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ORCIDProceedings of the VLDB Endowment, Volume 13
Volume 13, Number 1, September 2019
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Shuchi Chawla, Shaleen Deep, Paraschos Koutris, Yifeng Teng:
Revenue Maximization for Query Pricing. 1-14 - Jieming Shi
, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang:
Realtime Top-k Personalized PageRank over Large Graphs on GPUs. 15-28 - Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Xiaolin Qin:
Fast Large-Scale Trajectory Clustering. 29-42 - Herodotos Herodotou, Elena Kakoulli:
Automating Distributed Tiered Storage Management in Cluster Computing. 43-56 - Jinho Jung, Hong Hu, Joy Arulraj, Taesoo Kim, Woon-Hak Kang:
APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems. 57-70 - Muhsen Owaida, Gustavo Alonso, Laura Fogliarini, Anthony Hock-Koon, Pierre-Etienne Melet:
Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration. 71-85
Volume 13, Number 2, October 2019
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao:
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. 86-99 - Maurice Herlihy, Liuba Shrira, Barbara Liskov:
Cross-chain Deals and Adversarial Commerce. 100-113 - Vasileios Zois, Vassilis J. Tsotras, Walid A. Najjar:
Efficient Main-Memory Top-K Selection For Multicore Architectures. 114-127 - Jan Böttcher, Viktor Leis, Thomas Neumann, Alfons Kemper:
Scalable Garbage Collection for In-Memory MVCC Systems. 128-141 - Bohua Yang, Dong Wen, Lu Qin, Ying Zhang, Xubo Wang, Xuemin Lin:
Fully Dynamic Depth-First Search in Directed Graphs. 142-154 - Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li:
LINC: A Motif Counting Algorithm for Uncertain Graphs. 155-168 - Saba Eskandarian, Matei Zaharia:
ObliDB: Oblivious Query Processing for Secure Databases. 169-183 - Chang Ge, Ihab F. Ilyas, Florian Kerschbaum:
Secure Multi-Party Functional Dependency Discovery. 184-196 - Minmei Wang, Mingxun Zhou, Shouqian Shi, Chen Qian:
Vacuum Filters: More Space-Efficient and Faster Replacement for Bloom and Cuckoo Filters. 197-210 - Yihan Sun, Guy E. Blelloch, Wan Shen Lim, Andrew Pavlo:
On Supporting Efficient Snapshot Isolation for Hybrid Workloads with Multi-Versioned Indexes. 211-225
Volume 13, Number 3, November 2019
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Zhuhe Fang, Beilei Zheng, Chuliang Weng:
Interleaved Multi-Vectorizing. 226-238 - Suraj Shetiya, Abolfazl Asudeh, Sadia Ahmed, Gautam Das:
A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems. 239-251 - Laurel J. Orr, Srikanth Kandula, Surajit Chaudhuri:
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters. 252-265 - Eduardo H. M. Pena, Eduardo C. de Almeida, Felix Naumann:
Discovery of Approximate (and Exact) Denial Constraints. 266-278 - Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Deep Unsupervised Cardinality Estimation. 279-292 - Zeyu Ding, Yuxin Wang, Danfeng Zhang, Dan Kifer:
Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms. 293-306 - Ji Sun, Guoliang Li:
An End-to-End Learning-based Cost Estimator. 307-319 - Yuxiang Zeng, Yongxin Tong, Lei Chen:
Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees. 320-333 - Tiago Rodrigo Kepe, Eduardo C. de Almeida, Marco A. Z. Alves:
Database Processing-in-Memory: An Experimental Study. 334-347 - Jyoti Leeka, Kaushik Rajan:
Incorporating Super-Operators in Big-Data Query Optimizers. 348-361 - Conggai Li, Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
Efficient Progressive Minimum k-core Search. 362-375 - Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan R. K. Ports, Ion Stoica, Xin Jin:
Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection. 376-389 - Brett Walenz, Stavros Sintos, Sudeepa Roy, Jun Yang:
Learning to Sample: Counting with Complex Queries. 390-402 - Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search. 403-420
Volume 13, Number 4, December 2019
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Xinjing Zhou, Lidan Shou, Ke Chen, Wei Hu, Gang Chen:
DPTree: Differential Indexing for Persistent Memory. 421-434 - Jeyhun Karimov, Tilmann Rabl, Volker Markl:
AJoin: Ad-hoc Stream Joins at Scale. 435-448 - Chen Luo, Michael J. Carey:
On Performance Stability in LSM-based Storage Systems. 449-462 - You Peng, Ying Zhang, Xuemin Lin, Wenjie Zhang, Lu Qin, Jingren Zhou:
Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice. 463-476 - Yuhao Zhang, Arun Kumar:
Panorama: A Data System for Unbounded Vocabulary Querying over Video. 477-491 - Kartik Lakhotia, Rajgopal Kannan, Qing Dong, Viktor K. Prasanna:
Planting Trees for scalable and efficient Canonical Hub Labeling. 492-505 - Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
Operationalizing Individual Fairness with Pairwise Fair Representations. 506-518 - Aarati Kakaraparthy, Jignesh M. Patel, Kwanghyun Park, Brian Kroth:
Optimizing Databases by Learning Hidden Parameters of Solid State Drives. 519-532 - Daniel Kang, Peter Bailis, Matei Zaharia:
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics. 533-546 - Dawei Huang, Dong Young Yoon, Seth Pettie, Barzan Mozafari:
Join on Samples: A Theoretical Guide for Practitioners. 547-560 - Georgios Karagiannis, Immanuel Trummer, Saehan Jo, Shubham Khandelwal, Xuezhi Wang, Cong Yu:
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond. 561-573 - Lucas Lersch, Xiangpeng Hao, Ismail Oukid, Tianzheng Wang, Thomas Willhalm:
Evaluating Persistent Memory Range Indexes. 574-587
Volume 13, Number 5, January 2020
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Jonathan Goldstein, Ahmed S. Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Peshawaria, Tal Zaccai, Irene Zhang:
A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications. 588-601 - Dian Ouyang, Long Yuan, Lu Qin, Lijun Chang, Ying Zhang, Xuemin Lin:
Efficient Shortest Path Index Maintenance on Dynamic Road Networks with Theoretical Guarantees. 602-615 - Elias Stehle, Hans-Arno Jacobsen:
ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data. 616-628 - Yihe Huang, William Qian, Eddie Kohler, Barbara Liskov, Liuba Shrira:
Opportunities for Optimism in Contended Main-Memory Multicore Transactions. 629-642 - Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen:
PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search. 643-655 - Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, Bin Cui:
Hunting multiple bumps in graphs. 656-669 - Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick:
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank. 670-683 - Abdulhakim Ali Qahtan, Nan Tang, Mourad Ouzzani, Yang Cao, Michael Stonebraker:
Pattern Functional Dependencies for Data Cleaning. 684-697 - Joyce Jiyoung Whang, Rundong Du, Sangwon Jung, Geon Lee, Barry L. Drake, Qingqing Liu, Seonggoo Kang, Haesun Park:
MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs. 698-711 - Ioannis K. Koumarelas, Thorsten Papenbrock, Felix Naumann:
MDedup: Duplicate Detection with Matching Dependencies. 712-725 - Van-Dang Tran, Hiroyuki Kato, Zhenjiang Hu:
Programmable View Update Strategies on Relations. 726-739 - Avinash Kumar, Zuozhi Wang, Shengquan Ni, Chen Li:
Amber: A Debuggable Dataflow System Based on the Actor Model. 740-753 - Filippo Schiavio, Daniele Bonetta, Walter Binder:
