Title: Reliability Analysis in Distributed Systems Using Fuzzy Set Theory
Abstract: Distributed systems can be modelled as a collection of different
objects (resources) that are interconnected via a communication
network and controlled by a distributed operating system. Amoeba,
Athena, Mach and V System are some examples of real world distributed
systems. They provide cost-effective means for resource sharing
and extensibility.
This study focuses on the reliability issue in distributed systems and
develops an efficient algorithm for evaluating reliability using fuzzy
set theory. With processing elements and communication links having
each a certain probability of being operational, there is a certain probability
with the extent that it can be successfully executed, also the
distribution of the programs and data files affect a program?s reliability
as well as the overall system?s reliability.
Distributed System?s Reliability (DSR), which is a reliability measure
of the entire system, is defined as the probability that all distributed
programs of a given set can run successfully without any fault or
error. A unified approach based on a graph model has been developed
to generate all the required subgraphs for successful execution of all
the programs under consideration. These subgraphs are then used to
evaluate the reliability using any terminal reliability algorithm based
on path enumeration.
Publication Year: 2001
Publication Date: 2001-01-01
Language: en
Type: article
Indexed In: ['crossref']
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