Workload management for big data analytics

Ashraf Aboulnaga, Shivnath Babu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

It is our great pleasure to welcome you to the 2013 ACM SIGMOD Conference on Management of Data, SIGMOD'13. This year the conference is being held in New York City, at the Millennium Broadway Hotel in the Times Square theater district. New York City provides a wide range of attractions, including world-class restaurants, theater, museums, and monuments, with a distinctive architecture and skyline. Many of the larger technical sessions will take place in the Hudson Theater, a real Broadway-style theater, which will give a local flavor to the conference. SIGMOD 2013 hosts an exciting technical program, with two keynote talks that reflect New York City's status as a major financial center, "Big Data in Capital Markets" by Alex Nazaruk and Michael Rauchman (Middle Lake Partners LLC), and "Managing Database Technology at Enterprise Scale" by Paul Yaron (J.P. Morgan Chase); a panel session on "We are Drowning in a Sea of Least Publishable Units (LPUs)" by Michael Stonebraker (MIT), David DeWitt (Microsoft), Jeff Naughton (University of Wisconsin) and Ihab Ilyas (QCRI and University of Waterloo); 76 research paper presentations; 6 tutorials; 43 demonstrations; and 15 industrial presentations. In addition to having full 30-minute presentation slots, SIGMOD research papers, SIGMOD industrial papers, and PODS papers will also be presented in a Research Plenary Poster Session on Wednesday morning. SIGMOD 2013 has a broad workshop program, with 11 co-located workshops preceding the conference. The New Researcher symposium will take place on Tuesday evening, as will the session highlighting the finalists of the SIGMOD programming contest (this year's task is to implement a streaming document filtering system), the Microsoft reception and the Undergraduate Research Poster presentations. On Wednesday evening, SIGMOD will hold an entertainment event in the Hudson Theater, including a comedy performance and a world-class jazz ensemble. We received 372 research paper submissions. For the first time in its history, SIGMOD 2013 involved a reviewing process of two rounds, which replaced the feedback and shepherding mechanisms of previous conferences. 30 papers were accepted during the first round, while 46 were accepted after revisions, for a total of 76. Although the total acceptance rate has increased to 20%, we hope that the revision stage has improved the quality of the technical program. We are thankful to Microsoft CMT and its technical support team for their help during the reviewing process.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
Pages929-931
Number of pages3
DOIs
Publication statusPublished - 29 Jul 2013
Externally publishedYes
Event2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013 - New York, NY, United States
Duration: 22 Jun 201327 Jun 2013

Other

Other2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013
CountryUnited States
CityNew York, NY
Period22/6/1327/6/13

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Demonstrations
Big data
Feedback
Industry

Keywords

  • Analytics
  • MapReduce
  • Parallel database systems
  • Workload management

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Aboulnaga, A., & Babu, S. (2013). Workload management for big data analytics. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 929-931) https://doi.org/10.1145/2463676.2467801

Workload management for big data analytics. / Aboulnaga, Ashraf; Babu, Shivnath.

Proceedings of the ACM SIGMOD International Conference on Management of Data. 2013. p. 929-931.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Aboulnaga, A & Babu, S 2013, Workload management for big data analytics. in Proceedings of the ACM SIGMOD International Conference on Management of Data. pp. 929-931, 2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013, New York, NY, United States, 22/6/13. https://doi.org/10.1145/2463676.2467801
Aboulnaga A, Babu S. Workload management for big data analytics. In Proceedings of the ACM SIGMOD International Conference on Management of Data. 2013. p. 929-931 https://doi.org/10.1145/2463676.2467801
Aboulnaga, Ashraf ; Babu, Shivnath. / Workload management for big data analytics. Proceedings of the ACM SIGMOD International Conference on Management of Data. 2013. pp. 929-931
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