Conference Program: SIGMOD Sessions
This page describes the complete SIGMOD Conference program. Please use the following links to skip to the sessions of interest:
- Keynote Talks and Panel
- Research Sessions
- Industry Sessions
- Tutorials
- Demonstrations
- Sponsor Event Trending Now
- New Researcher Symposium
- Career in Industry
- Poster Sessions
KEYNOTE TALKS AND PANEL
Keynote Talks
Keynote 1: How I Learned to Stop Worrying and Love Compilers
Eric Sedlar, Oracle Research
Tuesday 8:20-10:00
Location: Ballroom
Hashtag: #sigmod14 #keynote1
Session Chair: M. Tamer Özsu, University of Waterloo
Keynote 2: Fun with Hardware Transactional Memory
Maurice Herlihy, Brown University
Wednesday 8:30-10:00
Location: Ballroom
Hashtag: #sigmod14 #keynote2
Session Chair: Gustavo Alonso, ETH Zürich
Panel
Should we all be teaching “Intro to Data Science” instead of “Intro to Databases”
Wednesday 17:10-18:50
Location: Ballroom 2
Hashtag: #sigmod14 #panel1
Presenters:
Bill Howe, University of Washington; Michael Franklin, University of
California, Berkeley; Juliana Freire, New York University; James Frew,
University of California, Santa Barbara; Tim Kraska, Brown University;
Raghu Ramakrishnan, Microsoft Corporation
Are We Experiencing a Big Data Bubble?
Thursday 13:30-15:10
Location: Ballroom 2
Hashtag: #sigmod14 #panel2
Presenters:
Fatma Özcan, IBM Almaden Research Center;
Nesime Tatbul, Intel Labs and MIT;
Daniel J. Abadi, Yale University;
Marcel Kornacker, Cloudera;
C Mohan, IBM Almaden Research Center;
Karthik Ramasamy, Twitter, Inc.;
Janet Wiener, Facebook, Inc.
SIGMOD RESEARCH SESSIONS
Research 1: Transaction Processing
Tuesday 10:30-12:10
Location: Superior
Hashtag: #sigmod14 #R1Px
Session Chair: Andy Pavlo, Carnegie Mellon University
- PLANET: Making Progress with Commit Processing in
Unpredictable Environments
Gene Pang, University of California Berkeley; Tim Kraska, Brown University; Michael J. Franklin, University of California Berkeley; Alan Fekete, University of Sydney - Lazy Evaluation of Transactions in Database Systems
Jose Faleiro, Yale University; Alexander Thomson, Google, Inc.; Daniel Abadi, Yale University - Scalable Atomic Visibility with RAMP Transactions
Peter Bailis, University of California Berkeley; Alan Fekete, University of Sydney; Joseph M. Hellerstein, University of California Berkeley; Ali Ghodsi, University of California Berkeley; Ion Stoica, University of California Berkeley - JECB: a Join-Extension, Code-Based Approach to OLTP Data
Partitioning
Khai Tran, Oracle Labs; Jeffrey Naughton, University of Wisconsin-Madison; Bruhathi Sundarmurthy, University of Wisconsin-Madison; Dimitris Tsirogiannis, Cloudera
Research 2: : Social Networks I
Tuesday 10:30-12:10
Location: Ballroom 1
Hashtag: #sigmod14 #R2Px
Session Chair: : Laks Lakshmanan, University of British Columbia
- HYDRA: Large-scale Social Identity Linkage via
Heterogeneous Behavior Modeling
Siyuan Liu, Carnegie Mellon University; Shuhui Wang, Chinese Academy of Sciences; Feida Zhu, Singapore Management University; Jinbo Zhang, Peking University; Ramayya Krishnan, Carnegie Mellon University - In Search of Influential Event Organizers in
Online Social Networks
Kaiyu Feng, Nanyang Technological University; Gao Cong, Nanyang Technological University; Sourav Bhowmick, Nanyang Technological University; Shuai Ma, Beihang University - Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency
Youze Tang, Nanyang Technological University; Xiaokui Xiao, Nanyang Technological University; Yanchen Shi, Nanyang Technological University - Efficient Location-Aware Influence Maximization
Guoliang Li, Tsinghua University; Shuo Chen, Tsinghua University; Jianhua Feng, Tsinghua University; Kian-lee Tan, NUS; Wen-syan Li, SAP
Research 3: Spatial Data
Tuesday 10:30-12:10
Location: Ballroom 2
Hashtag: #sigmod14 #R3Px
Session Chair: Lei Chen, Hong Kong University of Science and Technology
- Density-based Place Clustering in Geo-Social Networks
Jieming Shi, The University of Hong Kong; Nikos Mamoulis, The University of Hong Kong; Dingming Wu, The University of Hong Kong; David Wai Lok Cheung, The University of Hong Kong - Hypersphere Dominance: An Optimal Approach
Cheng Long, The Hong Kong University of Science and Technology; Raymond Chi-Wing Wong, The Hong Kong University of Science and Technology; Bin Zhang, The Hong Kong University of Science and Technology; Min Xie, The Hong Kong University of Science and Technology - Efficient Algorithms for Optimal Location Queries in
Road Networks
Zitong Chen, Sun Yat-Sen University; Yubao Liu, Sun Yat-Sen University; Raymond Chi-Wing Wong, the Hong Kong University of Science and Technology; Jiamin Xiong, Sun Yat-Sen University; Ganglin Mai, Sun Yat-Sen University; Cheng Long, the Hong Kong University of Science and Technology - Robust Set Reconciliation
Di Chen, the Hong Kong University of Science and Technology; Christian Konrad, Reykjavik University; Ke Yi, the Hong Kong University of Science and Technology; Wei Yu, Aarhus University; Qin Zhang, Indiana University Bloomington
Research 4: Streams and Complex Event Processing
Tuesday 13:30-15:10
Location: Superior
Hashtag: #sigmod14 #R4Px
Session Chair: Badrish Chandramouli, Microsoft
- AutoPlait: Automatic Mining of Co-evolving Time Sequences
Yasuko Matsubara, Kumamoto University; Yasushi Sakurai, Kumamoto University; Christos Faloutsos, Carnegie Mellon University - Resource-oriented Approximation for Frequent Itemset Mining from Bursty Data Streams
Yoshitaka Yamamoto, University of Yamanashi; Koji Iwanuma, University of Yamanashi; Shoshi Fukuda, University of Yamanashi - On Complexity and Optimization of Expensive Queries in Complex Event Processing
Haopeng Zhang, UMass Amherst; Yanlei Diao, UMass Amherst; Neil Immerman, UMass Amherst - Complex Event Analytics: Online Aggregation of Stream Sequence Patterns
Yingmei Qi, Google Inc; Lei Cao, Worcester Polytechnic Institute; Medhabi Ray, Worcester Polytechnic Institute; Elke A. Rundensteiner, Worcester Polytechnic Institute
Research 5: Data Analytics
Tuesday 13:30-15:10
Location: Ballroom 1
Hashtag: #sigmod14 #R5Px
Session Chair: Gottfried Vossen, University of Münster
- Towards Indexing Functions: Answering Scalar Product
