DocumentCode :
2425178
Title :
Performance analysis of degradable multiprocessor systems
Author :
Islam, S.M.R. ; Ammar, H.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA
fYear :
1989
fDate :
22-24 March 1989
Firstpage :
109
Lastpage :
113
Abstract :
A method for performance evaluation of degradable multiprocessor systems with random failure and repair using hierarchical generalized stochastic Petri net (GSPN) model is presented. The failure and repair rates in a multiprocessor system are an order of magnitude smaller than the rates of job arrival and completion; therefore, the GSPN model can be decomposed into a hierarchical sequence of aggregated subnets, each of which is valid at a certain time scale. These smaller subnets can be solved in isolation and their results combined to get the solution of the hole system. The model of the aggregated network has a product-form solution, so performance analysis in the presence of failure and repair can be carried out without the additional complexity of a fault-free model. A multiprocessor system is analyzed which is intractable using conventional solution techniques. The complexity of the time-scale decomposition technique is found to be same as fault-free model without any significant loss in the accuracy of the result.<>
Keywords :
Petri nets; multiprocessing systems; performance evaluation; aggregated subnets; completion; degradable multiprocessor systems; fault-free model; hierarchical generalized stochastic Petri net; hierarchical sequence; job arrival; performance evaluation; product-form solution; random failure; repair; time-scale decomposition; Availability; Concurrent computing; Degradation; Electric breakdown; Fault tolerant systems; Multiprocessing systems; Performance analysis; Probability distribution; Stochastic systems; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communications, 1989. Conference Proceedings., Eighth Annual International Phoenix Conference on
Conference_Location :
Scottsdale, AZ, USA
Print_ISBN :
0-8186-1918-x
Type :
conf
DOI :
10.1109/PCCC.1989.37370
Filename :
37370
Link To Document :
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