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SIGMOD 2018: Accepted Industrial Papers

  • Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes
    Alexandre Verbitski (Amazon Web Services); Anurag Gupta (Amazon Web Services); Debanjan Saha (Amazon Web Services); James Corey (Amazon Web Services); Kamal Gupta (Amazon Web Services); Murali Brahmadesam (Amazon Web Services); Raman Mittal (Amazon Web Services); Sailesh Krishnamurthy (Amazon Web Services); Sandor Maurice (Amazon Web Services); Tengiz Kharatishvilli (Amazon Web Services); Xiaofeng Bao (Amazon Web Services)
  • Eon Mode: Bringing the Vertica Columnar Database to the Cloud
    Ben Vandiver (Vertica); Shreya Prasad (Vertica); Pratibha Rana (Vertica); Eden Zik (Vertica); Amin Saeidi (Vertica); Pratyush Parimal (Vertica); Styliani Pantela (Vertica); Jaimin Dave (Vertica)
  • P-Store: An Elastic Database System with Predictive Provisioning
    Rebecca Taft (Massachusetts Institute of Technology ); Nosayba El-Sayed (Qatar Computing Research Institute - HBKU); Marco Serafini (Qatar Computing Research Institute - HBKU); Yu Lu (University of Illinois Urbana-Champaign); Ashraf Aboulnaga (Qatar Computing Research Institute - HBKU); Michael Stonebraker (Massachusetts Institute of Technology ); Ricardo Mayerhofer (B2W Digital); Francisco Andrade (B2W Digital)
  • Survivability of Cloud Databases - Factors and Prediction
    Jose Picado (Oregon State University); Willis Lang (Microsoft Gray Systems Lab); Edward C. Thayer (Microsoft)
  • Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q
    Lyublena Antova (Datometry); Derrick Bryant (Datometry); Tuan Cao (Datometry); Michael Duller (Datometry); Mohamed A. Soliman (Datometry); Florian M. Waas (Datometry)
  • A Graph Database for a Virtualized Network Infrastructure
    Pramod Jamkhedkar (AT&T Labs - Research); Theodore Johnson (AT&T Labs - Research); Yaron Kanza (AT&T Labs - Research); Aman Shaikh (AT&T Labs - Research); N. K. Shankaranarayanan (AT&T Labs - Research); Vladislav Shkapenyuk (AT&T Labs - Research)
  • G-CORE: A Core for Future Graph Query Languages
    Renzo Angles (Universidad de Talca); Marcelo Arenas (Pontificia Universidad Catolica de Chile); Pablo Barcelo (Universidad de Chile); Peter Boncz (CWI, Amsterdam); George Fletcher (Technische Universiteit Eindhoven); Claudio Gutierrez (Universidad de Chile); Tobias Lindaaker (Neo4j); Marcus Paradies (DLR); Stefan Plantikow (Neo4j); Juan Sequeda (Capsenta); Oskar van Rest (Oracle); Hannes Voigt (Technische Universitat Dresden)
  • RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt
    Cagri Balkesen (Oracle Labs); Nitin Kunal (Oracle Labs); Georgios Giannikis (Oracle Labs); Pit Fender (Oracle Labs); Seema Sundara (Oracle Labs); Felix Schmidt (Oracle Labs); Jarod Wen (Oracle Labs); Sandeep Agrawal (Oracle Labs); Arun Raghavan (Oracle Labs); Venkatanathan Varadarajan (Oracle Labs); Anand Viswanathan (Oracle Labs); Balakrishnan Chandrasekaran (Oracle Labs); Sam Idicula (Oracle Labs); Nipun Agarwal (Oracle Labs); Eric Sedlar (Oracle Labs)
  • Computation Reuse in Analytics Job Service at Microsoft
    Alekh Jindal (Microsoft); Shi Qiao (Microsoft); Hiren Patel (Microsoft); Zhicheng Yin (Microsoft); Jieming Di (Microsoft); Malay Bag (Microsoft); Marc Friedman (Microsoft); Yifung Lin (Microsoft); Konstantinos Karanasos (Microsoft); Sriram Rao (Microsoft)
  • Cypher: An Evolving Query Language for Property Graphs
    Nadime Francis (Université Paris-Est); Alastair Green (Neo4j); Paolo Guagliardo (University of Edinburgh); Leonid Libkin (University of Edinburgh); Tobias Lindaaker (Neo4j); Victor Marsault (University of Edinburgh); Stefan Plantikow (Neo4j); Mats Rydberg (Neo4j); Petra Selmer (Neo4j); Andrés Taylor (Neo4j)
  • BIPie: Fast Selection and Aggregation on Encoded Data using Operator Specialization
    Michal Nowakiewicz (MemSQL); Eric Boutin (MemSQL); Eric Hanson (MemSQL); Robert Walzer (MemSQL); Akash Katipally (MemSQL)
  • TcpRT: Instrument and Diagnostic Analysis System for Service Quality of Cloud Databases at Massive Scale in Real-time
    Wei Cao (Alibaba Group); Yusong Gao (Alibaba Group); Bingchen Lin (Alibaba Group); Xiaojie Feng (Alibaba Group); Yu Xie (Alibaba Group); Xiao Lou (Alibaba Group); Peng Wang (Alibaba Group)
  • Columnstore and B+ tree – Are Hybrid Physical Designs Important?
    Adam Dziedzic (University of Chicago); Jingjing Wang (University of Washington); Sudipto Das (Microsoft Research); Bolin Ding (Microsoft Research); Vivek R. Narasayya (Microsoft Research); Manoj Syamala (Microsoft Research)
  • Pinot: Realtime OLAP for 530 Million Users
    Jean-François Im (Linkedin Corp.); Kishore Gopalakrishna (Linkedin Corp.); Subbu Subramaniam (Linkedin Corp.); Mayank Shrivastava (Linkedin Corp.); Adwait Tumbde (Linkedin Corp.); Xiaotian Jiang (Linkedin Corp.); Jennifer Dai (Linkedin Corp.); Seunghyun Lee (Linkedin Corp.); Neha Pawar (Linkedin Corp.); Jialiang Li (Linkedin Corp.); Ravi Aringunram (Linkedin Corp.)
  • Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources
    Edmon Begoli (Oak Ridge National Laboratory (ORNL)); Jesús Camacho-Rodríguez (Hortonworks Inc.); Julian Hyde (Hortonworks Inc.); Michael J. Mior (University of Waterloo); Daniel Lemire (University of Quebec (TELUQ))
  • Robust, Scalable, Real-Time Event Time Series Aggregation at Twitter
    Peilin Yang (Twitter Inc.); Srikanth Thiagarajan (Twitter Inc.); Jimmy Lin (University of Waterloo)
  • Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark
    Michael Armbrust (Databricks Inc.); Tathagata Das (Databricks Inc.); Joseph Torres (Databricks Inc.); Burak Yavuz (Databricks Inc.); Shixiong Zhu (Databricks Inc.); Reynold Xin (Databricks Inc.); Ali Ghodsi (Databricks Inc. ); Ion Stoica (Databricks Inc. ); Matei Zaharia (Databricks & Stanford); Mashaal Musleh (University of Minnesota); Mohamed F. Mokbel (Qatar Computing Research Institute, HBKU)

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