Proceedings of the VLDB Endowment, Volume 15, 2021-2022

• Editors-in-Chief: Fatma Ozcan, Juliana Freire, and Xuemin Lin
• Publication Editors: Xin Cao and Lijun Chang
• Associate Editors: Arun Kumar, Azza Abouzied, Beng Chin Ooi, Boris Glavic, Dan Suciu, Divyakant Agrawal, Eugene Wu, Georgia Koutrika, Jeffrey Xu Yu, Julia Stoyanovich, Jun Yang, K. Sel√ßuk Candan, Khuzaima Daudjee, Laks Lakshmanan, Laure Berti-Equille, Lei Chen, Mohamed Mokbel, Neoklis Polyzotis, Papotti Paolo, Peter Boncz, Sebastian Schelter, Sharad Mehrotra, Sourav S Bhowmick, Surajit Chaudhuri, Themis Palpanas, Vanessa Braganholo, Wang-Chiew Tan, Wenjie Zhang, Wook-Shin Han, Xiaofang Zhou
• Review Board: see full list

Volume 15, No. 1, September 2021

• Juliana Freire and Xuemin Lin:
  Front Matter. i - vi.
• Kang Zhao, Liuyihan Song, Yingya Zhang, Pan Pan, Yinghui Xu, Rong Jin:
  ANN Softmax: Acceleration of Extreme Classification Training. 1 - 10.
• Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi:
  WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model. 11 - 20.
• Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, and Matei Zaharia:
  DBOS: A DBMS-oriented Operating System. 21 - 30.
• Arjit Jain, Sunita Sarawagi, Prithviraj Sen:
  Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. 31 - 45.
• Xuanhe Zhou, Guoliang Li, Chengliang Chai, Jianhua Feng:
  A Learned Query Rewrite System using Monte Carlo Tree Search. 46 - 58.
• Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo:
  On Detecting Cherry-picked Generalizations. 59 - 71.
• Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li:
  FACE: A Normalizing Flow based Cardinality Estimator. 72 - 84.
• Ji Sun, Jintao Zhang, Zhaoyan Sun, Guoliang Li, Nan Tang:
  Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation. 85 - 97.
• Dong He, Maureen Daum, Walter Cai, Magdalena Balazinska:
  DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation. 98 - 111.
• Subarna Chatterjee, Meena Jagadeesan, Wilson Qin, Stratos Idreos:
  Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine. 112 - 126.
• Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
  Accelerating Recommendation System Training by Leveraging Popular Choices. 127 - 140.

Volume 15, No. 2, October 2021

• Juliana Freire and Xuemin Lin:
  Front Matter. i - vii.
  .
• Jianye Yang, Yun Peng, Wenjie Zhang:
  (p,q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs. 141 - 153.
• Dan Graur, Ingo Müller, Mason Proffitt, Ghislain Fourny, Gordon T. Watts, Gustavo Alonso:
  Evaluating Query Languages and Systems for High-Energy Physics Data. 154 - 168.
• Kongzhang Hao, Long Yuan, Wenjie Zhang:
  Distributed Hop-Constrained s-t Simple Path Enumeration at Billion Scale. 169 - 182.
• Jingzhi Fang, Yanyan Shen, Yue Wang, Lei Chen:
  ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program Reuse. 183 - 195.
• Philipp Marian Grulich, Steffen Zeuch, Volker Markl:
  Babelfish: Efficient Execution of Polyglot Queries. 196 - 210.
• Alexander Zhou, Yue Wang, Lei Chen:
  Butterfly Counting on Uncertain Bipartite Networks. 211 - 223.
• Yue Cui, Kai Zheng, Dingshan Cui, Jiandong Xie, Liwei Deng, Feiteng Huang, Xiaofang Zhou:
  METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting. 224 - 236.
• Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao:
  LargeEA: Aligning Entities for Large-scale Knowledge Graphs. 237 - 245.
• Kejing Lu, Mineichi Kudo, Chuan Xiao, Yoshiharu Ishikawa:
  HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search. 246 - 258.
• Arif Arman, Dmitri Loguinov:
  Origami: A High-Performance Mergesort Framework. 259 - 271.
• Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
  Learning to be a Statistician: Learned Estimator for Number of Distinct Values. 272 - 284.
• Shangdi Yu, Yiqiu Wang, Yan Gu, Laxman Dhulipala, Julian Shun:
  ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain. 285 - 298.
• Komal Chauhan, Kartik Jain, Sayan Ranu, Srikanta Bedathur, Amitabha Bagchi:
  Answering Regular Path Queries through Exemplars. 299 - 311.
• Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
  HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. 312 - 320.
• Pengfei Li, Yu Hua, Jingnan Jia, Pengfei Zuo:
  FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems. 321 - 334.
• Jiyang Bai, Peixiang Zhao:
  TaGSim: Type-aware Graph Similarity Learning and Computation. 335 - 347.
• Yuqing Zhu, Jing Tang, Xueyan Tang, Lei Chen:
  Analysis of Influence Contribution in Social Advertising. 348 - 360.
• Georgios R Theodorakis, Fotios Kounelis, Peter Pietzuch, Holger Pirk:
  Scabbard: Single-Node Fault-Tolerant Stream Processing. 361 - 374.
• George Konstantinidis, Jet Holt, Adriane Chapman:
  Enabling Personal Consent in Databases. 375 - 387.

