DocumentCode :
1387016
Title :
Scalability analysis in gracefully-degradable large systems
Author :
Najjar, Walid A. ; Gaudiot, Jean-Luc
Author_Institution :
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
Volume :
40
Issue :
2
fYear :
1991
fDate :
6/1/1991 12:00:00 AM
Firstpage :
189
Lastpage :
197
Abstract :
The scalability of large degradable homogeneous multiprocessors is analyzed. The objective is to assess the limitations, imposed by reliability considerations, on the number of processors. The analysis of the mean-time-to-failure and the mission-time shows that, for a given value of the coverage factor, there exists a value of the number of processors at which these measures are maximal. As the system size is increased beyond this value, the reliability of the system becomes a rapidly decreasing function of the number of processors. For computations with linear speed-up, the amount of reliable computational work is constant for large system-sizes. When the speed-up is not linear, this amount is a decreasing function of the number of processors. Therefore, for large system-sizes and same technology, increasing the number of processors results in a decrease of the average amount of reliable computational work the system can deliver. Graceful degradation in large fault-tolerant systems is not scalable
Keywords :
fault tolerant computing; multiprocessing systems; reliability theory; computational work; coverage factor; fault-tolerant systems; graceful degradation; homogeneous multiprocessors; large systems; mean-time-to-failure; mission-time; reliability; scalability; Availability; Computer networks; Degradation; Performance analysis; Performance evaluation; Power system reliability; Redundancy; Reliability theory; Scalability; Time measurement;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.87126
Filename :
87126
Link To Document :
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