Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle

Abhishek Verma, Ludmila Cherkasova, Vijay S. Kumar, Roy H. Campbell

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

Abstract

Hadoop and the associated MapReduce paradigm, has become the de facto platform for cost-effective analytics over "Big Data". There is an increasing number of MapReduce applications associated with live business intelligence that require completion time guarantees. In this work, we introduce and analyze a set of complementary mechanisms that enhance workload management decisions for processing MapReduce jobs with deadlines. The three mechanisms we consider are the following: 1) a policy for job ordering in the processing queue; 2) a mechanism for allocating a tailored number of map and reduce slots to each job with a completion time requirement; 3) a mechanism for allocating and deallocating (if necessary) spare resources in the system among the active jobs. We analyze the functionality and performance benefits of each mechanism via an extensive set of simulations over diverse workload sets. The proposed mechanisms form the integral pieces in the performance puzzle of automated workload management in MapReduce environments.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012
Pages900-905
Number of pages6
DOIs
StatePublished - Jul 30 2012
Event2012 IEEE Network Operations and Management Symposium, NOMS 2012 - Maui, HI, United States
Duration: Apr 16 2012Apr 20 2012

Publication series

NameProceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012

Other

Other2012 IEEE Network Operations and Management Symposium, NOMS 2012
CountryUnited States
CityMaui, HI
Period4/16/124/20/12

Keywords

  • MapReduce
  • Performance
  • Resource Allocation

ASJC Scopus subject areas

  • Management Science and Operations Research

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    Verma, A., Cherkasova, L., Kumar, V. S., & Campbell, R. H. (2012). Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle. In Proceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012 (pp. 900-905). [6212006] (Proceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012). https://doi.org/10.1109/NOMS.2012.6212006