Volume 15, No. 3, November 2021

• Juliana Freire and Xuemin Lin:
  Front Matter. i - vii.
• Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu:
  Enabling SQL-based Training Data Debugging for Federated Learning. 388 - 400.
• Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri:
  Leveraging Query Logs and Machine Learning for Parametric Query Optimization. 401 - 413.
• Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri:
  Pre-training Summarization Models of Structured Datasets for Cardinality Estimation. 414 - 426.
• Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang:
  xFraud: Explainable Fraud Transaction Detection. 427 - 436.
• Ye Yuan, Delong Ma, Zhenyu Wen, Zhiwei Zhang, Guoren Wang:
  Subgraph Matching over Graph Federation. 437 - 450.
• Xing Niu, Boris Glavic, Ziyu Liu, Pengyuan Li, Dieter Gawlick, Vasudha Krishnaswamy, Zhen Hua Liu, Danica Porobic:
  Provenance-based Data Skipping. 451 - 464.
• Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra:
  Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. 465 - 477.
• Lu Xing, Eric Lee, Tong An, Bo-cheng Chu, Ahmed Mahmood, Ahmed M. Aly, Jianguo Wang, Walid G. Aref:
  An Experimental Evaluation and Investigation of Waves of Misery in R-trees. 478 - 490.
• Yongyi Liu, Ahmed Mahmood, Amr Magdy, Sergio Rey:
  PRUC : P-Regions with User-Defined Constraint. 491 - 503.
• Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang:
  Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. 504 - 512.
• Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu:
  SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization. 513 - 526.
• Jens Dittrich, Joris Nix, Christian Schön:
  The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures. 527 - 540.
• Koral Chapnik, Ilya Kolchinsky, Assaf Schuster:
  DARLING: Data-Aware Load Shedding in Complex Event Processing Systems. 541 - 554.
• Danyang Zhuo, Kaiyuan Zhang, Zhuohan Li, Siyuan Zhuang, Stephanie Wang, Ang Chen, Ion Stoica:
  Rearchitecting In-Memory Object Stores for Low Latency. 555 - 568.
• Pingchuan Ma, Shuai Wang:
  MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations. 569 - 582.
• Jessica Shi, Laxman Dhulipala, Julian Shun:
  Theoretically and Practically Efficient Parallel Nucleus Decomposition. 583 - 596.
• Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, Tianzheng Wang:
  APEX: A High-Performance Learned Index on Persistent Memory. 597 - 610.
• David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S Jensen:
  Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. 611 - 623.
• Xiaoye Miao, Yangyang Wu, Lu Chen, Yunjun Gao, Jun Wang, Jianwei Yin:
  Efficient and Effective Data Imputation with Influence Functions. 624 - 632.
• Adrian Kochsiek, Rainer Gemulla:
  Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques. 633 - 645.
• Gerardo Vitagliano, Lan Jiang, Felix Naumann:
  Detecting Layout Templates in Complex Multiregion Files. 646 - 658.
• Kajetan Maliszewski, Jorge Arnulfo Quiane Ruiz, Jonas Traub, Volker Markl:
  What Is the Price for Joining Securely? Benchmarking Equi-Joins in Trusted Execution Environments. 659 - 672.
• Van Long Ho, Nguyen Ho, Torben Bach Pedersen:
  Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information. 673 - 685.
• Junhua Zhang, Long Yuan, Wentao Li, Lu Qin, Ying Zhang:
  Efficient Label-Constrained Shortest Path Queries on Road Networks: A Tree Decomposition Approach. 686 - 698.
• Sahaana Suri, Ihab F Ilyas, Christopher Re, Theodoros Rekatsinas:
  Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. 699 - 712.
• Tin Vu, Ahmed Eldawy, Vagelis Hristidis, Vassilis J. Tsotras:
  Incremental Partitioning for Efficient Spatial Data Analytics. 713 - 726.
• Doris Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya Parameswaran:
  Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows. 727 - 738.
• Devin Petersohn, Dixin Tang, Rehan S Durrani, Areg Melik-adamyan, Joseph Gonzalez, Anthony Joseph, Aditya Parameswaran:
  Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System. 739 - 751.

Volume 15, No. 4, December 2021

• Juliana Freire and Xuemin Lin:
  Front Matter. i - vii.
• Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
  Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. 752 - 765.
• Qizhen Zhang, Philip A Bernstein, Daniel S Berger, Badrish Chandramouli:
  Redy: Remote Dynamic Memory Cache. 766 - 779.
• Martin Boissier:
  Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems. 780 - 793.
• Shulong Tan, Weijie Zhao, Ping Li:
  Fast Neural Ranking on Bipartite Graph Indices. 794 - 803.
• Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang:
  BAGUA: Scaling up Distributed Learning with System Relaxations. 804 - 813.
• Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu:
  SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization. 814 - 827.
• Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
  Projected Federated Averaging with Heterogeneous Differential Privacy. 828 - 840.
• Daniel Haimovich, Dmytro Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic:
  Popularity Prediction for Social Media over Arbitrary Time Horizons. 841 - 849.
• Ishita Doshi, Dhritiman Das, Ashish Bhutani, Rajeev Kumar, Rushi Bhatt, Niranjan Balasubramanian:
  LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System. 850 - 858.
• Eduardo H. M. Pena, Eduardo Cunha De Almeida, Felix Naumann:
  Fast Detection of Denial Constraint Violations. 859 - 871.
• Bowen Yu, Guanyu Feng, Huanqi Cao, Xiaohan Li, Zhenbo Sun, Haojie Wang, Xiaowei Zhu, Weimin Zheng, Wenguang Chen:
  Chukonu: A Fully-Featured High-Performance Big Data Framework that Integrates a Native Compute Engine into Spark. 872 - 885.
• Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao:
  COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. 886 - 899.
• Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou:
  Federated Matrix Factorization with Privacy Guarantee. 900 - 913.
• Chi Thang Duong, Dung Trung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
  Scalable Robust Graph Embedding with Spark. 914 - 922.
• Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar:
  Database Workload Characterization with Query Plan Encoders. 923 - 935.
• Abhishek Modi, Kaushik Rajan, Srinivas Thimmaiah, Prakhar Jain, Swinky Mann, Ayushi Agarwal, Ajith Shetty, Shahid K I, Ashit Gosalia, Partho Sarthi:
  New Query Optimization Techniques in the Spark Engine of Azure Synapse. 936 - 948.
• Phanwadee Sinthong, Dhaval Patel, Nianjun Zhou, Shrey Shrivastava, Arun Iyengar, Anuradha Bhamidipaty:
  DQDF: Data-Quality-Aware Dataframes. 949 - 957.
• Archita Agarwal, Marilyn George, Aaron R Jeyaraj, Malte Schwarzkopf:
  Retrofitting GDPR Compliance onto Legacy Databases. 958 - 970.
• Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S Jensen:
  AutoCTS: Automated Correlated Time Series Forecasting. 971 - 983.
• Sivaprasad Sudhir, Michael Cafarella, Samuel Madden:
  Replicated Layout for In-Memory Database Systems. 984 - 997.

Volume 15, No. 5, January 2022

• Fatma Ozcan, Juliana Freire and Xuemin Lin:
  Front Matter. i - vi.
• Anupam Sanghi, Shadab Ahmed, Jayant R Haritsa:
  Projection-Compliant Database Generation. 998 - 1010.
• Guodong Jin, Semih Salihoglu:
  Making RDBMSs Efficient on Graph Workloads Through Predefined Joins. 1011 - 1023.
• Shaleen Deep, Xiao Hu, Paraschos Koutris:
  Ranked Enumeration of Join Queries with Projections. 1024 - 1037.
• Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-gon Chun:
  Hippo: Sharing Computations in Hyper-Parameter Optimization. 1038 - 1052.
• Arik Rinberg, Tomer Solomon, Roee Shlomo, Guy Khazma, Gal Lushi, Idit Keidar, Paula Ta-shma:
  DSON: JSON CRDT Using Delta-Mutations For Document Stores. 1053 - 1065.
• Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita, Cyrus Shahabi:
  A Neural Database for Differentially Private Spatial Range Queries. 1066 - 1078.
• Marcel Maltry, Jens Dittrich:
  A Critical Analysis of Recursive Model Indexes. 1079 - 1091.
• Zerui Ge, Dumitrel Loghin, Beng Chin Ooi, Pingcheng Ruan, Tianwen Wang:
  Hybrid Blockchain Database Systems: Design and Performance. 1092 - 1104.
• Angela Bonifati, Stefania Dumbrava, George Fletcher, Jan Hidders, Matthias Hofer, Wim Martens, Filip Murlak, Joshua Shinavier, Sławek Staworko, Dominik Tomaszuk:
  Threshold Queries in Theory and in the Wild. 1105 - 1118.
• Moritz Sichert, Thomas Neumann:
  User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases. 1119 - 1131.

