New performance measures for design and evaluation of real-time multiprocessors
Computer Systems Science and Engineering
Optimization criteria for checkpoint placement
Communications of the ACM
Optimization criteria for checkpoint placement
Communications of the ACM
Performance Measures for Multiprocessor Controllers
Performance '83 Proceedings of the 9th International Symposium on Computer Performance Modelling, Measurement and Evaluation
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
A Reservation-Based Algorithm for Scheduling Both Periodic and Aperiodic Real-Time Tasks
IEEE Transactions on Computers
A new fault-tolerant scheduling technique for real-time multiprocessor systems
RTCSA '95 Proceedings of the 2nd International Workshop on Real-Time Computing Systems and Applications
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Optimizing the design of real-time distributed systems is important since the systems are frequently critical to life. This optimization is a difficult problem, and heuristics and designer judgment are called for in the process. The chief cause of the difficulty is the large number of parameters under the designer's control which impact performance and life-cycle cost. We study the interplay between the more important parameters in this paper using two objective measures, i. e., the mean cost and the probability of dynamic failure in [6], [10]. Among these are the processor burn-in time and processor replacement policy. A central feature of this work is a look at how the application requirements affect the optimality of the distributed systems; indeed, the application requirements are an integral part of the analysis.