Assessing the impact of concurrent replication with canceling in Parallel Jobs

Zhan Qiu, Juan F. Pérez

Research output: Contribution to journalConference article

4 Citations (Scopus)

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)
Article number7033635
Pages (from-to)31-40
Number of pages10
JournalProceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
Volume2015-February
Issue numberFebruary
DOIs
StatePublished - Jan 1 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

Fingerprint

Replica
Replication
Concurrent
Processing
Response Time
Resources
Natural sciences computing
Stochastic models
Application programs
Scientific Computing
Data Center
Performance Metrics
Cancellation
Parallelization
Stochastic Model
Efficient Algorithms
Limiting
Grid
Software
Model

All Science Journal Classification (ASJC) codes

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

Cite this

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