Fuzzy inference based adaptive result verification scheme in desktop grids

Joon M. Gil, Soon Young Jung

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

Abstract

A result verification procedure is required to guarantee the correctness of task results executed by any unspecified resource in desktop grids. Voting-based and trust-based schemes have typically been used for desktop grid. However, these schemes can encounter two problems: waste of resources, due to redundant replications of each task, and increased turnaround time, due to the inability to deal with a dynamic changeable execution environment. To overcome these problems, we propose a fuzzy inference-based replication scheme that can adaptively determine the number of replications per task needed for result verification. Simulation results indicate that our scheme is superior to others in terms of turnaround time of entire tasks, quantity of resources consumed, and number of reallocations per task.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009
DOIs
Publication statusPublished - 2009 Dec 1
Event4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009 - Fukuoka, Japan
Duration: 2009 Dec 202009 Dec 22

Other

Other4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009
CountryJapan
CityFukuoka
Period09/12/2009/12/22

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Gil, J. M., & Jung, S. Y. (2009). Fuzzy inference based adaptive result verification scheme in desktop grids. In Proceedings of the 4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009 [5405737] https://doi.org/10.1109/ICUT.2009.5405737