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Informatika i Ee Primeneniya [Informatics and its Applications], 2012, Volume 6, Issue 3, Pages 99–106
(Mi ia222)
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Papers to the reports presented at the XXIX International Seminar on Stability Problems for Stochastic Models (Svetlogorsk Kaliningrad region, Russia, 10–16 October 2011)
Stochastic models of multiprocessor systems: stability and moment properties
E. V. Morozovab, A. S. Rumyantseva a Institute of Applied Mathematical Research, Karelian Research Centre, RAS, Petrozavodsk
b Petrozavodsk State University
Abstract:
The basic models of multiprocessor systems in which each job requires a random number of processors have been studied. A new model of such system is proposed and studied, where, for a given job, all processing times are identical. This assumption reflecting real service process makes the analysis of the system more difficult. To investigate the model, some minorant and majorant (classical) systems are constructed, which allow, for a few important particular cases, to obtain both stability conditions and the moment properties of the original stationary workload process.
Keywords:
multiprocessor systems; random number of processors; identical processing times; stability conditions; moment properties; stationary workload; high performance cluster.
Citation:
E. V. Morozov, A. S. Rumyantsev, “Stochastic models of multiprocessor systems: stability and moment properties”, Inform. Primen., 6:3 (2012), 99–106
Linking options:
https://www.mathnet.ru/eng/ia222 https://www.mathnet.ru/eng/ia/v6/i3/p99
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Statistics & downloads: |
Abstract page: | 374 | Full-text PDF : | 110 | References: | 51 | First page: | 1 |
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