Queries
Arijit Khan, ETH Zürich; Pouya Yanki, ETH Zürich; Bojana Dimcheva, ETH Zürich; Donald Kossmann, ETH Zürich - LINVIEW: Incremental View Maintenance for Complex Analytical Queries
Milos Nikolic, EPFL; Mohammed ElSeidy, EPFL; Christoph Koch, EPFL - Materialization Optimizations for Feature Selection Workloads
Ce Zhang, University of Wisconsin-Madison; Arun Kumar, University of Wisconsin-Madison; Christopher Ré, Stanford University - The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing
Kai Zeng, University of California, Los Angeles; Shi Gao, University of California, Los Angeles; Barzan Mozafari, University of Michigan; Carlo Zaniolo, University of California, Los Angeles
Research 6: Graph and RDF Data Processing
Tuesday 13:30-15:10
Location: Ballroom 2
Hashtag: #sigmod14 #R6Px
Session Chair: Ioana Manolescu, Inria Saclay
- TriAD: A Distributed Shared-Nothing RDF Engine based on Asynchronous Message Passing
Sairam Gurajada, Max Planck Institute for Informatics; Stephan Seufert, Max Planck Institute for Informatics; Iris Miliaraki, Max Planck Institute for Informatics; Martin Theobald, Max Planck Institute for Informatics - Querying Big Graphs within Bounded Resources
Wenfei Fan, University of Edinburgh; Xin Wang, Southwest Jiaotong University; Yinghui Wu, University of California Santa Barbara - Natural Language Question Answering over RDF - A Graph Data Driven Approach
Lei Zou, Peking University; Ruizhe Huang, Peking University; Haixun Wang, Microsoft Research Asia; Jeffrey Xu Yu, The Chinese University of Hong Kong; Wenqiang He, Peking University; Dongyan Zhao, Peking University - Scalable Similarity Search for SimRank
Mitsuru Kusumoto, Preferred Infrastructure, Inc.; Takanori Maehara, National Institute of Informatics; Ken-ichi Kawarabayashi, National Institute of Informatics
Research 7: Multidimensional Data
Tuesday 15:40-17:20
Location: Superior
Hashtag: #sigmod14 #R7Px
Session Chair: David Maier, Portland State University
- Parallel Data Analysis Directly on Scientific File Formats
Spyros Blanas, The Ohio State University; John Wu, Lawrence Berkeley National Laboratory; Suren Byna, Lawrence Berkeley National Laboratory; Bin Dong, Lawrence Berkeley National Laboratory; Arie Shoshani, Lawrence Berkeley National Laboratory - The PH-Tree -- A Space-Efficient Storage Structure And Multi-Dimensional Index
Tilmann Zaschke, ETH Zürich; Christoph Zimmerli, ETH Zürich; Moira C. Norrie, ETH Zürich - Incremental Elasticity for Array Databases
Jennie Duggan, MIT; Michael Stonebraker, MIT - Efficient Summarization Framework for Multi-Attribute Uncertain Data
Jie Xu, University of California- Irvine; Dmitri V. Kalashnikov, University of California- Irvine; Sharad Mehrotra, University of California- Irvine
Research 8: Data Cleaning
Tuesday 15:40-17:20
Location: Ballroom 1
Hashtag: #sigmod14 #R8Px
Session Chair: Bogdan Cautis, Universite Paris Sud
- Fusing Data with Correlations
Ravali Pochampally, University of Massachusetts; Anish Das Sarma, Troo.Ly Inc.; Xin Luna Dong, Google Inc.; Alexandra Meliou, University of Massachusetts; Divesh Srivastava, AT&T Labs-Research - Descriptive and Prescriptive Data Cleaning
Anup Chalamalla, University of Waterloo; Ihab Ilyas, University of Waterloo; Mourad Ouzzani, Qatar Computing Research Institute; Paolo Papotti, Qatar Computing Research Institute - Towards Dependable Data Repairing with Fixing Rules
Jiannan Wang, University of California Berkeley; Nan Tang, Qatar Computing Research Institute (QCRI) - A Sample-and-Clean Framework for Fast and Accurate
Query Processing on Dirty Data
Jiannan Wang, University of California Berkeley; Sanjay Krishnan, University of California Berkeley; Michael Franklin, University of California Berkeley; Ken Goldberg, University of California Berkeley; Tim Kraska, Brown University; Tova Milo, Tel Aviv University
Research 9: Data Exploration
Tuesday 15:40-17:20
Location: Ballroom 2
Hashtag: #sigmod14 #R9Px
Session Chair: Dennis Shasha, New York University
- Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems
Sameer Agarwal, University of California, Berkeley; Henry Milner, University of California, Berkeley; Ariel Kleiner, University of California, Berkeley; Ameet Talwalkar, University of California, Berkeley; Michael Jordan, University of California, Berkeley; Samuel Madden, Massachusetts Institute of Technology; Barzan Mozafari, University of Michigan, Ann Arbor; Ion Stoica, University of California, Berkeley - Discovering Queries based on Example Tuples
Yanyan Shen, National University of Singapore; Kaushik Chakrabarti, Microsoft Research; Surajit Chaudhuri, Microsoft Research; Bolin Ding, Microsoft Research; Lev Novik, Microsoft - Interactive Data Exploration Using Semantic Windows
Alexander Kalinin, Brown University; Ugur Cetintemel, Brown University; Stan Zdonik, Brown University - Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration
Kyriaki Dimitriadou, Brandeis University; Olga Papaemmanouil, Brandeis University; Yanlei Diao, University of Massachusetts, Amherst
Research 10: Crowdsourcing
Wednesday 10:30-12:10
Location: Ballroom 1
Hashtag: #sigmod14 #R10Px
Session Chair: Timos Sellis, RMIT University
- CrowdFill: Collecting Structured Data from the Crowd
Hyunjung Park, Stanford University; Jennifer Widom, Stanford University - OASSIS: Query Driven Crowd Mining
Yael Amsterdamer, Tel Aviv University; Susan Davidson, University of Pennsylvania; Tova Milo, Tel Aviv University; Slava Novgorodov, Tel Aviv University; Amit Somech, Tel Aviv University - Corleone: Hands-Off Crowdsourcing for Entity Matching
Chaitanya Gokhale, University of Wisconsin-Madison; Sanjib Das, University of Wisconsin-Madison; AnHai Doan, University of Wisconsin-Madison & @WalmartLabs; Jeffrey F. Naughton, University of Wisconsin-Madison; Narasimhan Rampalli, @WalmartLabs; Jude Shavlik, University of Wisconsin-Madison; Xiaojin Zhu, University of Wisconsin-Madison
Research 11: Parallel Graph Processing
Wednesday 10:30-12:10
Location: Ballroom 2
Hashtag: #sigmod14 #R11Px
Session Chair: Xin Luna Dong, Google
- Efficient Cohesive Subgraphs Detection in Parallel
