Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/16201
Title: Multi-dimensional resource allocation strategy for large- scale computational grid systems
Authors: KHOO BOON TAT
Keywords: Grid-Computing, Distributed-Computing, Scheduling, Multi-resource, Multi-dimension, HPC
Issue Date: 28-Apr-2007
Source: KHOO BOON TAT (2007-04-28). Multi-dimensional resource allocation strategy for large- scale computational grid systems. ScholarBank@NUS Repository.
Abstract: In this thesis, we propose a novel distributed resource-scheduling algorithm capable of handling multiple resource requirements for jobs that arrive in a Grid Computing Environment. Our algorithm, referred to as Multi-Dimension Resource Scheduling (MRS) algorithm, takes into account both site capabilities and resource requirements of jobs. The main objective of the algorithm is to obtain a minimal execution schedule through efficient management of available Grid resources. We introduce the concept of a n-dimensional virtual map and resource potential. Based on the proposed model, we conduct rigorous simulation experiments with real-life workload traces to quantify the performance. Our combined consideration of job and resource characteristics is shown to render high-performance with respect to above-mentioned metrics in the environment.
URI: http://scholarbank.nus.edu.sg/handle/10635/16201
Appears in Collections:Master's Theses (Open)

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