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International Journal of Computer Applications
Article . 2012 . Peer-reviewed
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Distributing Graphic Rendering using Grid Computing with Load Balancing

Authors: Mohamed F. Al-rahamawy; Ali Ibraheem El-Desoky; El-Sayed M.T.El-kenawy;

Distributing Graphic Rendering using Grid Computing with Load Balancing

Abstract

Graphic rendering is expensive in terms of computation. We investigate distributing it by applying the powerful computing technique called grid computing, and showing how this technology has a great effectiveness and high performance. The paper shows how to develop a java drawing framework for drawing in the distributed environment by dividing the work upon nodes in grid computing and selecting the best nodes for job assignments to have the jobs executed in the least amount of time. Schedulers are limited in individual capability, but when deployed in large numbers can represent a strong force similar to a colony of ants or swarm of bees. The paper also presents a mechanism for load balancing based on swarm intelligence such as Ant colony optimization and Particle swarm Optimization. General Terms Graphic Rendering, Grid Computing, Load Balancing.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold