A Load Distribution through Competition for Workstation Clusters

The aim of this work is to develop a competition driven solution approach for load distribution in distributed computing system (DCS) environments. The subject DCS is composed of a set of workstation clusters. The study deals with concurrent applications, but assumes the existence of the independent...

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Main Authors: SHUM, Kam Hong, Bozyigit, Muslim
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1994
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Online Access:https://ink.library.smu.edu.sg/sis_research/1059
https://ink.library.smu.edu.sg/context/sis_research/article/2058/viewcontent/ShumKH9ISCIS10.1.1.53.6106.pdf
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spelling sg-smu-ink.sis_research-20582019-11-04T02:06:01Z A Load Distribution through Competition for Workstation Clusters SHUM, Kam Hong Bozyigit, Muslim The aim of this work is to develop a competition driven solution approach for load distribution in distributed computing system (DCS) environments. The subject DCS is composed of a set of workstation clusters. The study deals with concurrent applications, but assumes the existence of the independent tasks executing on individual workstations as well. Akin to conventional load balancing algorithms, the approach considers two phases; the partitioning phase and the mapping phase. Each phase is based on the application and the DCS data which is translated into market data, mainly price. The price is governed by the demand and supply of the traded commodities ( processing and communication capacities) and the competition created between the buyers (tasks) and the sellers (workstations), respectively. The work provides a basis for an elaborate study on realistic concurrent applications and workstation networks. It underlines the development of simple, faster, and flexible solutions to load d... 1994-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1059 https://ink.library.smu.edu.sg/context/sis_research/article/2058/viewcontent/ShumKH9ISCIS10.1.1.53.6106.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University load distribution workstation cluster realistic concurrent application study deal dc data computing system mapping phase flexible solution individual workstation solution approach conventional load independent task traded commodity workstation network elaborate study subject dc communication capacity concurrent application market data partitioning phase Computer Sciences Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic load distribution
workstation cluster
realistic concurrent application
study deal
dc data
computing system
mapping phase
flexible solution
individual workstation
solution approach
conventional load
independent task
traded commodity
workstation network
elaborate study
subject dc
communication capacity
concurrent application
market data
partitioning phase
Computer Sciences
Numerical Analysis and Scientific Computing
spellingShingle load distribution
workstation cluster
realistic concurrent application
study deal
dc data
computing system
mapping phase
flexible solution
individual workstation
solution approach
conventional load
independent task
traded commodity
workstation network
elaborate study
subject dc
communication capacity
concurrent application
market data
partitioning phase
Computer Sciences
Numerical Analysis and Scientific Computing
SHUM, Kam Hong
Bozyigit, Muslim
A Load Distribution through Competition for Workstation Clusters
description The aim of this work is to develop a competition driven solution approach for load distribution in distributed computing system (DCS) environments. The subject DCS is composed of a set of workstation clusters. The study deals with concurrent applications, but assumes the existence of the independent tasks executing on individual workstations as well. Akin to conventional load balancing algorithms, the approach considers two phases; the partitioning phase and the mapping phase. Each phase is based on the application and the DCS data which is translated into market data, mainly price. The price is governed by the demand and supply of the traded commodities ( processing and communication capacities) and the competition created between the buyers (tasks) and the sellers (workstations), respectively. The work provides a basis for an elaborate study on realistic concurrent applications and workstation networks. It underlines the development of simple, faster, and flexible solutions to load d...
format text
author SHUM, Kam Hong
Bozyigit, Muslim
author_facet SHUM, Kam Hong
Bozyigit, Muslim
author_sort SHUM, Kam Hong
title A Load Distribution through Competition for Workstation Clusters
title_short A Load Distribution through Competition for Workstation Clusters
title_full A Load Distribution through Competition for Workstation Clusters
title_fullStr A Load Distribution through Competition for Workstation Clusters
title_full_unstemmed A Load Distribution through Competition for Workstation Clusters
title_sort load distribution through competition for workstation clusters
publisher Institutional Knowledge at Singapore Management University
publishDate 1994
url https://ink.library.smu.edu.sg/sis_research/1059
https://ink.library.smu.edu.sg/context/sis_research/article/2058/viewcontent/ShumKH9ISCIS10.1.1.53.6106.pdf
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