Execution time prediction in DSM-based mobile grids

M. Ballette, A. Liotta, S.A. Ramzy

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Mobile grids are collaborative, resource sharing environments formed by a collection of heterogeneous devices ranging from fixed PCs to wireless devices such as PDAs, laptops, cellulars etc. We investigate the distributed shared memory (DSM) paradigm in the context of mobile grid computing. The uncoupled communication paradigm provided by DSM systems is well desirable in a mobile environment because it provides means for handling the temporary unavailability of resources. We tackle the problems of mobile (disconnected) computing and fault-recovery through a 'time-out management' strategy, introducing a novel task-duration prediction approach. We illustrate how task execution prediction can be beneficially employed to introduce scheduling heuristics that submit tasks to those terminals that are more reliable, connected, and resourceful.
Original languageEnglish
Title of host publicationProceedings 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005,Cardiff, UK, May 9-12, 2005)
PublisherIEEE Computer Society
Pages881-888
ISBN (Print)0-7803-9074-1
DOIs
Publication statusPublished - 2005

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    Ballette, M., Liotta, A., & Ramzy, S. A. (2005). Execution time prediction in DSM-based mobile grids. In Proceedings 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005,Cardiff, UK, May 9-12, 2005) (pp. 881-888). IEEE Computer Society. https://doi.org/10.1109/CCGRID.2005.1558655