ENHANCED JOB SCHEDULING ALGORITHMS USING RESOURCE FORECASTS FOR VOLUNTEER GRID

RUBAB, SADDAF (2018) ENHANCED JOB SCHEDULING ALGORITHMS USING RESOURCE FORECASTS FOR VOLUNTEER GRID. PhD. thesis, Universiti Teknologi PETRONAS.

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Abstract

Volunteer Grid (VG) computing provides a solution and makes use of idle resources
that are spread around us, providing an estimate of one billion of computational power.
The development and rise of volunteer grid has benefitted many scientific and industrial
projects by serving computation of intensive jobs.

Item Type: Thesis (PhD.)
Subjects: T Technology > T Technology (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 14 May 2019 10:39
Last Modified: 14 May 2019 10:39
URI: http://utpedia.utp.edu.my/id/eprint/19010

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