NDLI: A New Method for Scheduling Load Balancing in Multi-processor Systems Based on PSO

Content Provider	IEEE Xplore Digital Library
Author	Kiyarazm, O. Moeinzadeh, M. Sharifian-R, S.
Copyright Year	2011
Abstract	In parallel and distributed systems, optimal task scheduling and load balancing has always been of great interest in order to minimize the time and speed up the process which plays a major role in the efficiency of such systems. By load balancing we mean scheduling the jobs in a way that every job could be executed concurrently while it is mapped to a processing unit, such as a processor (in a multi-processor system) or a computer (in a grid computer). It has been proved that dynamic load balancing is an NP-complete problem and designing an optimal scheduler that increases the efficiency and speed of the parallel systems is desired. In this paper, we want to present an algorithm for task scheduling and load balancing in multi-processor systems based on PSO method that can minimize the maximum span and average utilization of all processors in an optimal way.
Starting Page	71
Ending Page	76
File Size	335052
Page Count	6
File Format	PDF
ISBN	9781424498093
DOI	10.1109/ISMS.2011.73
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-25
Publisher Place	Cambodia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computers Processor scheduling Dynamic load balancingt Heuristic algorithms Optimal scheduling Load management Scheduling Multi-processor systems Particle swarm optimization
Content Type	Text
Resource Type	Article

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