Volume 15, No. 6, February 2022

• Fatma Ozcan, Juliana Freire, and Xuemin Lin:
  Front Matter. i - vii.
• Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri:
  PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication. 1132 - 1145.
• Lijun Chang, Zhiyi Wang:
  A Near-Optimal Approach to Edge Connectivity-Based Hierarchical Graph Decomposition. 1146 - 1158.
• Yongxin Tong, Xuchen Pan, Yuxiang Zeng, Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv:
  Hu-Fu: Efficient and Secure Spatial Queries over Data Federation. 1159 - 1172.
• Per Fuchs, Jana Giceva, Domagoj Margan:
  Sortledton: a universal, transactional graph data structure. 1173 - 1186.
• Bowen Zhang, Shengan Zheng, Zhenlin Qi, Linpeng Huang:
  NBTree: a Lock-free PM-friendly Persistent B+-Tree for eADR-enabled PM Systems. 1187 - 1200.
• Shreshth Tuli, Giuliano Casale, Nicholas R Jennings:
  TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data. 1201 - 1214.
• Fuheng Zhao, Divy Agrawal, Amr El Abbadi, Ahmed Metwally:
  SpaceSaving± An Optimal Algorithm for Frequency Estimation and Frequent items in the Bounded Deletion Model. 1215 - 1227.
• Chenguang Zheng, Hongzhi Chen, Yuxuan Cheng, Zhezheng Song, Yifan Wu, Changji Li, James Cheng, Hao Yang, Shuai Zhang:
  ByteGNN: Efficient Graph Neural Network Training at Large Scale. 1228 - 1242.
• Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
  Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. 1243 - 1255.
• Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
  Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. 1256 - 1265.
• Koen Minartz, Jens D'hondt, Odysseas Papapetrou:
  Multivariate correlations discovery in static and streaming data. 1266 - 1278.
• Olga Poppe, Qun Guo, Willis Lang, Pankaj Arora, Morgan Oslake, Shize Xu, Ajay Kalhan:
  Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless. 1279 - 1287.
• Kewei Cheng, Xian Li, Yifan Xu, Xin Dong, Yizhou Sun:
  PGE: Robust Product Graph Embedding Learning for Error Detection. 1288 - 1296.
• Naga Nithin Manne, Shilvi Satpati, Tanu Malik, Amitabha Bagchi, Ashish Gehani, Amitabh Chaudhary:
  CHEX: Multiversion Replay with Ordered Checkpoints. 1297 - 1310.

Volume 15, No. 7, March 2022

• Fatma Ozcan, Juliana Freire, and Xuemin Lin:
  Front Matter. i - vii.
• Tomer Even, Guy Even, Adam Morrison:
  Prefix Filter: Practically and Theoretically Better Than Bloom. 1311 - 1323.
• Hiroyuki Yamada, Jun Nemoto:
  Scalar DL: Scalable and Practical Byzantine Fault Detection for Transactional Database Systems. 1324 - 1336.
• Gyuyeong Kim, Wonjun Lee:
  In-Network Leaderless Replication for Distributed Data Stores. 1337 - 1349.
• Xin Sun, Xin Huang, Di Jin:
  Fast Algorithms for Core Maximization on Large Graphs. 1350 - 1362.
• Shuye Pan, Peng Wang, Chen Wang, Wei Wang, Jianmin Wang:
  NLC: Search Correlated Window Pairs on Long Time Series. 1363 - 1375.
• Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-rong Wen:
  Edge-based Local Push for Personalized PageRank. 1376 - 1389.
• Harry Kai-ho Chan, Huan Li, Xiao Li, Hua Lu:
  Continuous Social Distance Monitoring in Indoor Space. 1390 - 1402.
• Xibo Sun, Shixuan Sun, Qiong Luo, Bingsheng He:
  An In-Depth Study of Continuous Subgraph Matching. 1403 - 1416.
• Abhinav Mishra, Ram Sriharsha, Sichen Zhong:
  OnlineSTL: Scaling Time Series Decomposition by 100x. 1417 - 1425.
• Haoyu Li, Qizhi Chen, Yixin Zhang, Tong Yang, Bin Cui:
  Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation. 1426 - 1438.
• Yang Wang, Miao Yu, Yujie Hui, Fang Zhou, Yuyang Huang, Rui Zhu, Xueyuan Ren, Tianxi Li, Xiaoyi Lu:
  A Study of Database Performance Sensitivity to Experiment Settings. 1439 - 1452.
• Zemin Chao, Hong Gao, Yinan An, Jianzhong Li:
  The Inherent Time Complexity and An Efficient Algorithm for Subsequence Matching Problem. 1453 - 1465.
• Chengliang Chai, Jiabin Liu, Nan Tang, Guoliang Li, Yuyu Luo:
  Selective Data Acquisition in the Wild for Model Charging. 1466 - 1478.
• Wenfei Fan, Wenzhi Fu, Ruochun Jin, Ping Lu, Chao Tian:
  Discovering Association Rules from Big Graphs. 1479 - 1492.
• Xiaolin Han, Reynold Cheng, Chenhao Ma, Tobias Grubenman:
  DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection. 1493 - 1505.
• Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Felix Naumann:
  Entity Resolution On-Demand. 1506 - 1518.

Volume 15, No. 8, April 2022

• Fatma Ozcan, Juliana Freire, and Xuemin Lin:
  Front Matter. i - vii.
• Afnan G Alhazmi, Tom Blount, George Konstantinidis:
  ForBackBench: A Benchmark for Chasing vs. Query-Rewriting. 1519 - 1532.
• Jeremy Chen, Yuqing Huang, Mushi Wang, Semih Salihoglu, Kenneth Salem:
  Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs. 1533 - 1545.
• Xuankun Liao, Qing Liu, Jiaxin Jiang, Xin Huang, Jianliang Xu, Byron Choi:
  Distributed D-core Decomposition over Large Directed Graphs. 1546 - 1558.
• Lu Chen, Chengfei Liu, Rui Zhou, Jiajie Xu, Jianxin Li:
  Efficient Maximal Biclique Enumeration for Large Sparse Bipartite Graphs. 1559 - 1571.
• Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis:
  TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. 1572 - 1580.
• Binhang Yuan, Cameron Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine:
  Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. 1581 - 1590.
• Sebastian C Burckhardt, Badrish Chandramouli, Chris Gillum, David A Justo, Konstantinos Kallas, Connor Mcmahon, Christopher Meiklejohn, Xiangfeng Zhu:
  Netherite: Efficient Execution of Serverless Workflows. 1591 - 1604.
• Andy Huynh, Harshal Chaudhari, Evimaria Terzi, Manos Athanassoulis:
  Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty. 1605 - 1618.
• Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen:
  An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. 1619 - 1631.
• Kapil Vaidya, Tim Kraska, Subarna Chatterjee, Eric R Knorr, Michael Mitzenmacher, Stratos Idreos:
  SNARF: A Learning-Enhanced Range Filter. 1632 - 1644.
• Xin Chen, You Peng, Sibo Wang, Jeffrey Xu Yu:
  DLCR: Efficient Indexing for Label-Constrained Reachability Queries on Large Dynamic Graphs. 1645 - 1657.
• Yue Zhao, Gao Cong, Jiachen Shi, Chunyan Miao:
  QueryFormer: A Tree Transformer Model for Query Plan Representation. 1658 - 1670.
• Leon Lee, Siphrey Xie, Yunus Ma, Shimin Chen:
  Index Checkpoints for Instant Recovery in In-Memory Database Systems. 1671 - 1683.
• Mahdi Esmailoghli, Jorge Arnulfo Quiane Ruiz, Ziawasch Abedjan:
  MATE: Multi-Attribute Table Extraction. 1684 - 1696.
• John Paparrizos, Yuhao Kang, Paul Boniol, Ruey Tsay, Themis Palpanas, Michael Franklin:
  TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. 1697 - 1711.
• Manuel Leone, Stefano Huber, Akhil Arora, Alberto Garcia-duran, Robert West:
  A Critical Re-evaluation of Neural Methods for Entity Alignment. 1712 - 1725.
• Matteo Paganelli, Francesco Del Buono, Andrea Baraldi, Francesco Guerra:
  Analyzing How BERT Performs Entity Matching. 1726 - 1738.

