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

Daeyong Jung, Jong Beom Lim, Heon Chang 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 publicationFrontier and Innovation in Future Computing and Communications
EditorsAlbert Zomaya, James J. Park, Hwa-Young Jeong, Mohammad Obaidat
PublisherSpringer Verlag
Pages483-494
Number of pages12
ISBN (Electronic)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)1876-1100
ISSN (Electronic)1876-1119

Other

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

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2013056346).

Publisher Copyright:
© Springer Science+Business Media Dordrecht 2014.

Keywords

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

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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