Yingxia Shao, Key Lab of High Confidence Software Technologies (MOE), School of EECS, Peking University; Lei Chen, Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Bin Cui, Peking University - Parallel Subgraph Listing in a Large-Scale Graph
Yingxia Shao, Peking University; Bin Cui, Peking University; Lei Chen, Hong Kong University of Science and Technology; Lin Ma, Peking University; Junjie Yao, Peking University; Ning Xu, Peking University - OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs
Jinha Kim, Pohang University of Science and Technology; Wook-Shin Han, Pohang University of Science and Technology; Sangyeon Lee, Pohang University of Science and Technology; Kyungyeol Park, Pohang University of Science and Technology; Hwanjo Yu, Pohang University of Science and Technology
Research 12: Potpouri
Wednesday 10:30-12:10
Location: Ballroom 3
Hashtag: #sigmod14 #R12Px
Session Chair: Feifei Li, University of Utah
- Knowledge Expansion over Probabilistic Knowledge Bases
Yang Chen, University of Florida; Daisy Zhe Wang, University of Florida - InsightNotes: Summary-Based Annotation Management in Relational Databases
Dongqing Xiao, Worcester Polytechnic Institute; Mohamed Eltabakh, Worcester Polytechnic Institute - A Pivotal Prefix Based Filtering Algorithm for String Similarity Search
Dong Deng, Tsinghua University; Guoliang Li, Tsinghua University; Jianhua Feng, Tsinghua University
Research 13: Data Management over Modern Hardware
Wednesday 15:00-16:40
Location: Ballroom 1
Hashtag: #sigmod14 #R13Px
Session Chair: Ryan Johnson, University of Toronto
- Patience is a Virtue: Revisiting Merge and Sort on Modern Processors
Badrish Chandramouli, Microsoft Research; Jonathan Goldstein, Microsoft Research - Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age
Viktor Leis, Technische Universität München; Peter Boncz, CWI; Alfons Kemper, Technische Universität München; Thomas Neumann, Technische Universität München - A Comprehensive Study of Main-Memory Partitioning and its Application to Large-Scale Comparison- and Radix-Sort
Orestis Polychroniou, Columbia University; Kenneth Ross, Columbia University - An Application-Specific Instruction Set for Accelerating Set-Oriented Database Primitives
Oliver Arnold, Technische Universitat Dresden; Sebastian Haas, Technische Universitat Dresden; Gerhard Fettweis, Technische Universitat Dresden; Benjamin Schlegel, Technische Universitat Dresden; Thomas Kissinger, Technische Universitat Dresden; Wolfgang Lehner, Technische Universitat Dresden
Research 14: Non-traditional data
Wednesday 15:00-16:40
Location: Ballroom 2
Hashtag: #sigmod14 #R14Px
Session Chair: Florin Rusu, University of California, Merced
- Which Concepts Are Worth Extracting?
Arash Termehchy, Oregon State University; Ali Vakilian, Massachusetts Institute of Technology; Yodsawalai Chodpathumwan, University of Illinois at Urbana-Champaign; Marianne Winslett, University of Illinois at Urbana-Champaign - Querying Virtual Hierarchies using Virtual Prefix-Based Numbers
Curtis Dyreson, Utah State University; Sourav Bhowmick, Nanyang Technological University; Ryan Grapp, Utah State University - NLyze: Interactive Programming by Natural Language for SpreadSheet Data Analysis and Manipulation
Sumit Gulwani, Microsoft Research; Mark Marron, Microsoft Research - Sinew: a SQL System for Multi-structured Data
Daniel Tahara, Yale University; Thaddeus Diamond, Hadapt; Daniel Abadi, Yale University
Research 15: MapReduce Processing
Wednesday 15:00-16:40
Location: Ballroom 3
Hashtag: #sigmod14 #R15Px
Session Chair: Konstantinos Karanasos, IBM Almaden Research Center
- Scalable Big Graph Processing in MapReduce
Lu Qin, University of Technology, Sydney; Jeffrey Xu Yu, The Chinese University of Hong Kong; Lijun Chang, The University of New South Wales; Hong Cheng, The Chinese University of Hong Kong; Chengqi Zhang, University of Technology, Sydney; Xuemin Lin, The University of New South Wales - Anti-Combining For MapReduce
Alper Okcan, Northeastern University; Mirek Riedewald, Northeastern University - Opportunistic Physical Design for Big Data Analytics
Jeff LeFevre, University of California Santa Cruz; Jagan Sankaranarayanan, NEC Labs America; Hakan Hacigumus, NEC Labs America; Junichi Tatemura, NEC Labs America; Neoklis Polyzotis, University of California, Santa Cruz; Michael Carey, University of California, Irvine - Stratified-Sampling over Social Networks Using MapReduce
Roy Levin, IBM Haifa Research Lab; Yaron Kanza, Jacobs Technion-Cornell Innovation Institute, Cornell Tech
Research 16: Distributed and Parallel Data Management
Wednesday 17:10-18:50
Location:Superior
Hashtag: #sigmod14 #R16Px
Session Chair: Alfons Kemper, Technical University of Munich
- Characterizing and Selecting Fresh Data Sources
Theodoros Rekatsinas, University of Maryland; Xin Luna Dong, Google, Inc.; Divesh Srivastava, AT&T Labs - Research - Sloth: Being Lazy is a Virtue (When Issuing Database Queries)
Alvin Cheung, MIT CSAIL; Samuel Madden, MIT CSAIL; Armando Solar-Lezama, MIT CSAIL - Dynamically Optimizing Queries over Large Scale Data
Platforms
Konstantinos Karanasos, IBM Almaden Research Center; Andrey Balmin, GraphSQL; Marcel Kutsch, Apple Inc.; Fatma Özcan, IBM Almaden Research Center; Vuk Ercegovac, Google, Inc.; Chunyang Xia, IBM; Jesse Jackson, IBM - A Software-Defined Networking based Approach for Performance Management of Analytical Queries on Distributed Data Stores
Pengcheng Xiong, NEC Laboratories America; Hakan Hacigumus, NEC Laboratories America; Jeffrey F. Naughton, University of Wisconsin
Research 17: Graph Analytics
Wednesday 17:10-18:50
Location: Ballroom 1
Hashtag: #sigmod14 #R17Px
Session Chair: Wook-Shin Han, Pohang University of Science and Technology
- The Pursuit of a Good Possible World: Extracting Representative Instances of Uncertain Graphs
Panos Parchas, Hong Kong University of Science and Technology; Francesco Gullo, Yahoo Labs; Dimitris Papadias, Hong Kong University of Science and Technology; Francesco Bonchi, Yahoo Labs - Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets
Nadathur Satish, Intel; Narayanan Sundaram, Intel; Mostofa Patwary, Intel; Jiwon Seo, Stanford University; Jongsoo Park, Intel; Muhammad Hassaan, University of Texas, Austin; Shubho Sengupta, Intel; Zhaoming Yin, Georgia Tech; Pradeep Dubey, Intel - Local Search of Communities in Large Graphs
