A workflow scheduling technique to consider task processing rate in spot instance-based cloud

Daeyong Jung, Jong Beom Lim, Heonchang Yu

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

2 Citations (Scopus)

Abstract

Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. A spot instance in cloud computing helps a user to obtain resources at a lower cost, but it may be unreliable. In this paper, we propose a workflow scheduling scheme to consider task processing rate. This scheme reduces the task waiting time and the rollback time when an out-of-bid situation occurs in an instance.

Original languageEnglish
Title of host publicationLecture Notes in Electrical Engineering
PublisherSpringer Verlag
Pages483-494
Number of pages12
Volume301
ISBN (Print)9789401787970
DOIs
Publication statusPublished - 2014
Event2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014 - Auckland, New Zealand
Duration: 2014 Jan 132014 Jan 16

Publication series

NameLecture Notes in Electrical Engineering
Volume301
ISSN (Print)18761100
ISSN (Electronic)18761119

Other

Other2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014
CountryNew Zealand
CityAuckland
Period14/1/1314/1/16

Keywords

  • Cloud computing
  • Fault tolerance
  • Price history
  • Spot instances
  • Workflow

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Jung, D., Lim, J. B., & Yu, H. (2014). A workflow scheduling technique to consider task processing rate in spot instance-based cloud. In Lecture Notes in Electrical Engineering (Vol. 301, pp. 483-494). (Lecture Notes in Electrical Engineering; Vol. 301). Springer Verlag. https://doi.org/10.1007/978-94-017-8798-7_59