DocumentCode :
1150439
Title :
A Stochastic Optimization Algorithm Minimizing Expected Flow Times on Uniforn Processors
Author :
Agrawala, Ashok K. ; Coffman, Edward G., Jr. ; Garey, Michael R. ; Tripathi, Satish K.
Author_Institution :
Department of Computer Science, University of Maryland
Issue :
4
fYear :
1984
fDate :
4/1/1984 12:00:00 AM
Firstpage :
351
Lastpage :
356
Keywords :
Consider a set of processors P1,..., Pm differing only in speed, and a set of jobs with exponentially distributed execution times. The rate parameter for the ith processor is given by μi, 1 ≤i ≤ m, where we assume the processors are ordered so that μ1 ≥ μ2 ≥ ... ≥ μm. The problem is to sequence the jobs nonpreemptively so as to minimize expected total flow time (sum of finishing times). We define a threshold ru; Mean flow time minimization; routing problems; stochastic optimization; stochastic scheduling; uniform processor systems; Computer science; Delay effects; Finishing; Processor scheduling; Random variables; Routing; Stochastic processes; Stochastic systems; Consider a set of processors P1,..., Pm differing only in speed, and a set of jobs with exponentially distributed execution times. The rate parameter for the ith processor is given by μi, 1 ≤i ≤ m, where we assume the processors are ordered so that μ1 ≥ μ2 ≥ ... ≥ μm. The problem is to sequence the jobs nonpreemptively so as to minimize expected total flow time (sum of finishing times). We define a threshold ru; Mean flow time minimization; routing problems; stochastic optimization; stochastic scheduling; uniform processor systems;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.1984.1676440
Filename :
1676440
Link To Document :
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