Abstract
Under sender-initiated load redistribution algorithms, the sender continues to send unnecessary request messages for load transfer until a receiver is found while the system load is heavy. Because of these unnecessary request messages it results in inefficient communications, low cpu utilization, and low system throughput. To solve these problems, we propose a genetic algorithm approach for improved sender-initiated load redistribution in distributed systems, and define a suitable fitness function. This algorithm decreases response time and increases acceptance rate.
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Lee, S., Lee, D., Shim, D., Cho, D. (2005). Dynamic Load Redistribution Approach Using Genetic Information in Distributed Computing. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_25
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DOI: https://doi.org/10.1007/11424758_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25860-5
Online ISBN: 978-3-540-32043-2
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