Distributed program reliability analysis
IEEE Transactions on Software Engineering
A Survey of Techniques for Synchronization and Recovery in Decentralized Computer Systems
ACM Computing Surveys (CSUR)
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
ACM SIGOPS Operating Systems Review
Hierarchical Modeling of Availability in Distributed Systems
IEEE Transactions on Software Engineering
On Distributed Computing Systems Reliability Analysis Under Program Execution Constraints
IEEE Transactions on Computers
Reliability Analysis of Distributed Systems Based on a Fast Reliability Algorithm
IEEE Transactions on Parallel and Distributed Systems
Monte Carlo simulation-based algorithms for estimating the reliability of mobile agent-based systems
Journal of Network and Computer Applications
A memetic algorithm for reliability-based dynamic scheduling in heterogeneous computing environments
PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
A probability model for reconstructing secret sharing under the internet environment
Information Sciences: an International Journal
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Reliability of a distributed processing system is an important design parameter that can be described in terms of the reliability of processing elements and communication links and also of the redundancy of programs and data files. The traditional terminal-pair reliability does not capture the redundancy of programs and files in a distributed system. Two reliability measures are introduced: distributed program reliability, which describes the probability of successful execution of a program requiring cooperation of several computers, and distributed system reliability, which is the probability that all the specified distributed programs for the system are operational. These two reliability measures can be extended to incorporate the effects of user sites on reliability. An efficient approach based on graph traversal is developed to evaluate the proposed reliability measures.