Volume 15, No. 9, May 2022

• Fatma Ozcan, Juliana Freire, and Xuemin Lin:
  Front Matter. i - viii.
• Balaji Arun, Binoy Ravindran:
  Scalable Byzantine Fault Tolerance via Partial Decentralization. 1739 - 1752.
• Huan Li, Lanjing Yi, Bo Tang, Hua Lu, Christian S Jensen:
  Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments. 1753 - 1765.
• Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa:
  HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. 1766 - 1778.
• Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock:
  Anomaly Detection in Time Series: A Comprehensive Evaluation. 1779 - 1797.
• Brit Youngmann, Sihem Amer-yahia, Aurélien Personnaz:
  Guided Exploration of Data Summaries. 1798 - 1807.
• Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:
  Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. 1808 - 1821.
• Zuan Wang, Xiaofeng Ding, Hai Jin, Pan Zhou:
  Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data. 1822 - 1834.
• Zhuoyue Zhao, Dong Xie, Feifei Li:
  AB-tree: Index for Concurrent Random Sampling and Updates. 1835 - 1847.
• Chenguang Fang, Shaoxu Song, Yinan Mei:
  On Repairing Timestamps for Regular Interval Time Series. 1848 - 1860.
• Wenfei Fan, Ruochun Jin, Ping Lu, Chao Tian, Ruiqi Xu:
  Towards Event Prediction in Temporal Graphs. 1861 - 1874.
• Yihuai Liang, Yan Li, Byeong-seok Shin:
  Decentralized Crowdsourcing for Human Intelligence Tasks with Efficient On-Chain Cost. 1875 - 1888.
• Yue Wang, Ruiqi Xu, Xun Jian, Alexander Zhou, Lei Chen:
  Towards Distributed Bitruss Decomposition on Bipartite Graphs. 1889 - 1901.
• Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
  Generalized Supervised Meta-blocking. 1902 - 1910.
• Mijin An, Soojun Im, Dawoon Jung, Sang Won Lee:
  Your Read is Our Priority in Flash Storage. 1911 - 1923.
• Arindam Bhattacharya, Chathur Gudesa, Amitabha Bagchi, Srikanta Bedathur:
  New Wine in an Old Bottle: Data-aware Hash Functions for Bloom Filters. 1924 - 1936.
• Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao:
  SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks. 1937 - 1950.
• Marco Bucchi, Alejandro Grez, Andres F Quintana, Cristian Riveros, Stijn Vansummeren:
  CORE: a COmplex event Recognition Engine. 1951 - 1964.
• Audrey Cheng, Xiao Shi, Aaron N Kabcenell, Shilpa Lawande, Hamza Qadeer, Jason Chan, Harrison Tin, Ryan Zhao, Peter Bailis, Mahesh Balakrishnan, Nathan Bronson, Natacha Crooks, Ion Stoica:
  TAOBench: An End-to-End Benchmark for Social Networking Workloads. 1965 - 1977.

Volume 15, No. 10, June 2022

• Fatma Ozcan, Juliana Freire, and Xuemin Lin:
  Front Matter. i - vii.
• Aarati Kakaraparthy, Jignesh Patel, Brian Kroth, Kwanghyun Park:
  VIP Hashing - Adapting to Skew in Popularity of Data on the Fly. 1978 - 1990.
• Tobias Vincon, Christian Knoedler, Leonardo Solis-vasquez, Arthur Bernhardt, Sajjad Tamimi, Lukas Weber, Florian Stock, Andreas Koch, Ilia Petrov:
  Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads. 1991 - 2004.
• Karima Echihabi, Panagiota Fatourou, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
  Hercules Against Data Series Similarity Search. 2005 - 2018.
• Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri:
  DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning. 2019 - 2031.
• Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang:
  Optimizing Machine Learning Inference Queries with Correlative Proxy Models. 2032 - 2044.
• Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Zeng Kai, Jingren Zhou:
  Banyan: A Scoped Dataflow Engine for Graph Query Service. 2045 - 2057.
• Ziyue Huang, Yuan Qiu, Ke Yi, Graham Cormode:
  Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming. 2058 - 2070.
• Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni:
  Optimizing Inference Serving on Serverless Platforms. 2071 - 2084.
• Wail Y Alkowaileet, Michael Carey:
  Columnar Formats for Schemaless LSM-based Document Stores. 2085 - 2097.
• Yu-xuan Qiu, Dong Wen, Lu Qin, Wentao Li, Ronghua Li, Ying Zhang:
  Efficient Shortest Path Counting on Large Road Networks. 2098 - 2110.
• Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui:
  Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Update. 2111 - 2120.
• Yifan Zhu, Lu Chen, Yunjun Gao, Baihua Zheng, Pengfei Wang:
  DESIRE: An Efficient Dynamic Cluster-based Forest Indexing for Similarity Search in Multi-Metric Spaces. 2121 - 2133.
• Junghoon Kim, Kaiyu Feng, Gao Cong, Diwen Zhu, Wenyuan Yu, Chunyan Miao:
  ABC: Attributed Bipartite Co-clustering. 2134 - 2147.
• Jinzhao Xiao, Yuxiang Huang, Changyu Hu, Shaoxu Song, Xiangdong Huang, Jianmin Wang:
  Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB. 2148 - 2160.
• Teng Zhang, Jian Tan, Xin Cai, Jianying Wang, Feifei Li, Jianling Sun:
  SA-LSM : Optimize Data Layout for LSM-tree Based Storage using Survival Analysis. 2161 - 2174.
• Paolo Ferragina, Giovanni Manzini, Travis Gagie, Dominik Köppl, Gonzalo Navarro, Manuel Striani, Francesco Tosoni:
  Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices. 2175 - 2187.
• Shangyu Wu, Yufei Cui, Jinghuan Yu, Xuan Sun, Tei-wei Kuo, Chun Jason Xue:
  NFL: Robust Learned Index via Distribution Transformation. 2188 - 2200.
• Hamidreza Zare, Viveck Cadambe, Bhuvan Urgaonkar, Nader Alfares, Praneet Soni, Chetan Sharma, Arif Merchant:
  LEGOStore: A Linearizable Geo-Distributed Store Combining Replication and Erasure Coding. 2201 - 2215.
• Michael Simpson, Laks V.s. Lakshmanan, Farnoosh Hashemi:
  Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties. 2216 - 2229.
• Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, Jia Zou:
  Serving Deep Learning Models with Deduplication from Relational Databases. 2230 - 2243.
• Zichun Huang, Shimin Chen:
  Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations. 2244 - 2256.
• Shiva Jahangiri, Michael Carey, Johann-christoph Freytag:
  Design Trade-offs for a Robust Dynamic Hybrid Hash Join. 2257 - 2269.
• Yannis E Foufoulas, Alkis Simitsis, Eleftherios Stamatogiannakis, Yannis Ioannidis:
  YeSQL: “You extend SQL” with Rich and Highly Performant User-Defined Functions in Relational Databases. 2270 - 2283.
• Shqiponja Ahmetaj, Bianca Löhnert, Magdalena Ortiz, Mantas Simkus:
  Magic Shapes for SHACL Validation. 2284 - 2296.

