Assessing the impact of concurrent replication with canceling in Parallel Jobs

Zhan Qiu, Juan F. Pérez

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

4 Scopus citations

Abstract

Parallel job processing has become a key feature of many software applications, e.g., in scientific computing. Parallelization allows these applications to exploit large resource pools, such as cloud or grid data centers. However, a job composed of a large number of parallel tasks will suffer a failure if any of its tasks fail, requiring reprocessing and additional delays. In this paper, we explore the effect that the replication of parallel jobs has on the job reliability and response time, as well as on resource utilization. The replication mechanism consists of concurrently processing replicas, at either the job or the task level, retrieving the results of the replica that finishes first, if any, and canceling any remaining replica in process. We propose a stochastic model that explicitly considers parallel job processing, replication at both the job and the task level, and handles general arrival processes. We develop a numerically-efficient algorithm to solve large-scale instances of the model and compute key performance metrics. We observe that the task cancellation mechanism offers an effective way of limiting the increase in resource utilization, allowing the use of replicas that not only increase the job reliability, but have the potential to reduce the response times.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 22nd Annual IEEE International Symposium on Modeling, Analysis and Simulation of Computer, and Telecommunication Systems, MASCOTS 2014
PublisherIEEE Computer Society
Pages31-40
Number of pages10
EditionFebruary
ISBN (Electronic)9781479956104
DOIs
StatePublished - Feb 5 2015
Externally publishedYes
Event2014 22nd Annual IEEE International Symposium on Modeling, Analysis and Simulation of Computer, and Telecommunication Systems, MASCOTS 2014 - Paris, France
Duration: Sep 9 2014Sep 11 2014

Publication series

NameProceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
NumberFebruary
Volume2015-February
ISSN (Print)1526-7539

Conference

Conference2014 22nd Annual IEEE International Symposium on Modeling, Analysis and Simulation of Computer, and Telecommunication Systems, MASCOTS 2014
CountryFrance
CityParis
Period9/9/149/11/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Software
  • Modeling and Simulation

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