DocumentCode :
3077817
Title :
Maximal throughput for stability of a class of parallel processing systems
Author :
Bambos, Nicholas ; Walrand, Jean
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fYear :
1990
fDate :
5-7 Dec 1990
Firstpage :
161
Abstract :
Considered are a parallel processing system consisting of a finite number of identical processors that can work concurrently, and a random stream of arriving jobs, each requiring for its execution a random number of processors to be engaged concurrently for some random processing time. Arriving jobs are placed in an infinite capacity buffer and are allocated to the processors to be executed nonpreemptively. The arrival times, the number of concurrently required processors, and the processing times of the jobs form a stationary and ergodic sequence. The queueing theoretic stability aspects of this system raised because of the infinite capacity buffer are discussed. It is concluded that if the arrival date λ* of jobs to the system is greater than some threshold value λ*, the system is unstable under any possible processing scheme (allocation policy of jobs to processors) used to operate it. However, for any arrival rate λ less than λ*, a processing scheme is constructed which keeps the system stable
Keywords :
optimisation; parallel processing; queueing theory; scheduling; stability; arrival times; capacity buffer; job allocation; job scheduling; maximal throughput; parallel processing systems; processing times; queueing theory; stability; Automatic control; Buffer storage; Concurrent computing; Parallel processing; Processor scheduling; Queueing analysis; Resource management; Stability; Throughput; Time factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/CDC.1990.203568
Filename :
203568
Link To Document :
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