Wanyun Cui, Fudan University; Yanghua Xiao, Fudan University; Haixun Wang, Google Research; Wei Wang, Fudan University - Mining Statistically Significant Connected Subgraphs in Vertex Labeled Graphs
Akhil Arora, Indian Institute of Technology, Kanpur; Mayank Sachan, Indian Institute of Technology, Kanpur; Arnab Bhattacharya, Indian Institute of Technology, Kanpur
Research 18: Query Processing and Optimization I
Wednesday 17:10-18:50
Location: Maybird
Hashtag: #sigmod14 #R18Px
Session Chair: Tim Kraska, Brown University
- Complete Yet Practical Search for Minimal Query Reformulations Under Constraints
Ioana Ileana, Institut Mines-Telecom; Telecom ParisTech; CNRS LTCI; Bogdan Cautis, University of Paris-Sud & Inria Saclay; Alin Deutsch, University of California San Diego; Yannis Katsis, University of California San Diego - Query Shredding: Efficient Relational Evaluation of Nested Queries
Sam Lindley, University of Edinburgh; James Cheney, University of Edinburgh; Philip Wadler, University of Edinburgh - Plan Bouquets: Query Processing without Selectivity Estimation
Anshuman Dutt, Indian Institute of Science; Jayant R. Haritsa, Indian Institute of Science - Schema-free SQL
Fei Li, University of Michigan; Tianyin Pan, University of Michigan; H. V. Jagadish, University of Michigan
Research 19: Storage and Indexing
Thursday 10:30-12:10
Location: Superior
Hashtag: #sigmod14 #R19Px
Session Chair: Carsten Binnig, Cooperative State University Baden-Wuerttemberg, Mannheim
- H2O: A Hands-free Adaptive Store
Ioannis Alagiannis, EPFL; Stratos Idreos, Harvard University; Anastasia Ailamaki, EPFL - Fine-grained Blocking for Aggressive Data Skipping
Liwen Sun, University of California Berkeley; Michael Franklin, University of California Berkeley; Sanjay Krishnan, University of California Berkeley; Reynold Xin, University of California Berkeley - DSH: Data Sensitive Hashing for High-Dimensional k-NN Search
Jinyang Gao, National University of Singapore; H. V. Jagadish, University of Michigan; Wei Lu, National University of Singapore; Beng Chin Ooi, National University of Singapore
Research 20: Top-k Query Processing
Thursday 10:30-12:10
Location: Ballroom 1
Hashtag: #sigmod14 #R20Px
Session Chair: Jiaheng Lu, Renmin University of China
- Fast and Unified Local Search for Random Walk Based K-Nearest-Neighbor Query in Large Graphs
Yubao Wu, Case Western Reserve University; Ruoming Jin, Kent State University; Xiang Zhang, Case Western Reserve University - Global Immutable Region Computation
Jilian Zhang, Singapore Management University; Kyriakos Mouratidis, Singapore Management University; HweeHwa Pang, Singapore Management University - Answering top-k representative queries on graph databases
Sayan Ranu, IIT Madras; Minh Hoang, University of California, Santa Barbara; Ambuj Singh, University of California, Santa Barbara
Research 21: Entity Matching
Thursday 10:30-12:10
Location: Ballroom 2
Hashtag: #sigmod14 #R21Px
Session Chair: Ihab F. Ilyas, University of Waterloo
- Modeling Entity Evolution for Temporal Record Matching
Yueh-Hsuan Chiang, University of Wisconsin Madison; AnHai Doan, University of Wisconsin Madison; Jeffrey F. Naughton, University of Wisconsin Madison - Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation
Qi Li, SUNY Buffalo; Yaliang Li, SUNY Buffalo; Jing Gao, SUNY Buffalo; Bo Zhao, Microsoft Research; Wei Fan, Huawei Noah’s Ark Lab; Jiawei Han, University of Illinois at Urbana-Champaign - A Probabilistic Model for Linking Named Entities in Web Text with Heterogeneous Information Networks
Wei Shen, Tsinghua University; Jiawei Han, University of Illinois at Urbana-Champaign; Jianyong Wang, Tsinghua University - Matching Heterogeneous Event Data
Xiaochen Zhu, Tsinghua University; Shaoxu Song, Tsinghua University; Xiang Lian, University of Texas - Pan American; Jianmin Wang, Tsinghua University; Lei Zou, Peking University
Research 22: Query Processing and Optimization II
Thursday 13:30-15:10
Location: Superior
Hashtag: #sigmod14 #R22Px
Session Chair: Nikolaus Augsten, University of Salzburg
- Towards Unified Ad-Hoc Data Processing
Xiaogang Shi, Peking University; Bin Cui, Peking University; Gillian Dobbie, University of Auckland; Beng Chin Ooi, National University of Singapore - Partial Results in Database Systems
Willis Lang, Microsoft Gray Systems Lab; Rimma Nehme, Microsoft Gray Systems Lab; Eric Robinson, Microsoft Gray Systems Lab; Jeffrey Naughton, University of Wisconsin-Madison - Parallel In-Situ Data Processing with Speculative Loading
Yu Cheng, University of California, Merced; Florin Rusu, University of California, Merced - Approximation Schemes for Many-Objective Query
Optimization
Immanuel Trummer, EPFL; Christoph Koch, EPFL
Research 23: Processing Dynamic Graphs
Thursday 13:30-15:10
Location: Ballroom 1
Hashtag: #sigmod14 #R23Px
Session Chair: Ambuj Singh, University of California Santa Barbara
- Querying K-Truss Community in Large and Dynamic Graphs
Xin Huang, The Chinese University of Hong Kong; Hong Cheng, The Chinese University of Hong Kong; Lu Qin, University of Technology Sydney; Wentao Tian, The Chinese University of Hong Kong; Jeffrey Xu Yu, The Chinese University of Hong Kong - Reachability Queries on Large Dynamic Graphs: A Total Order Approach
Andy Diwen Zhu, Nanyang Technological University; Wenqing Lin, Nanyang Technological University; Sibo Wang, Nanyang Technological University; Xiaokui Xiao, Nanyang Technological University - EAGr: Supporting Continuous Ego-centric Aggregation Queries on Large Dynamic Graphs
Jayanta Mondal, University of Maryland; Amol Deshpande, University of Maryland - Localizing Anomalous Changes in Time-evolving Graphs
Sricharan Kumar, Palo Alto Research Center; Kamalika Das, UARC, NASA Ames Research Center
Research 24: Cloud Computing
Thursday 13:30-15:10
Location: Ballroom 3
Hashtag: #sigmod14 #R24Px
Session Chair: Sudipta Das, Microsoft Research
- Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market
Ziyang Liu, NEC Laboratories America; Hakan Hacigumus, NEC Laboratories America - A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms
