DocumentCode :
2955874
Title :
Comparative evaluation of the non-contiguous processor allocation strategies based on a real workload and a stochastic workload on multicomputers
Author :
Bani-Mohammad, S. ; Ould-Khaoua, M. ; Ababneh, I. ; Mackenzie, Lewis M.
Author_Institution :
Glasgow Univ., Glasgow
Volume :
2
fYear :
2007
fDate :
5-7 Dec. 2007
Firstpage :
1
Lastpage :
7
Abstract :
The performance study of the existing noncontiguous processor allocation strategies has been traditionally carried out by means of simulation based on a stochastic workload model to generate a stream of incoming jobs that are submitted to and run on a given message passing parallel machine for a period of time. To validate the performance of the existing allocation algorithms, there has been need to evaluate the algorithms´ performance based on a real workload trace. In this study, we evaluate the performance of several well-known processor allocation and job scheduling strategies based on a real workload trace and compare the results against those obtained from using a stochastic workload. Our results reveal that the conclusions reached on the relative performance merits of the allocation strategies when a real workload trace is used are in general compatible with those obtained when a stochastic workload is used.
Keywords :
performance evaluation; processor scheduling; resource allocation; job scheduling; message passing parallel machine; multicomputers; noncontiguous processor allocation strategies; performance evaluation; real workload; stochastic workload; Computational modeling; Concurrent computing; Exponential distribution; Message passing; Multiprocessor interconnection networks; Network topology; Parallel machines; Processor scheduling; Shape; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems, 2007 International Conference on
Conference_Location :
Hsinchu
ISSN :
1521-9097
Print_ISBN :
978-1-4244-1889-3
Electronic_ISBN :
1521-9097
Type :
conf
DOI :
10.1109/ICPADS.2007.4447838
Filename :
4447838
Link To Document :
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