Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Hybrid performance-oriented scheduling of moldable jobs with QoS demands in multiclusters and grids

Tools
- Tools
+ Tools

UNSPECIFIED (2004) Hybrid performance-oriented scheduling of moldable jobs with QoS demands in multiclusters and grids. In: 3rd International Conference on Grid and Cooperative Computing (GCC 2004), OCT 21-24, 2004, Wuhan, PEOPLES R CHINA.

Full text not available from this repository.

Abstract

This paper addresses the dynamic scheduling of moldable jobs with QoS demands (soft-deadlines) in multiclusters. A moldable job can be run on a variable number of resources. Three metrics (over-deadline, makespan and idletime) are combined with weights to evaluate the scheduling performance. Two levels of performance optimisation are applied in the multicluster. At the multicluster level, a scheduler (which we call MUSCLE) allocates parallel jobs with high packing potential to the same cluster; MUSCLE also takes the jobs' QoS requirements into account and employs a heuristic to achieve performance balancing across the multicluster. At the single cluster level, an existing workload manager, called TITAN, utilizes a genetic algorithm to further improve the scheduling performance of the jobs allocated by MUSCLE. Extensive experimental studies are conducted to verify the effectiveness of the scheduling mechanism in MUSCLE. The results show that the comprehensive scheduling performance of parallel jobs is significantly improved across the multicluster.

Item Type: Conference Item (UNSPECIFIED)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Series Name: LECTURE NOTES IN COMPUTER SCIENCE
Journal or Publication Title: GRID AND COOPERATIVE COMPUTING GCC 2004, PROCEEDINGS
Publisher: SPRINGER-VERLAG BERLIN
ISBN: 3-540-23564-7
ISSN: 0302-9743
Editor: JIn, H and Pan, Y and Xiao, N and Sun, J
Date: 2004
Volume: 3251
Number of Pages: 8
Page Range: pp. 217-224
Publication Status: Published
Title of Event: 3rd International Conference on Grid and Cooperative Computing (GCC 2004)
Location of Event: Wuhan, PEOPLES R CHINA
Date(s) of Event: OCT 21-24, 2004
URI: http://wrap.warwick.ac.uk/id/eprint/7635

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item View Item
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us