Zhuhua Cai, Rice University; Zekai J. Gao, Rice University; Shangyu Luo, Rice University; Luis L. Perez, Rice University; Zografoula Vagena, LogicBlox, Inc.; Christopher Jermaine, Rice University - Re-evaluating Designs for Multi-Tenant OLTP Workloads on SSD-based I/O Subsystems
Ning Zhang, Rocket Fuel Inc.; Junichi Tatemura, NEC Laboratories America; Jignesh Patel, Unversitoy of Wisconsin - Madison; Hakan Hacigumus, NEC Laboratories America - Secure Query Processing with Data Interoperability in a Cloud Database Environment
Wai Kit Wong, Hang Seng Management College; Ben Kao, University of Hong Kong; David Wai Lok Cheung, University of Hong Kong; Rongbin Li, University of Hong Kong; Siu Ming Yiu, University of Hong Kong
Research 25: Security and Privacy
Thursday 15:40-17:20
Location: Superior
Hashtag: #sigmod14 #R25Px
Session Chair: Divesh Srivastava, AT&T Labs - Research
- Explainable Security for Relational Databases
Gabriel Bender, Cornell University; Lucja Kot, Cornell University; Johannes Gehrke, Cornell University - PrivBayes: Private Data Release via Bayesian Networks
Jun Zhang, Nanyang Technological University; Graham Cormode, University of Warwick; Cecilia M. Procopiuc, AT&T Labs - Research; Divesh Srivastava, AT&T Labs - Research; Xiaokui Xiao, Nanyang Technological University - PriView: Practical Differentially Private Release of Marginal Contingency Tables
Wahbeh Qardaji, Purdue University; Weining Yang, Purdue University; Ninghui Li, Purdue University - Blowfish Privacy: Tuning Privacy-Utility Trade-offs
using Policies
Xi He, Duke University; Ashwin Machanavajjhala, Duke University; Bolin Ding, Microsoft Research
Research 26: Join Processing
Thursday 15:40-17:20
Location: Ballroom 1
Hashtag: #sigmod14 #R26Px
Session Chair: Curtis Dyerson, Utah State University
- Overlap Interval Partition Join
Anton Dignös, University of Zürich; Michael Böhlen, University of Zürich; Johann Gamper, Free University of Bozen-Bolzano - Similarity Joins for Uncertain Strings
Manish Patil, Louisiana State University; Rahul Shah, Louisiana State University - Track Join: Distributed Joins with Minimal Network Traffic
Orestis Polychroniou, Columbia University; Rajkumar Sen, Oracle Corporation; Kenneth Ross, Columbia University - On-the-Fly Token Similarity Joins in Relational Databases
Nikolaus Augsten, University of Salzburg; Armando Miraglia, VU University Amsterdam; Thomas Neumann, Technische Universität München; Alfons Kemper, Technische Universität München
Research 27: Social Networks II
Thursday 15:40-17:20
Location: Ballroom 2
Hashtag: #sigmod14 #R27Px
Session Chair: H. V. Jagadish, University of Michigan
- Tracking Set Correlations at Large Scale
Foteini Alvanaki, Saarland University; Sebastian Michel, Saarland University - Aggregate Estimation Over a Microblog Platform
Saravanan Thirumuruganathan, University of Texas at Arlington; Nan Zhang, George Washington University; Vagelis Hristidis, University of California, Riverside; Gautam Das, University of Texas at Arlington - Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media
Linhong Zhu, University of Southern California; Aram Galstyan, University of Southern California; James Cheng, The Chinese University of Hong Kong; Kristina Lerman, University of Southern California - A Temporal Context-Aware Model for User Behavior
Modeling in Social Media Systems
Hongzhi Yin, Peking University; Bin Cui, Peking University; Ling Chen, University of Technology, Sydney; Zhiting Hu, Peking University; Zi Huang, University of Queensland
Research 28: Big Data
Thursday 15:40-17:20
Location: Ballroom 3
Hashtag: #sigmod14 #R28Px
Session Chair: K. Selçuk Candan, Arizona State University
- Indexing for Interactive Exploration of Big Data Series
Kostas Zoumpatianos, University of Trento; Stratos Idreos, Harvard University; Themis Palpanas, Paris Descartes University - Histograms as a Side Effect of Data Movement for Big Data
Zsolt Istvan, ETH Zürich; Louis Woods, ETH Zürich; Gustavo Alonso, ETH Zürich - A Formal Approach to Finding Explanations for Database Queries
Sudeepa Roy, University of Washington; Dan Suciu, University of Washington - MISO: Souping up Big Data Query Processing with a Multistore System
Jeff LeFevre, University of California, Santa Cruz; Jagan Sankaranarayanan, NEC Labs; Hakan Hacigumus, NEC Labs; Junichi Tatemura, NEC Labs; Neoklis Polyzotis, University of California, Santa Cruz; Michael J. Carey, University of California, Irvine
SIGMOD TUTORIAL SESSIONS
- Tutorial 1: How to
Stop Under-Utilization and Love Multicores
Tuesday 10:30-12:10, Tuesday 13:30-15:10
Location: Magpie
Hashtag: #sigmod14 #tutorial1
Presenters: Anastasia Ailamaki, EPFL; Erietta Liarou, EPFL; Pinar Tozun, EPFL; Danica Porobic, EPFL; Iraklis Psaroudakis, EPFL, SAP AG
- Tutorial 2: Cloud-based RDF Data Management
Wednesday 10:30-12:10, Wednesday 15:00-16:40
Location: Superior
Hashtag: #sigmod14 #tutorial2
Presenters: Zoi Kaoudi, IMIS, Athena Research Center; Ioana Manolescu, INRIA
- Tutorial 3:
Querying Encrypted Data
Thursday 10:30-12:10
Location: Maybird
Hashtag: #sigmod14 #tutorial3
Presenters: Arvind Arasu, Microsoft Research; Ken Eguro, Microsoft Research; Raghav Kaushik, Microsoft Research; Ravi Ramamurthy, Microsoft Research
- Tutorial 4:
Mining Latent Entity Structures from Massive Unstructured and
Interconnected Data
Thursday 13:30-15:10, Thursday 15:40-17:10
Location: Maybird
Hashtag: #sigmod14 #tutorial4
Presenters:Jiawei Han, University of Illinois at Urbana-Champaign; Chi Wang, University of Illinois at Urbana-Champaign
SIGMOD INDUSTRY SESSIONS
Industry 1: Real-time/Complex Data Analytics
Tuesday 10:30-12:10
Location: Ballroom 3
Hashtag: #sigmod14 #I1Px
Session Chair: Nesime Tatbul, Intel Labs and MIT
- Storm @Twitter
Ankit Toshniwal, Twitter Inc.; Siddarth Taneja, Twitter Inc. ; Amit Shukla, Twitter Inc.; Karthik Ramasamy, Twitter Inc.; Jignesh M. Patel, University of Wisconsin; Sanjeev Kulkarni, Twitter Inc.; Jason Jackson, Twitter Inc.; Krishna Gade, Twitter Inc.; Maosong Fu, Twitter Inc.; Jake Donham, Twitter Inc.; Nikunj Bhagat, Twitter Inc.; Sailesh Mittal, Twitter Inc.; Dmitriy Ryaboy, Twitter Inc. - Druid: A Real-time Analytical Data Store