Volume 15, No. 11, July 2022

• Fatma Ozcan, Juliana Freire, and Xuemin Lin:
  Front Matter. i - x
• Arpit Merchant, Aristides Gionis, Michael Mathioudakis:
  Succinct Graph Representations as Distance Oracles: An Experimental Evaluation. 2297 - 2306.
• Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li:
  Effective Community Search over Large Star-Schema Heterogeneous Information Networks. 2307 - 2320.
• Kai Ming Ting, Zongyou Liu, Hang Zhang, Ye Zhu:
  A New Distributional Treatment for Time Series and An Anomaly Detection Investigation. 2321 - 2333.
• Benjamin Denham, Edmund M K Lai, Roopak Sinha, M. Asif Naeem:
  Witan: Unsupervised Labelling Function Generation for Assisted Data Programming. 2334 - 2347.
• Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Tan, Khin Mi Mi Aung:
  Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. 2348 - 2360.
• Benjamin Hilprecht, Carsten Binnig:
  Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. 2361 - 2374.
• Dalsu Choi, Hyunsik Yoon, Hyubjin Lee, Yon Dohn Chung:
  Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System. 2375 - 2388.
• Michael Jungmair, André Kohn, Jana Giceva:
  Designing an Open Framework for Query Optimization and Compilation. 2389 - 2401.
• Duy Lam Nguyen, Sang Won Lee, Beomseok Nam:
  In-Page Shadowing and Two-Version Timestamp Ordering for Mobile DBMSs. 2402 - 2414.
• Shixuan Sun, Xibo Sun, Bingsheng He, Qiong Luo:
  RapidFlow: An Efficient Approach to Continuous Subgraph Matching. 2415 - 2427.
• Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
  A Scalable AutoML Approach Based on Graph Neural Networks. 2428 - 2436.
• Primal Pappachan, Shufan Zhang, Xi He, Sharad Mehrotra:
  Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data. 2437 - 2449.
• Qingyu Xu, Feng Zhang, Zhiming Yao, Lv Lu, Xiaoyong Du, Dong Deng, Bingsheng He:
  Efficient Load-Balanced Butterfly Counting on GPU. 2450 - 2462.
• Lawrence Benson, Leon Papke, Tilmann Rabl:
  PerMA-Bench: Benchmarking Persistent Memory Access. 2463 - 2476.
• Yuliang He, Duo Lu, Kaisong Huang, Tianzheng Wang:
  Evaluating Persistent Memory Range Indexes: Part Two. 2477 - 2490.
• Bobbi W Yogatama, Weiwei Gong, Xiangyao Yu:
  Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS. 2491 - 2503.
• Weicheng Wang, Raymond Chi-wing Wong:
  Interactive Mining with Ordered and Unordered Attributes. 2504 - 2516.
• Wenzhe Yang, Sheng Wang, Yuan Sun, Zhiyong Peng:
  Fast Dataset Search with Earth Mover's Distance. 2517 - 2529.
• João L. M. Pereira, João Casanova, Helena Galhardas, Dennis Shasha:
  AcX: System, Techniques, and Experiments for Acronym Expansion. 2530 - 2544.
• Hongzhi Chen, Changji Li, Chenguang Zheng, Chenghuan Huang, Juncheng Fang, James Cheng, Jian Zhang:
  G-Tran: A High Performance Distributed Graph Database with a Decentralized Architecture. 2545 - 2558.
• Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek Narasayya:
  Tenant Placement in Over-subscribed Database-as-a-Service Clusters. 2559 - 2571.
• Yue Chen, Kaiyu Feng, Gao Cong, Han Mao Kiah:
  Example-based Spatial Pattern Matching. 2572 - 2584.
• Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu:
  NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering. 2585 - 2598.
• Ryan Mckenna, Brett Mullins, Daniel Sheldon, Gerome Miklau:
  AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data. 2599 - 2612.
• Etienne Jr Toussaint, Paolo Guagliardo, Leonid Libkin, Juan Sequeda:
  Troubles with Nulls, Views from the Users. 2613 - 2625.
• Yeonhong Park, Sunhong Min, Jae W. Lee:
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching. 2626 - 2639.
• Junhua Zhang, Wentao Li, Long Yuan, Lu Qin, Ying Zhang, Lijun Chang:
  Shortest-Path Queries on Complex Networks: Experiments, Analyses, and Improvement. 2640 - 2652.
• Sameera Ghayyur, Dhrubajyoti Ghosh, Xi He, Sharad Mehrotra:
  MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support. 2653 - 2665.
• Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Roberto Yus, Yasser Altowim:
  JENNER: Just-in-time Enrichment in Query Processing. 2666 - 2678.
• Jiaoyi Zhang, Yihan Gao:
  CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm. 2679 - 2691.
• Ian Swift, Sana Ebrahimi, Azade Nova, Abolfazl Asudeh:
  Maximizing Fair Content Spread via Edge Suggestion in Social Networks. 2692 - 2705.
• Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
  Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections. 2706 - 2718.
• Chenhao Ma, Reynold Cheng, Laks V.s. Lakshmanan, Xiaolin Han:
  Finding Locally Densest Subgraphs: A Convex Programming Approach. 2719 - 2732.
• Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S Jensen:
  Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. 2733 - 2746.
• Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim:
  Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers. 2747 - 2760.
• Xuan Luo, Jian Pei, Zicun Cong, Cheng Xu:
  On Shapley Value in Data Assemblage Under Independent Utility. 2761 - 2773.
• John Paparrizos, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J Elmore, Michael Franklin:
  Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. 2774 - 2787.
• Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li:
  Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. 2788 - 2796.
