An innovative application execution toolkit for multicluster grids

Zhifeng Yun, Zhou Lei, Gabrielle Allen, Daniel S. Katz, Tevfik Kosar, Shantenu Jha, Jagannathan Ramanujam

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

Abstract

Multicluster grids provide one promising solution to satisfying growing computation demands of compute-intensive applications by collaborating various networked clusters. However, it is challenging to seamlessly integrate all participating clusters in different domains into a virtual computation platform. In order to take full advantages of multicluster grids capability, computer scientists need to deal with how to collaborate practically and efficiently participating autonomic systems to execute Grid-enabled applications. We make efforts on grid resource management and implement a toolkit called Pelecanus to improve the overall performance of application execution in multicluster grids environment. The Pelecanus takes advantages of the DA-TC (Dynamic Assignment with Task Containers) execution model to improve resource interoperability and enhance application execution and monitoring. Experiments show that it can significantly reduce turnaround time and increase resource utilization for certain applications with large number of sequential jobs.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09
DOIs
StatePublished - Dec 21 2009
Externally publishedYes
Event2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09 - New Orleans, LA, United States
Duration: Aug 31 2009Sep 4 2009

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Other

Other2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09
CountryUnited States
CityNew Orleans, LA
Period8/31/099/4/09

Keywords

  • Execution models
  • Multicluster grids
  • Resource management

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

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