Fangjin Yang, Metamarkets Group, Inc.; Eric Tschetter, -; Xavier Léauté, Metamarkets Group, Inc.; Nelson Ray, -; Gian Merlino, Metamarkets Group, Inc.; Deep Ganguli, Metamarkets Group, Inc. - The Next Generation Operational Data Historian for IoT Based on Informix
Sheng Huang, IBM China Research Lab; Yaoliang Chen, IBM China Research Lab; Xiaoyan Chen, IBM China Research Lab; Kai Liu, IBM China Research Lab; Xiaomin Xu, IBM China Research Lab; Chen Wang, IBM China Research Lab; Kevin Brown, IBM Informix Software Team; Inge Halilovic, IBM Informix Software Team - GenBase: A Complex Analytics Genomics Benchmark
Rebecca Taft, MIT; Manasi Vartak, MIT; Nadathur Rajagopalan Satish, Intel; Narayanan Sundaram, Intel; Samuel Madden, MIT; Michael Stonebraker, MIT
Industry 2: Query Optimization
Tuesday 13:30-15:10
Location: Ballroom 3
Hashtag: #sigmod14 #I2Px
Session Chair: Fatma Özcan, IBM Almaden Research Center
- Orca: A Modular Query Optimizer Architecture for Big Data
Mohamed A. Soliman, Pivotal Inc.; Lyublena Antova, Pivotal Inc.; Venkatesh Raghavan, Pivotal Inc.; Amr El-Helw, Pivotal Inc.; Zhongxian Gu, Pivotal Inc.; Entong Shen, Pivotal Inc.; George C. Caragea, Pivotal Inc; Carlos Garcia-Alvarado, Pivotal Inc.; Foyzur Rahman, Pivotal Inc.; Michalis Petropoulos, Pivotal Inc.; Florian Waas, Datometry Inc.; Sivaramakrishnan Narayanan, Qubole Inc.; Konstantinos Krikellas, Google Inc.; Rhonda Baldwin, Pivotal Inc. - Parallel I/O Aware Query Optimization
Pedram Ghodsnia, University of Waterloo; Ivan T. Bowman, SAP AG; Anisoara Nica, SAP AG - Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA
Guido Moerkotte, University of Mannheim; David DeHaan, SAP AG; Norman May, SAP AG; Anisoara Nica, SAP AG; Alexander Boehm, SAP AG - Optimizing Queries over Partitioned Tables in MPP Systems
Lyublena Antova, Pivotal Inc.; Amr El-Helw, Pivotal Inc.; Mohamed A. Soliman, Pivotal Inc.; Zhongxian Gu, Pivotal Inc.; Michalis Petropoulos, Pivotal Inc.; Florian Waas, Datometry
Industry 3: Storage Management
Tuesday 15:40-17:20
Location: Ballroom 3
Hashtag: #sigmod14 #I3Px
Session Chair: Hakan Hacigumus, NEC Labs
- Durable Write Cache in Flash Memory SSD for Relational and NoSQL Databases
Woon-Hak Kang, Sungkyunkwan University; Sang-Won Lee, Sungkyunkwan University; Bongki Moon, Seoul National University; Yang-Suk Kee, Samsung Semiconductor Inc.; Moonwook Oh, Samsung Electronics - Fast database restarts at Facebook
Aakash Goel, Georgia Institute of Technology; Bhuwan Chopra, Facebook, Inc.; Ciprian Gerea, Facebook, Inc.; Dhruv Matani, Facebook, Inc; Josh Metzler, Facebook, Inc.; Fahim Ul Haq, Facebook, Inc.; Janet Wiener, Facebook, Inc. - SpongeFiles: Mitigating Data Skew in MapReduce Using Distributed Memory
Khaled Elmeleegy, Turn, Inc.; Christopher Olston, Google, Inc.; Benjamin Reed, Facebook - Leveraging Compression in the Tableau Data Engine
Richard Michael Grantham Wesley, Tableau Software; Pawel Terlecki, Tableau Software
Industry 4: Big Data Systems
Thursday 10:30-12:10
Location: Ballroom 3
Hashtag: #sigmod14 #I4Px
Session Chair: Shel Finkelstein, SAP Labs
- HAWQ: A Massively Parallel Processing SQL Engine in Hadoop
Lei Chang, Pivotal; Zhanwei Wang, Pivotal; Tao Ma, Pivotal; Lirong Jian, Pivotal; Lili Ma, Pivotal; Alon Goldshuv, Pivotal; Luke Lonergan, Pivotal; Jeffrey Cohen, Pivotal; Caleb Welton, Pivotal; Gavin Sherry, Pivotal; Milind Bhandarkar, Pivota - Major Technical Advancements in Apache Hive
Yin Huai, The Ohio State University; Ashutosh Chauhan, Hortonworks Inc.; Alan Gates, Hortonworks Inc.; Gunther Hagleitner, Hortonworks Inc.; Eric N. Hanson, Microsoft; Owen O'Malley, Hortonworks Inc.; Jitendra Pandey, Hortonworks Inc.; Yuan Yuan, The Ohio State University; Rubao Lee, The Ohio State University; Xiaodong Zhang, The Ohio State University - JSON Data Management -- Supporting Schema-less Development in RDBMS
Zhen Hua Liu, Oracle Corporation; Beda Hammerschmidt, Oracle Corporation; Doug McMahon, Oracle Corporation
SIGMOD DEMONSTRATION SESSIONS
SIGMOD Demonstrations, Group A
Wednesday 10:30-12:10, Thursday 15:40-17:20
Location: Wasatch
Hashtag: #sigmod14 #demoAx
- Versatile Optimization of UDF-heavy Data Flows with Sofa Astrid Rheinländer, Humboldt-Universitat zu Berlin; Martin Beckmann, Humboldt-Universität zu Berlin; Anja Kunkel, Humboldt-Universität zu Berlin; Arvid Heise, Hasso Plattner Institut; Thomas Stoltmann, Humboldt-Universität zu Berlin; Ulf Leser, Humboldt-Universität zu Berlin
- ERIS Live: A NUMA-Aware In-Memory Storage Engine for Tera-Scale Multiprocessor Systems Tim Kiefer, Technische Universitat Dresden; Thomas Kissinger, Technische Universitat Dresden; Benjamin Schlegel, Technische Universitat Dresden; Dirk Habich, Technische Universitat Dresden; Daniel Molka, Technische Universtität Dresden; Wolfgang Lehner, Technische Universitat Dresden
- Demonstrating Efficient Query Processing in Heterogeneous Environments Tomas Karnagel, Technische Universität Dresden; Matthias Hille, Technische Universität Dresden; Mario Ludwig, Technische Universität Dresden; Dirk Habich, Technische Universität Dresden; Wolfgang Lehner, Technische Universität Dresden; Max Heimel, Technische Universität Berlin; Volker Markl, Technische Universität Berlin
- One DBMS for all: the Brawny Few and the Wimpy Crowd Tobias Mühlbauer, Technische Universität München; Wolf Rödiger, Technische Universitat München; Robert Seilbeck, Technische Universität München; Angelika Reiser, Technische Universitat München; Alfons Kemper, Technische Universität München; Thomas Neumann, Technische Universität München
- VQA: Vertica Query Analyzer Alkis Simitsis, HP Labs; Kevin Wilkinson, HP Labs; Jason Blais, Vertica - HP Software; Joe Walsh, Vertica - HP Software
- Palette: Enabling Scalable Analytics for Big-Memory, Multicore Machines Fei Chen, HP Labs; Tere Gonzalez, HP Labs; Jun Li, HP Labs; Manish Marwah, HP Labs; Jim Pruyne, HP Labs; Krishnamurthy Viswanathan, HP Labs; Mijung Kim, HP Labs
- NaLIR: An Interactive Natural Language Interface for Querying Relational Databases Fei Li, University of Michigan; H. V. Jagadish, University of Michigan
- BabbleFlow - A Translator for Analytic Data Flow Programs Petar Jovanovic, Universitat Politecnica de Catalunya; Alkis Simitsis, HP Labs; Kevin Wilkinson, HP Labs
