Comparative evaluation of contiguous allocation strategies on 3D mesh multicomputers

Bani-Mohammad, S., Ould-Khaoua, M., Abaneh, I. and Mackenzie, L.M. (2008) Comparative evaluation of contiguous allocation strategies on 3D mesh multicomputers. Journal of Systems and Software, 82(2), pp. 307-318. (doi:10.1016/j.jss.2008.06.033)

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Publisher's URL: http://dx.doi.org/10.1016/j.jss.2008.06.033

Abstract

The performance of contiguous allocation strategies can be significantly affected by the type of the distribution adopted for job execution times. In this paper, the performance of the existing contiguous allocation strategies for 3D mesh multicomputers is re-visited in the context of heavy-tailed distributions (e.g., a Bounded Pareto distribution). The strategies are evaluated and compared using simulation experiments for both First-Come-First-Served (FCFS) and Shortest-Service-Demand (SSD) scheduling strategies under a variety of system loads and system sizes. The results show that the performance of the allocation strategies degrades considerably when job execution times follow a heavy-tailed distribution. Moreover, SSD copes much better than FCFS scheduling strategy in the presence of heavy-tailed job execution times. The results also reveal that allocation strategies that employ a list of allocated sub-meshes for both allocation and de-allocation exhibit low allocation overhead, and maintain good system performance in terms of average turnaround time and mean system utilization.

Item Type:Articles
Keywords:Contiguous processor allocation, turnaround time, system utilization, allocation overhead, heavy-tailed distribution
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ould-Khaoua, Dr Mohamed and Mackenzie, Dr Lewis
Authors: Bani-Mohammad, S., Ould-Khaoua, M., Abaneh, I., and Mackenzie, L.M.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Journal of Systems and Software
ISSN:0164-1212

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