An efficient checkpointing scheme using price history of spot instances in cloud computing environment

Daeyong Jung, Sungho Chin, Kwangsik Chung, Heonchang Yu, Joonmin Gil

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

25 Citations (Scopus)

Abstract

The cloud computing is a computing paradigm that users can rent computing resources from service providers as much as they require. A spot instance in cloud computing helps a user to utilize resources with less expensive cost, even if it is unreliable. When a user performs tasks with unreliable spot instances, failures inevitably lead to the delay of task completion time and cause a seriously deterioration in the QoS of users. Therefore, we propose a price history based checkpointing scheme to avoid the delay of task completion time. The proposed checkpointing scheme reduces the number of checkpoint trials and improves the performance of task execution. The simulation results show that our scheme outperforms the existing checkpointing schemes in terms of the reduction of both the number of checkpoint trials and total costs per spot instance for user's bid.

Original languageEnglish
Title of host publicationNetwork and Parallel Computing - 8th IFIP International Conference, NPC 2011, Proceedings
Pages185-200
Number of pages16
DOIs
Publication statusPublished - 2011
Event8th IFIP International Conference on Network and Parallel Computing, NPC 2011 - Changsha, China
Duration: 2011 Oct 212011 Oct 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6985 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th IFIP International Conference on Network and Parallel Computing, NPC 2011
Country/TerritoryChina
CityChangsha
Period11/10/2111/10/23

Keywords

  • Checkpointing
  • Cloud computing
  • Price history
  • Spot instances

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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