- Indexing on Modern Hardware: Hekaton and Beyond Justin Levandoski, Microsoft Research; David Lomet, Microsoft Research; Sudipta Sengupta, Microsoft Research; Cristian Diaconu, Microsoft Research; Adrian Birka, Microsoft Research
- CrowdMatcher: Crowd-Assisted Schema Matching Chen Zhang, Hong Kong University of Science and Technology; Ziyuan Zhao, Hong Kong University of Science and Technology; Lei Chen, Hong Kong University of Science and Technology; H. V. Jagadish, University of Michigan; Chen CAO, Hong Kong University of Science and Technology
SIGMOD Demonstrations, Group B
Wednesday 15:00-16:40, Thursday 10:30-12:10
Location: Wasatch
Hashtag: #sigmod14 #demoBx
- Demonstration of the Myria Big Data Management Service
Daniel Halperin, University of Washington; Victor Teixeira de Almeida, University of Washington; Lee Lee Choo, University of Washington; Shumo Chu, University of Washington; Paraschos Koutris, University of Washington; Dominik Moritz, University of Washington; Jennifer Ortiz, University of Washington; Vaspol Ruamviboonsuk, University of Washington; Jingjing Wang, University of Washington; Andrew Whitaker, University of Washington; Shengliang Xu, University of Washington; Magdalena Balazinska, Univeristy of Washington; Bill Howe, University of Washington; Dan Suciu, University of Washington - DataSift: A Crowd-Powered Search Toolkit
Aditya Parameswaran, Stanford and University of Illinois Urbana at Champaign; Ming Han Teh, Stanford University; Hector Garcia-Molina, Stanford University; Jennifer Widom, Stanford University - Reactive and Proactive Sharing Across Concurrent Analytical Queries
Iraklis Psaroudakis, EPFL; Manos Athanassoulis, EPFL; Matthaios Alexandros Olma, EPFL; Anastasia Ailamaki, EPFL - SLQ: A User-friendly Graph Querying System
Shengqi Yang, University of California Santa Barbara; Yanan Xie, Zhejiang University; Yinghui Wu, University of California Santa Barbara; Tianyu Wu, Zhejiang University; Huan Sun, University of California Santa Barbara; Jian Wu, Zhejiang University; Xifeng Yan, University of California Santa Barbara - TAREEG: A MapReduce-Based Web Service for Extracting Spatial Data from OpenStreetMap
Louai Alarabi, University of Minnesota; Ahmed Eldawy, University of Minnesota; Rami Alghamdi, University of Minnesota; Mohamed Mokbel, University of Minnesota - Searching with XQ: the eXemplar Query Search Engine
Davide Mottin, University of Trento; Matteo Lissandrini, University of Trento; Yannis Velegrakis, University of Trento; Themis Palpanas, Paris Descartes University - MeanKS: Meaningful Keyword Search in Relational Databases with Complex Schema
Mehdi Kargar, York Universtiy; Aijun An, York University; Nick Cercone, York University; Parke Godfrey, York University; Jaroslaw Szlichta, University of Toronto; Xiaohui Yu, York University - H2RDF+: An Efficient Data Management System for Big RDF Graphs
Nikolaos Papailiou, National Technical University of Athens; Dimitrios Tsoumakos, Ionian University; Ioannis Konstantinou, National Technical University of Athens; Panagiotis Karras, Rutgers University; Nectarios Koziris, National Technical University of Athens - DoomDB - Kill the Query
Carsten Binnig, Baden-Wuerttemberg Cooperative State University; Abdallah Salama, Baden-Wuerttemberg Cooperative State University; Erfan Zamanian, Baden-Wuerttemberg Cooperative State University
SIGMOD Demonstrations, Group C
Wednesday 17:10-18:50, Thursday 13:30-15:10
Location: Wasatch
Hashtag: #sigmod14 #demoCx
- iCheck: Computationally Combating "Lies, D---ned Lies, and Statistics"
You Wu, Duke University; Brett Walenz, Duke University; Peggy Li, Duke University; Andrew Shim, Duke University; Emre Sonmez, Duke University; Pankaj Agarwal, Duke University; Chengkai Li, University of Texas at Arlington; Jun Yang, Duke University; Cong Yu, Google, Inc. - ABS: a System for Scalable Approximate Queries with Accuracy Guarantees
Kai Zeng, University of California, Los Angeles; Shi Gao, University of California, Los Angeles; Jiaqi Gu, University of California, Los Angeles; Barzan Mozafari, University of Michigan; Carlo Zaniolo, University of California, Los Angeles - NADEEF/ER: Generic and Interactive Entity Resolution
Ahmed Elmagarmid, Qatar Computing Research Institute; Ihab Ilyas, University of Waterloo; Mourad Ouzzani, Qatar Computing Research Institute; Jorge Quiane, Qatar Computing Research Institute; Nan Tang, Qatar Computing Research Institute; Si Yin, Qatar Computing Research Institute - SerpentTI: Flexible Analytics of Users, Boards and Domains for Pinterest
Alex Cheng, University of Toronto; Mary Malit, University of Toronto; Chuanxi Zhang, University of Toronto; Nick Koudas, University of Toronto - Interactive Redescription Mining
Esther Galbrun, Boston University; Pauli Miettinen, Max-Planck Institute for Informatics - ONTOCUBO: Cube-based Ontology Construction and Exploration
Carlos Garcia-Alvarado, Pivotal Inc.; Carlos Ordonez, University of Houston - An Extendable Framework for Managing Uncertain Spatio-Temporal Data
Andreas Züfle, Ludwig-Maximilians-Universität München; Matthias Renz, Ludwig-Maximilians-Universität München; Tobias Emrich, Ludwig-Maximilians-Universität München; Maximilian Franzke, Ludwig-Maximilians-Universität München; Hans-Peter Kriegel, Ludwig-Maximilians-Universität München; Johannes Niedermayer, Ludwig-Maximilians-Universität München - NewsNetExplorer: Automatic Construction and
Exploration of News Information Networks
Fangbo Tao, University of Illinois at Urbana-Champaign; Jiawei Han, University of Illinois at Urbana-Champaign; Heng Ji, Rensselaer Polytechnic Institute; George Brova, University of Illinois at Urbana-Champaign; Chi Wang, University of Illinois at Urbana-Champaign; Brandon Norick, University of Illinois at Urbana-Champaign; Ahmed El-Kishky, University of Illinois at Urbana-Champaign; Jialu Liu, University of Illinois at Urbana-Champaign; Xiang Ren, University of Illinois at Urbana-Champaign; Yizhou Sun, Northeastern University - IQR: An Interactive Query Relaxation System for the Empty-Answer Problem
Davide Mottin, University of Trento; Alice Marascu, IBM Research-Ireland;Senjuti Basu Roy, University of Washington Tacoma; Gautam Das, University of Texas at Arlington; Themis Palpanas, Paris Descartes University; Yannis Velegrakis, University of Trento - OceanRT: Real-Time Analytics over Large Temporal Data
