Skip to main navigation Skip to search Skip to main content

Multisite co-allocation scheduling algorithms for parallel jobs in computing grid environments

  • School of Computer Science and Technology, Harbin Institute of Technology
  • National Computer Network Emergency Response Technical Team Coordination Center of China
  • Beijing University of Posts and Telecommunications

Research output: Contribution to journalArticlepeer-review

Abstract

Cooperation of multi-domain massively parallel processor systems in computing grid environment provides new opportunities for multisite job scheduling. At the same time, in the area of co-allocation, heterogeneity, network adaptability and scalability raise the challenge for the international design of multisite job scheduling models and algorithms. It presents multisite job scheduling schema through the introduction of multisite job scheduling model and the performance model under the grid environment. It introduces two job multisite and cooperative scheduling models and algorithms with the core of the optimal and greedy-heuristic resource selection strategies. Meanwhile, compared with single and multisite cooperative scheduling models and algorithms introduced by Sabin, Yahyapour and other persons, the validity and advance of the scheduling model and the performance model herein are proved.

Original languageEnglish
Pages (from-to)906-926
Number of pages21
JournalScience in China, Series F: Information Sciences
Volume49
Issue number6
DOIs
StatePublished - Dec 2006
Externally publishedYes

Keywords

  • Computational grid
  • Multisite co-allocation
  • Parallel job
  • Resource reservation and job backfilling
  • Resource selection

Fingerprint

Dive into the research topics of 'Multisite co-allocation scheduling algorithms for parallel jobs in computing grid environments'. Together they form a unique fingerprint.

Cite this