A Design of Load Conditioning Algorithm In Fault-Tolerant System using Self-learning


KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 11, pp. 3356-3371, Nov. 2000
10.3745/KIPSTE.2000.7.11.3356,   PDF Download:

Abstract

In this paper, we proposed for load control algorithm which is transfer policy, location policy and selection policy in case of n node''s failure in a distributed system environment, allowing to failure, supporting system''s safety, to translate failure node into no failure node. This mechanism gains load state''s information efficiently and the best algorithm can select in the background of self-learning experience in order to reduce response time. And then we can select the best algorithm in a resemble appearance. We estimate system''s affect to each algorithm which is applying to parameter. In a result, it is not affected to job arriving rate, service rate and failure of node rate, but we know that it is many affected to failure''s repair rate and communication delay size with respect to load migration.


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Cite this article
[IEEE Style]
S. J. Chang and Y. W. Koo, "A Design of Load Conditioning Algorithm In Fault-Tolerant System using Self-learning," KIPS Journal (1994 ~ 2000), vol. 7, no. 11, pp. 3356-3371, 2000. DOI: 10.3745/KIPSTE.2000.7.11.3356.

[ACM Style]
Soon Ju Chang and Yong Wan Koo. 2000. A Design of Load Conditioning Algorithm In Fault-Tolerant System using Self-learning. KIPS Journal (1994 ~ 2000), 7, 11, (2000), 3356-3371. DOI: 10.3745/KIPSTE.2000.7.11.3356.