Shiming Zhang, Huawei Noah Ark Lab; Yin Yang, University of Illinois at Urbana-Champaign and Advanced Digital Sciences Center; Wei Fan, Huawei Noah’s Ark Lab; Liang Lan, Huawei Noah Ark Lab; Mingxuan Yuan, Huawei Noah Ark Lab
SIGMOD SPONSOR EVENT TRENDING NOW
Wednesday 17:10-18:50
Location: Ballroom3
Session Chair: Feifei Li, University of Utah
Talk 1: Elements of Big Data Architecture
Speaker: Ryan Plant; Vice President, PWM Exception Processing, Goldman Sachs
What does Big Data architecture look like? When thinking of a
strategic data management roadmap, where would you start? How would
you leverage existing data sources and combine them with so-called
“Big Data” technologies? How do you derive value from a Big Data
solution? These are some of the fundamental questions that we will be
answering as we present a Reference Architecture for Big Data. We will
explore the key elements that any big (or small) data management
platform should consider when embarking on a Big Data solution.
Talk 2: Performance Isolation in Microsoft Azure DB
Speaker: Vivek Narasayya; Principal Researcher, Microsoft Research
Microsoft Azure DB (formerly SQL Azure) is a multi-tenant, relational
database-as-a-service. A consequence of multi-tenancy is the impact on
performance of a tenant's workload by "noisy neighbors". We will
describe the challenges and opportunities, and how Microsoft Azure DB
addresses this problem today.
Talk 3: Oracle 12c Database In-Memory
Speaker: Tirthankar Lahiri; Vice President, Oracle Data Technologies and TimesTen
Oracle Database In-Memory extends industry-leading Oracle Database 12c
with in-memory columnar technology featuring highly optimized
in-memory column formats and SIMD vector processing, enabling
analytics at a rate of billions of rows per second per CPU core.
Column format is optimal for analytics while row format is optimal for
OLTP. Oracle Database In-Memory employs a unique dual format
architecture to allow real-time analytics against data being actively
modified by OLTP applications. Since Oracle Database In Memory is
seamlessly built into the Oracle Database Engine, all of Oracle’s
extensive features, data types, interfaces and high availability
mechanisms continue to work transparently. Enabling Oracle Database
In-Memory is as simple as flipping a switch, and requires no
application changes. Oracle Database In-Memory can both scale-up to
the world's largest SMP's with thousands of CPU threads, as well as
scale-out across fault-tolerant clusters using Oracle's proven RAC
clustering technology. Furthermore, Oracle Database In-Memory does not
require that all data fit in memory: In-memory column formats can be
used for hot, actively accessed data while less active data can be
tiered across much lower cost flash and disk storage, providing a
cost-effective solution for very large databases.
SIGMOD POSTER SESSIONS
- Plenary Poster
Session 1: SIGMOD Research Plenary Poster Session
Monday 19:15-21:15
Location: The Event Tent Hashtag: #sigmod14 #rp1 Papers from SIGMOD Sessions Research 1 to 9, Research 19 to 23, and Industry 1 and 2. - Plenary Poster
Session 2: PODS/SIGMOD Research Plenary Poster Session
Tuesdau 20:15-
Location: The Event Tent Hashtag: #sigmod14 #pods14 #rp2 Papers from all PODS Sessions and from SIGMOD Sessions Research 10 to 18, Research 24 to 28, and Industry 3 and 4.
SIGMOD NEW RESEARCHER SYMPOSIUM
Successful Research: Planning, Collaborating, and Executing
Tuesday 17:30-19:00
Location: Ballroom
Hashtag: #sigmod2014 #research_symp
Session Chairs: Alexandra Meliou, University of Massachusetts Amherst;
Anish Das Sarma, Troo.Ly, Inc.
Every year, the SIGMOD Conference includes an exciting symposium
addressing various aspects of starting a career in the data management
community. These symposia are geared towards graduate students and
junior researchers, but they attract a very broad audience because
they are both informative and entertaining. Each panelist gives a
10-minute presentation, based on their personal experiences and
perspectives gained over the years. After the presentations, an
informal discussion ensues, where questions are welcomed from the
audience.
This year's panel will address the topic: "Successful Research:
Planning, Collaborating, and Executing". The panel will discuss
various aspects of planning out and executing successful research,
with a focus on pursuing and establishing successful collaborations.
This topic is of particular interest to graduate students and junior
researchers, but is relevant to the entire data management community.
CAREERS IN INDUSTRY
Careers in Industry
Tuesday 19:15-20:15
Location: Ballroom
Hashtag: #sigmod2014 #industry_career
Session Chair: Cong Yu, Google Research.
Every year, the SIGMOD Conference also includes industry sessions and
industry sponsors from industry leaders on big data management,
database systems, and data management in general. Many students after
graduation will join these companies and start an exciting career in
industry. This year, the SIGMOD Conference organizes a career in
industry panel event to address various aspects of starting a career
in the data management industry. Each platinum or gold sponsor of the
conference will send a representative to participate this panel. This
year’s event consists of representatives from Goldman Sachs, Oracle,
Microsoft, AT&T, Baidu, Facebook, Google, IBM Research, Pivotal, SAP,
Tableau, and Walmart Labs. This event is geared towards undergraduate
and graduate students and junior researchers, but we expect it to
attract a very broad audience because it will be both informative and
entertaining. Each panelist gives a short introduction, based on their
personal experiences and perspectives gained over the years. After the
introduction, an informal discussion ensues, where questions are
welcomed from the audience.
The panel will discuss various aspects of preparing, planning out, and
executing a successful industry career. This topic is of particular
interest to undergraduate and graduate students, but is relevant to
the entire data management community.
