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
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