Dynamic Speculative Optimizations for SQL Compilation in Apache Spark. 754-767 - Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, Philippe Cudré-Mauroux:
Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series. 768-782
Volume 13, Number 6, February 2020
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Graphite: A NUMA-aware HPC System for Graph Analytics Based on a new MPI * X Parallelism Model. 783-797 - Nave Frost, Naama Boer, Daniel Deutch, Tova Milo:
Personal Insights for Altering Decisions of Tree-based Ensembles over Time. 798-811 - You Peng, Ying Zhang, Xuemin Lin, Lu Qin, Wenjie Zhang:
Answering Billion-Scale Label-Constrained Reachability Queries within Microsecond. 812-825 - Ruihong Huang, Shaoxu Song, Yunsu Lee, Jungho Park, Soo-Hyung Kim, Sungmin Yi:
Effective and Efficient Retrieval of Structured Entities. 826-839 - Utku Sirin, Anastasia Ailamaki:
Micro-architectural Analysis of OLAP: Limitations and Opportunities. 840-853 - Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao:
Effective and Efficient Community Search over Large Heterogeneous Information Networks. 854-867 - Suyash Gupta, Sajjad Rahnama, Jelle Hellings, Mohammad Sadoghi:
ResilientDB: Global Scale Resilient Blockchain Fabric. 868-883 - Henning Funke, Jens Teubner:
Data-Parallel Query Processing on Non-Uniform Data. 884-897 - Zonghao Feng, Qiong Luo:
Evaluating Memory-Hard Proof-of-Work Algorithms on Three Processors. 898-911 - Seokki Lee, Bertram Ludäscher, Boris Glavic:
Approximate Summaries for Why and Why-not Provenance. 912-924 - Hao Jiang, Chunwei Liu, Qi Jin, John Paparrizos, Aaron J. Elmore:
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage. 925-938 - Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu:
On Detecting Cherry-picked Trendlines. 939-952
Volume 13, Number 7, March 2020
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Masayo Ota, Heiko Mueller, Juliana Freire, Divesh Srivastava:
Data-Driven Domain Discovery for Structured Datasets. 953-965 - Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang:
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. 966-978 - Jiachuan Wang, Peng Cheng, Libin Zheng, Chao Feng, Lei Chen, Xuemin Lin, Zheng Wang:
Demand-Aware Route Planning for Shared Mobility Services. 979-991 - Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig:
DeepDB: Learn from Data, not from Queries! 992-1005 - Yuepeng Wang, Rushi Shah, Abby Criswell, Rong Pan, Isil Dillig:
Data Migration using Datalog Program Synthesis. 1006-1019 - Xiaowei Zhu, Marco Serafini, Xiaosong Ma, Ashraf Aboulnaga, Wenguang Chen, Guanyu Feng:
LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans. 1020-1034 - Xueling Lin, Haoyang Li, Hao Xin, Zijian Li, Lei Chen:
KBPearl: A Knowledge Base Population System Supported by Joint Entity and Relation Linking. 1035-1049 - Tianyi Li, Ruikai Huang, Lu Chen, Christian S. Jensen, Torben Bach Pedersen:
Compression of Uncertain Trajectories in Road Networks. 1050-1063 - Supreeth Shastri, Vinay Banakar, Melissa Wasserman, Arun Kumar, Vijay Chidambaram:
Understanding and Benchmarking the Impact of GDPR on Database Systems. 1064-1077 - Jihang Liu, Shimin Chen, Lujun Wang:
LB+-Trees: Optimizing Persistent Index Performance on 3DXPoint Memory. 1078-1090 - Lucas Lersch, Ivan Schreter, Ismail Oukid, Wolfgang Lehner:
Enabling Low Tail Latency on Multicore Key-Value Stores. 1091-1104 - Chunbin Lin, Etienne Boursier, Yannis Papakonstantinou:
Approximate Analytics System over Compressed Time Series with Tight Deterministic Error Guarantees. 1105-1118 - Prasun Gera, Hyojong Kim, Piyush Sao, Hyesoon Kim, David A. Bader:
