Resource allocation scheme to minimize communication cost in mobile ad hoc computational grids

Sayed Chhattan Shah, Myong Soon Park

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

4 Citations (Scopus)

Abstract

Recent advancements in mobile computing and communication technologies has given rise to development of mobile ad hoc computational grids. The mobile ad hoc computational grids provide a software infrastructure to share computing resources in mobile ad hoc environments. The adaptation of computational grids in mobile ad hoc environments is not straightforward, and presents many research challenges due to node mobility and infrastructure-less network environment. In order to improve utilization of shared computing resources and application performance, one of the key services is a resource allocation. In this paper, we propose a centralized resource allocation scheme that allocates dependent tasks among nodes in mobile ad hoc computational grids. First, we classify tasks and dependencies, and then exploit them to reduce communication cost among interdependent tasks, and thus application completion time. The effectiveness of proposed scheme is demonstrated through simulations.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010
Pages169-176
Number of pages8
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010 - Thessaloniki, Greece
Duration: 2010 Nov 242010 Nov 26

Publication series

NameProceedings - 2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010

Other

Other2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010
Country/TerritoryGreece
CityThessaloniki
Period10/11/2410/11/26

Keywords

  • Ad hoc networks
  • Computational grid
  • Mobile ad hoc computational grids
  • Mobile grids

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

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