Abstract

Observing last decades of emerging paradigms in technology, distributed system has played a significant role in new generation applications. Distributed systems in contrast with web services have paved a recognizable strategy for software development across the software industries. Web services participated in next generation application development through cross domain integration of targeted functionalities. Web services became an important component for the software generation globally by lay down on the principles of Service Oriented Architecture (SOA). SOA frames the casting of web services from independent developers in a single module keeping in consideration the Quality of Service constraint such as cost, response time and availability etc. On developing an application with the help of independent web services there is always a chance of service failure, which may directly or indirectly lead to the break in service supply by the overall integration. In such situations there may be the necessity to replace these failed services in spite of redeveloping a new application. Through this paper we are proposing an efficient algorithm for handling such run time service failures to support the system working. As configuring a new system in such failures is very expensive and a tedious task to repeat, this algorithm will offer the strategy to replace only the faulty services from the service set, resuming the services in continuity.

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