Traversing Large Graphs on GPUs with Unified Memory. 1119-1133 - Haoyue Ping, Julia Stoyanovich, Benny Kimelfeld:
Supporting Hard Queries over Probabilistic Preferences. 1134-1146
Volume 13, Number 8, April 2020
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo:
Dash: Scalable Hashing on Persistent Memory. 1147-1161 - Paolo Ferragina, Giorgio Vinciguerra:
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds. 1162-1175 - Minghua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, Feifei Li, Changcheng Chen, Dan Pei:
Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases. 1176-1189 - Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. 1190-1205 - Markus Dreseler, Martin Boissier, Tilmann Rabl, Matthias Uflacker:
Quantifying TPC-H Choke Points and Their Optimizations. 1206-1220 - Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li:
Efficient Algorithms for Crowd-Aided Categorization. 1221-1233 - Shaowei Wang, Yuqiu Qian, Jiachun Du, Wei Yang, Liusheng Huang, Hongli Xu:
Set-valued Data Publication with Local Privacy: Tight Error Bounds and Efficient Mechanisms. 1234-1247 - Leonidas Fegaras, Md Hasanuzzaman Noor:
Translation of Array-Based Loops to Distributed Data-Parallel Programs. 1248-1260 - Wenfei Fan, Muyang Liu, Chao Tian, Ruiqi Xu, Jingren Zhou:
Incrementalization of Graph Partitioning Algorithms. 1261-1274 - Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai, Wang-Chien Lee, Philip S. Yu, De-Nian Yang:
Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping. 1275-1289 - Savvas Savvides, Darshika Khandelwal, Patrick Eugster:
Efficient Confidentiality-Preserving Data Analytics over Symmetrically Encrypted Datasets. 1290-1303 - Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali:
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. 1304-1318
Volume 13, Number 9, May 2020
- Magdalena Balazinska, Xiaofang Zhou:
Front Matter. i-vi - Victor Zakhary, Divy Agrawal, Amr El Abbadi:
Atomic Commitment Across Blockchains. 1319-1331 - Ajit Mathew, Changwoo Min:
HydraList: A Scalable In-Memory Index Using Asynchronous Updates and Partial Replication. 1332-1345 - Judah Schvimer, A. Jesse Jiryu Davis, Max Hirschhorn:
eXtreme Modelling in Practice. 1346-1358 - Bingqing Lyu, Lu Qin, Xuemin Lin, Ying Zhang, Zhengping Qian, Jingren Zhou:
Maximum Biclique Search at Billion Scale. 1359-1372 - Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger:
ARDA: Automatic Relational Data Augmentation for Machine Learning. 1373-1387 - Wail Y. Alkowaileet, Sattam Alsubaiee, Michael J. Carey:
An LSM-based Tuple Compaction Framework for Apache AsterixDB. 1388-1400 - Roee Shraga, Avigdor Gal, Haggai Roitman:
ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation. 1401-1415 - Xuanhe Zhou, Ji Sun, Guoliang Li, Jianhua Feng:
Query Performance Prediction for Concurrent Queries using Graph Embedding. 1416-1428 - Ahmed Alquraan, Alex Kogan, Virendra J. Marathe, Samer Al-Kiswany:
Scalable, NearZero Loss Disaster Recovery for Distributed Data Stores. 1429-1442 - Kejing Lu, Hongya Wang, Wei Wang, Mineichi Kudo:
VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning. 1443-1455 - Hyunjoon Kim, Seunghwan Min, Kunsoo Park, Xuemin Lin, Seok-Hee Hong, Wook-Shin Han:
IDAR: Fast Supergraph Search Using DAG Integration. 1456-1468 - Mariia Seleznova, Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Eric Simon:
Guided Exploration of User Groups. 1469-1482 - Long Gong, Huayi Wang, Mitsunori Ogihara, Jun Xu:
iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search. 1483-1497 - Song Bian, Qintian Guo, Sibo Wang, Jeffrey Xu Yu:
Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks. 1498-1510 - Arneish Prateek, Arijit Khan