A combined evaluation of performance and reliability for degradable systems
SIGMETRICS '81 Proceedings of the 1981 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Performability models and solutions
Performability models and solutions
Operational models for the evaluation of degradable computing systems
SIGMETRICS '82 Proceedings of the 1982 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Performance-Related Reliability Measures for Computing Systems
IEEE Transactions on Computers
Performability Evaluation of the SIFT Computer
IEEE Transactions on Computers
Closed-Form Solutions of Performability
IEEE Transactions on Computers
On Evaluating the Performability of Degradable Computing Systems
IEEE Transactions on Computers
Performance analysis of future shared storage systems
IBM Journal of Research and Development
Analysis of Performability for Stochastic Models of Fault-Tolerant Systems
IEEE Transactions on Computers
Modeling and analysis of computer system availability
IBM Journal of Research and Development
Performability Analysis: Measures, an Algorithm, and a Case Study
IEEE Transactions on Computers - Fault-Tolerant Computing
Performability Analysis of Distributed Real-Time Systems
IEEE Transactions on Computers
On Evaluating the Cumulative Performance Distribution of Fault-Tolerant Computer Systems
IEEE Transactions on Computers
Calculating transient distributions of cumulative reward
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
A new methodology for calculating distributions of reward accumulated during a finite interval
FTCS '96 Proceedings of the The Twenty-Sixth Annual International Symposium on Fault-Tolerant Computing (FTCS '96)
A generalized formulation for the performability indicator
Computers & Mathematics with Applications
Second-order Markov reward models driven by QBD processes
Performance Evaluation
| Hi-index | 14.99 |
The performability of degradable heterogeneous computer systems containing k 1 types of components is considered. Previous analyses of such systems have been numerical in nature and yielded algorithms with either exponential complexity in the number of system states n, or polynomial in n with approximate truncations of infinite series. In this paper, a closed form expression for the performability of degradable heterogeneous systems is derived. Furthermore, an algorithm with polynomial complexity, O(kn3), is presented and applied to study the performability of a multiprocessor computer system.