• Michael Freitag, Alfons Kemper, Thomas Neumann:
  Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems. 2797 - 2810.
• Dong He, Supun C Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-rodríguez, Konstantinos Karanasos, Matteo Interlandi:
  Query Processing on Tensor Computation Runtimes. 2811 - 2825.
• Yifu Tang, Jianxin Li, Nur Al Hasan Haldar, Ziyu Guan, Jiajie Xu, Chengfei Liu:
  Reliable Community Search in Dynamic Networks. 2826 - 2838.
• Mohammad Javad Amiri, Boon Thau Loo, Divy Agrawal, Amr El Abbadi:
  Qanaat: A Scalable Multi-Enterprise Permissioned Blockchain System with Confidentiality Guarantees. 2839 - 2852.
• Tsz Nam Chan, Leong Hou U, Yun Peng, Byron Choi, Jianliang Xu:
  Fast Network K-function-based Spatial Analysis. 2853 - 2866.
• Robert Lasch, Thomas Legler, Norman May, Bernhard Scheirle, Kai-uwe Sattler:
  Cost Modelling for Optimal Data Placement in Heterogeneous Main Memory. 2867 - 2880.
• Junru Li, Youyou Lu, Yiming Zhang, Qing Wang, Zhuo Cheng, Keji Huang, Jiwu Shu:
  SwitchTx: Scalable In-Network Coordination for Distributed Transaction Processing. 2881 - 2894.
• Lukas Vogel, Alexander Van Renen, Satoshi Imamura, Jana Giceva, Thomas Neumann, Alfons Kemper:
  Plush: A Write-Optimized Persistent Log-Structured Hash-Table. 2895 - 2907.
• Fangyuan Zhang, Sibo Wang:
  Effective Indexing for Dynamic Structural Graph Clustering. 2908 - 2920.
• Immanuel Trummer:
  CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex. 2921 - 2928.
• Arnab Phani, Lukas Erlbacher, Matthias Boehm:
  UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads. 2929 - 2938.
• Xinjing Zhou, Xiangyao Yu, Goetz Graefe, Michael Stonebraker:
  Lotus: Scalable Multi-Partition Transactions on Single-Threaded Partitioned Databases. 2939 - 2952.
• Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas C Mueller, Carlo Curino, Shivaram Venkataraman:
  LlamaTune: Sample-Efficient DBMS Configuration Tuning. 2953 - 2965.
• Christian Winter, Jana Giceva, Thomas Neumann, Alfons Kemper:
  On-Demand State Separation for Cloud Data Warehousing. 2966 - 2979.
• Immanuel Trummer:
  BABOONS: Black-Box Optimization of Data Summaries in Natural Language. 2980 - 2993.
• Xiaoying Wang, Weiyuan Wu, Jinze Wu, Yizhou Chen, Nick Zrymiak, Changbo Qu, Lampros Flokas, George Chow, Jiannan Wang, Tianzheng Wang, Eugene Wu, Qingqing Zhou:
  ConnectorX: Accelerating Data Loading From Databases to Dataframes. 2994 - 3003.
• Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang:
  Are Updatable Learned Indexes Ready?. 3004 - 3017.
• Maximilian Reif, Thomas Neumann:
  A Scalable and Generic Approach to Range Joins. 3018 - 3030.
• Ellen Hohma, Christian M.m. Frey, Anna Beer, Thomas Seidl:
  SCAR - Spectral Clustering Accelerated and Robustified. 3031 - 3044.
• Michael Benedikt, Maxime Buron, Stefano Germano, Kevin Kappelmann, Boris Motik:
  Rewriting the Infinite Chase. 3045 - 3057.
• Panagiotis Liakos, Katia Papakonstantinopoulou, Yannis Kotidis:
  Chimp: Efficient Lossless Floating Point Compression for Time Series Databases. 3058 - 3070.
• Niv Dayan, Tamar Weiss, Shmuel Dashevsky, Michael Pan, Edward Bortnikov, Moshe Twitto:
  Spooky: Granulating LSM-Tree Compactions Correctly. 3071 - 3084.
• Kai Yao, Lijun Chang, Jeffrey Xu Yu:
  Identifying Similar-Bicliques in Bipartite Graphs. 3085 - 3097.
• Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou:
  Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. 3098 - 3111.
• Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou:
  FHL-Cube: Multi-Constraint Shortest Path Querying with Flexible Combination of Constraints. 3112 - 3125.
• Michael Abebe, Horatiu Lazu, Khuzaima Daudjee:
  Tiresias: Enabling Predictive Autonomous Storage and Indexing. 3126 - 3136.
• Abolfazl Asudeh, Fatemeh Nargesian:
  Towards Distribution-aware Query Answering in Data Markets. 3137 - 3144.
• Suyong Kwon, Woohwan Jung, Kyuseok Shim:
  Cardinality Estimation of Approximate Substring Queries using Deep Learning. 3145 - 3157.
• Karla Saur, Tara Mirmira, Konstantinos Karanasos, Jesús Camacho-rodríguez:
  Containerized Execution of UDFs: An Experimental Evaluation. 3158 - 3171.
• Siyuan Xia, Zhiru Zhu, Christopher Zhu, Jinjin Zhao, Kyle Chard, Aaron J Elmore, Ian Foster, Michael Franklin, Sanjay Krishnan, Raul Castro Fernandez:
  Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. 3172 - 3185.
• Khaled Ammar, Siddhartha Sahu, Semih Salihoglu, Tamer Özsu:
  Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs. 3186 - 3198.
• Zihan Luo, Lei Li, Mengxuan Zhang, Wen Hua, Yehong Xu, Xiaofang Zhou:
  Diversified Top-k Route Planning in Road Network. 3199 - 3212.
• Xiangmin Zhou, Lei Chen:
  Migrating Social Event Recommendation Over Microblogs. 3213 - 3225.
• Yueting Chen, Nick Koudas, Xiaohui Yu, Ziqiang Yu:
  Spatial and Temporal Constrained Ranked Retrieval over Videos. 3226 - 3239.
• Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
  SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. 3240 - 3248.
• Antonis Manousis, Zhuo Cheng, Ran Ben Basat, Zaoxing Liu, Vyas Sekar:
  Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams. 3249 - 3262.
• Qing Chen, Oded Lachish, Sven Helmer, Michael H Böhlen:
  Dynamic Spanning Trees for Connectivity Queries on Fully-dynamic Undirected Graphs. 3263 - 3276.

