NDLI: A genetic algorithm perspective to distributed systems design

Content Provider	IEEE Xplore Digital Library
Author	Ahuja, S.P.
Copyright Year	2000
Description	Author affiliation: Coll. of Comput. & Inf. Sci., North Florida Univ., Jacksonville, FL, USA (Ahuja, S.P.)
Abstract	Distributed computing systems (DCSs) have the potential for high reliability. When the topology of a DCS is fixed, the DCS's reliability depends mainly on the allocation of various resources. One of the important resources to be allocated in a DCS are various files. In this paper, a genetic algorithm (GA) based file allocation and design scheme has been developed for distributed systems. In this scheme, files are allocated to the nodes of the DCS such that the overall effectiveness of executing a program, which requires files from remote nodes, is maximized. Different topologies are considered to illustrate the GA-based solution approach. The effectiveness of the GA-based approach is demonstrated by comparing the results obtained using the GA with the results obtained by an exhaustive search of the problem state space. A timing study that was carried out also illustrates the effectiveness of the GA-based approach. This paper also studies the impact of the probability of crossover (Pc) and the probability of mutation (Pm) on the results obtained using the GA.
Starting Page	83
Ending Page	90
File Size	610515
Page Count	8
File Format	PDF
ISBN	0780363124
DOI	10.1109/SECON.2000.845430
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-04-09
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Distributed control Computer network reliability Costs Throughput Topology Telecommunication network reliability Distributed computing Resource management Algorithm design and analysis
Content Type	Text
Resource Type	Article

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