Volume 15, No. 12, August 2022

• Fatma Ozcan, Juliana Freire, and Xuemin Lin:
  Front Matter. i - xiv
Industrial Papers
• Monica Chiosa, Fabio Maschi, Ingo Müller, Gustavo Alonso, Norman May:
  Hardware Acceleration of Compression and Encryption in SAP HANA. 3277 - 3291.
• Martin Graf, Lukas Laskowski, Florian Papsdorf, Florian Sold, Roland Gremmelspacher, Felix Naumann, Fabian Panse:
  Frost: A Platform for Benchmarking and Exploring Data Matching Results. 3292 - 3305.
• Changji Li, Hongzhi Chen, Shuai Zhang, Yingqian Hu, Chao Chen, Zhenjie Zhang, Meng Li, Xiangchen Li, Dongqing Han, Xiaohui Chen, Xudong Wang, Huiming Zhu, Xuwei Fu, Tingwei Wu, Hongfei Tan, Hengtian Ding, Mengjin Liu, Kangcheng Wang, Ting Ye, Lei Li, Xin Li, Yu Wang, Chenguang Zheng, Hao Yang, James Cheng:
  ByteGraph: A High-Performance Distributed Graph Database in ByteDance. 3306 - 3318.
• Prakash C Das, Shivangi Srivastava, Valentin Moskovich, Anmol Chaturvedi, Anant Mittal, Yongqin Xiao, Mosharaf Chowdhury:
  CDI-E: An Elastic Cloud Service for Data Engineering. 3319 - 3331.
• Sheng Wang, Yiran Li, Huorong Li, Feifei Li, Chengjin Tian, Le Su, Yanshan Zhang, Yubing Ma, Lie Yan, Yuanyuan Sun, Xuntao Cheng, Xiaolong Xie, Yu Zou:
  Operon: An Encrypted Database for Ownership-Preserving Data Management. 3332 - 3345.
• Caixin Gong, Chengjin Tian, Zhengheng Wang, Sheng Wang, Xiyu Wang, Qiulei Fu, Wu Qin, Qian Long, Rui Chen, Jiang Qi, Ruo Wang, Guoyun Zhu, Chenghu Yang, Wei Zhang, Feifei Li:
  Tair-PMem: a Fully Durable Non-Volatile Memory Database. 3346 - 3358.
• Branimir Lambov:
  Trie memtables in Cassandra. 3359 - 3371.
• Pedro Pedreira, Orri Erling, Maria Basmanova, Kevin Wilfong, Laith S Sakka, Krishna Pai, Wei He, Biswapesh Chattopadhyay:
  Velox: Meta’s Unified Execution Engine. 3372 - 3384.
• Zhenkun Yang, Chuanhui Yang, Fusheng Han, Mingqiang Zhuang, Bing Yang, Zhifeng Yang, Xiaojun Cheng, Yuzhong Zhao, Wenhui Shi, Huafeng Xi, Huang Yu, Bin Liu, Yi Pan, Boxue Yin, Junquan Chen, Quanqing Xu:
  OceanBase: A 707 Million tpmC Distributed Relational Database System. 3385 - 3397.
• Hai Lan, Jiong Xie, Zhifeng Bao, Feifei Li, Wei Tian, Fang Wang, Sheng Wang, Ailin Zhang:
  VRE: A Versatile, Robust, and Economical Trajectory Data System. 3398 - 3410.
• Jianjun Chen, Yonghua Ding, Ye Liu, Fangshi Li, Li Zhang, Mingyi Zhang, Kui Wei, Lixun Cao, Dan Zou, Yang Liu, Lei Zhang, Rui Shi, Wei Ding, Kai Wu, Shangyu Luo, Jason Sun, Yuming Liang:
  ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency. 3411 - 3424.
• Wolfram Wingerath, Benjamin Wollmer, Markus Bestehorn, Stephan Succo, Sophie Ferrlein, Florian Bücklers, Jörn Domnik, Fabian Panse, Erik Witt, Anil Sener, Felix Gessert, Norbert Ritter:
  Beaconnect: Continuous Web Performance A/B Testing at Scale. 3425 - 3431.
• Zongzhi Chen, Xinjun Yang, Feifei Li, Xuntao Cheng, Qingda Hu, Zheyu Miao, Rongbiao Xie, Xiaofei Wu, Kang Wang, Zhao Song, Haiqing Sun, Zechao Zhuang, Yuming Yang, Jie Xu, Liang Yin, Wenchao Zhou, Sheng Wang:
  CloudJump: Optimizing Cloud Databases for Cloud Storages. 3432 - 3444.
• Kaiping Zheng, Shaofeng Cai, Horng-ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi:
  DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. 3445 - 3458.
• Andrey Mishchenko, Dominique Danco, Abhilash Jindal, Adrian Blue:
  Blueprint: a constraint-solving approach for document extraction. 3459 - 3471.
• Muzhi Yu, Zhaoxiang Lin, Jinan Sun, Runyun Zhou, Guoqiang Jiang, Hua Huang, Shikun Zhang:
  TencentCLS: The Cloud Log Service with High Query Performances. 3472 - 3482.
• Jiong Xie, Zhen Chen, Jianwei Liu, Fang Wang, Feifei Li, Zhida Chen, Yinpei Liu, Songlu Cai, Zhenhua Fan, Fei Xiao, Yue Chen:
  Ganos: A Multidimensional, Dynamic, and Scene-Oriented Cloud-Native Spatial Database Engine. 3483 - 3495.
• Sarath Lakshman, Apaar Gupta, Rohan Suri, Scott D Lashley, John Liang, Srinath Duvuru, Ravi Mayuram:
  Magma: A high data density storage engine used in Couchbase. 3496 - 3508.
• Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M Ciortea, Sreraman Narasimhan, Subru Krishnan:
  Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud. 3509 - 3521.
• Stavros Harizopoulos, Taylor Hopper, Morton Mo, Shyam Sundar Chandrasekaran, Tongguang Chen, Yan Cui, Nandini Ganesh, Gary Helmling, Hieu Pham, Sebastian Wong:
  Meta's Next-generation Realtime Monitoring and Analytics Platform. 3522 - 3534.
• Kevin P Gaffney, Martin Prammer, Laurence C Brasfield, Richard Hipp, Dan R Kennedy, Jignesh Patel:
  SQLite: Past, Present, and Future. 3535 - 3547.
• Rentong Guo, Xiaofan Luan, Long Xiang, Xiao Yan, Xiaomeng Yi, Jigao Luo, Qianya Cheng, Weizhi Xu, Jiarui Luo, Frank Liu, Zhenshan Cao, Yanliang Qiao, Ting Wang, Bo Tang, Charles Xie:
  Manu: A Cloud Native Vector Database Management System. 3548 - 3561.
Demonstrations
• Sainyam Galhotra, Udayan Khurana:
  Automated Relational Data Explanation using External Semantic Knowledge. 3562 - 3565.
• Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili:
  Kelpie: an Explainability Framework for Embedding-based Link Prediction Models. 3566 - 3569.
• Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo:
  OREO: Detection of Cherry-picked Generalizations. 3570 - 3573.
• André Kohn, Dominik Moritz, Mark Raasveldt, Hannes Mühleisen, Thomas Neumann:
  DuckDB-Wasm: Fast Analytical Processing for the Web. 3574 - 3577.
• Yihai Xi, Ning Wang, Xinyu Chen, Yiyi Zhang, Zilong Wang, Zhihong Xu, Yue Wang:
  EasyDR: A Human-in-the-loop Error Detection&Repair Platform for Holistic Table Cleaning. 3578 - 3581.
• Xuchen Pan, Yongxin Tong, Chunbo Xue, Zimu Zhou, Junping Du, Yuxiang Zeng, Yexuan Shi, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv:
  Hu-Fu: A Data Federation System for Secure Spatial Queries. 3582 - 3585.
• Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig:
  Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases. 3586 - 3589.
• Aurélien Personnaz, Brit Youngmann, Sihem Amer-yahia:
  EDA4SUM: Guided Exploration of Data Summaries. 3590 - 3593.
• Chenjie Li, Juseung Lee, Zhengjie Miao, Boris Glavic, Sudeepa Roy:
  CaJaDE: Explaining Query Results by Augmenting Provenance with Context. 3594 - 3597.
• Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi:
  Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem. 3598 - 3601.
• Jess Tan, Desmond Yeoh, Rachael Neoh, Huey Eng Chua, Sourav S Bhowmick:
  MOCHA: A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education. 3602 - 3605.
• Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu:
  LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics. 3606 - 3609.
• Arul Ajmani, Aayush Shah, Alexander Shraer, Adam Storm, Rebecca Taft, Oliver Tan, Nathan Vanbenschoten:
  A Demonstration of Multi-Region CockroachDB. 3610 - 3613.
• Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone:
  DPDS: Assisting Data Science with Data Provenance. 3614 - 3617.
• Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
  POEM: Pattern-Oriented Explanations of CNN Models. 3618 - 3621.
• Ramon Antonio Rodriges Zalipynis, Nikita A Terlych:
  WebArrayDB: A Geospatial Array DBMS in Your Web Browser. 3622 - 3625.
• Hai Lan, Yuanjia Zhang, Zhifeng Bao, Yu Dong, Dongxu Huang, Liu Tang, Jian Zhang:
  AutoDI: Towards an Automatic Plan Regression Analysis. 3626 - 3629.
• Susan B Davidson, Shay Gershtein, Tova Milo, Slava Novgorodov, May Shoshan:
  PHOcus: Efficiently Archiving Photos. 3630 - 3633.
• Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou:
  VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases. 3634 - 3637.
• Osnat Drien, Matanya Freiman, Yael Amsterdamer:
  ActivePDB: Active Probabilistic Databases. 3638 - 3641.
• Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
  CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. 3642 - 3645.
• Ahmet Kerem Aksoy, Pavel Dushev, Eleni Tzirita Zacharatou, Holmer Hemsen, Marcela Charfuelan, Jorge Arnulfo Quiane Ruiz, Begum Demir, Volker Markl:
  Satellite Image Search in AgoraEO. 3646 - 3649.
• Li Yan, Nerissa Xu, Guozhong Li, Sourav S Bhowmick, Byron Choi, Jianliang Xu:
  SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data. 3650 - 3653.
• Angela Bonifati, Stefania G. Dumbrava, Emile Martinez, Fatemeh Ghasemi, Malo Jaffré, Pacome Luton, Thomas Pickles:
  DiscoPG: Property Graph Schema Discovery and Exploration. 3654 - 3657.
• Wissam Mammar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Benamor:
  SA-Q: Observing, Evaluating, and Enhancing the Quality of the Results of Sentiment Analysis Tools. 3658 - 3661.
• Abdelghny Orogat, Ahmed El-roby:
  SmartBench: Demonstrating Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs. 3662 - 3665.
• Jianhong Tu, Xiaoyue Han, Ju Fan, Nan Tang, Chengliang Chai, Guoliang Li, Xiaoyong Du:
  DADER: Hands-Off Entity Resolution with Domain Adaptation. 3666 - 3669.
• James L Gale, Max Seiden, Deepanshu Utkarsh, Jason Frantz, Rob Woollen, Cagatay Demiralp:
  Sigma Workbook: A Spreadsheet for Cloud Data Warehouses. 3670 - 3673.
• Zihao Chen, Zhizhen Xu, Baokun Han, Chen Xu, Weining Qian, Aoying Zhou:
  ReMac: A Matrix Computation System with Redundancy Elimination. 3674 - 3677.
• Phillip Wenig, Sebastian Schmidl, Thorsten Papenbrock:
  TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms. 3678 - 3681.
• Alberto Lerner, Matthias Jasny, Theo Jepsen, Carsten Binnig, Philippe Cudre-mauroux:
  DBMS Annihilator: A High-Performance Database Workload Generator in Action. 3682 - 3685.
• Zhiyu Liang, Hongzhi Wang:
  FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification. 3686 - 3689.
• Qingshun Wu, Yafei Li, Huiling Li, Di Zhang, Guanglei Zhu:
  AMRAS: A Visual Analysis System for Spatial Crowdsourcing. 3690 - 3693.
• Hani Al-sayeh, Muhammad Attahir Jibril, Muhammad Waleed Bin Saeed, Kai-uwe Sattler:
  SparkCAD: Caching Anomalies Detector for Spark Applications. 3694 - 3697.
• Wilco Van Leeuwen, Thomas Mulder, Bram Van De Wall, George Fletcher, Nikolay Yakovets:
  AvantGraph Query Processing Engine. 3698 - 3701.
• Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey S. Tsay, Aaron J Elmore, Michael Franklin:
  Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. 3702 - 3705.
• Dennis M Hofmann, Peter Vannostrand, Huayi Zhang, Yizhou Yan, Lei Cao, Samuel Madden, Elke A Rundensteiner:
  A Demonstration of AutoOD: A Self-tuning Anomaly Detection System. 3706 - 3709.
• Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka:
  Pipemizer: An Optimizer for Analytics Data Pipelines. 3710 - 3713.
• Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl:
  DORIAN in action: Assisted Design of Data Science Pipelines. 3714 - 3717.
• Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy:
  WebMILE: Democratizing Network Representation Learning at Scale. 3718 - 3721.
• Nadja Geisler, Benjamin Hättasch, Carsten Binnig:
  Demonstrating Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data. 3722 - 3725.
• Drew Ripberger, Yifan Gan, Xueyuan Ren, Spyros Blanas, Yang Wang:
  IsoBugView: Interactively Debugging Isolation Bugs in Database Applications. 3726 - 3729.
• Yannis E Foufoulas, Alkis Simitsis, Yannis Ioannidis:
  YeSQL: Rich User-Defined Functions without the Overhead. 3730 - 3733.
• Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, Chen Li, X. Sean Wang:
  Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models. 3734 - 3737.
• Xiaozhen Liu, Zuozhi Wang, Shengquan Ni, Sadeem Alsudais, Yicong Huang, Avinash Kumar, Chen Li:
  Demonstration of Collaborative and Interactive Workflow-Based Data Analytics in Texera. 3738 - 3741.
• Ramon Antonio Rodriges Zalipynis:
  SimDB in Action: Road Trafic Simulations Completely Inside Array DBMS. 3742 - 3745.
Tutorials
• Gilbert Badaro, Paolo Papotti:
  Transformers for Tabular Data Representation: A Tutorial on Models and Applications. 3746 - 3749.
• Felix Kiehn, Mareike Schmidt, Daniel Glake, Fabian Panse, Wolfram Wingerath, Benjamin Wollmer, Martin Poppinga, Norbert Ritter:
  Polyglot Data Management: State of the Art & Open Challenges. 3750 - 3753.
• Abdul Wasay, Nesime Tatbul, Justin Gottschlich:
  Machine Programming: Turning Data into Programmer Productivity. 3754 - 3757.
• Guoliang Li, Haowen Dong, Chao Zhang:
  Cloud Databases: New Techniques, Challenges, and Opportunities. 3758 - 3761.
• Amine Mhedhbi, Semih Salihoglu:
  Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges. 3762 - 3765.
• Yixiang Fang, Wensheng Luo, Chenhao Ma:
  Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques. 3766 - 3769.
• Immanuel Trummer:
  From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management. 3770 - 3773.
• Kaisong Huang, Yuliang He, Tianzheng Wang:
  The Past, Present and Future of Indexing on Persistent Memory. 3774 - 3777.
• Zoi Kaoudi, Jorge Arnulfo Quiane Ruiz:
  Unified Data Analytics: State-of-the-art and Open Problems. 3778 - 3781.
Keynotes
• Wenfei Fan:
  Big Graphs: Challenges and Opportunities. 3782 - 3797.
• Sihem Amer-yahia:
  Towards AI-Powered Data-Driven Education. 3798 - 3806.
Endowment Awards
• Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
  Heterogeneous Information Networks: the Past, the Present, and the Future. 3807 - 3811.
• Sudeepa Roy:
  Toward Interpretable and Actionable Data Analysis with Explanations and Causality. 3812 - 3820.
• Fatma Özcan:
  Reflections On My Data Management Research Journey (VLDB Women in Database Research Award Talk). 3821 - 3822.
Panel
• C. Mohan:
  Panel: Startups Founded by Database Researchers. 3823 - 3825.
• Magdalena Balazinska, Surajit Chaudhuri, Anhai Doan, Joseph M. Hellerstein, Hanuma Kodavalla, Ippokratis Pandis, Matei Zaharia:
  Cloud Data Systems: What are the Opportunities for the Database Research Community?. 3826 - 3827.