A Improved Software Architecture For Supervising The Fidelity Of Distributed Systems

Abstract

This paper represents  the challenge  of software architecture according to fidelity prediction. In a distributed computing environment a improved statistical model is used for unearthing the most  suitable algorithms corresponding to performance needs  for each specific software application. The proposed technique is based on a variant chain of automatic data collection, which has provided  us the possibility to adjust, during the execution, the mechanism of fault management.  We propose a monitoring scheme with high degree of dynamism and docility . In this fidelity  scheme we define a specific library for file accesses and conversation so as to keep track of files and communication usage. The technique imbibes a self-contained architecture for distributed systems, which allows us to supervise the collection of the statistical data and to support the execution of the applications in a non-reliable operational environment. The main benefit  of the proposed technique is that it provides us the chance to constitute the software architecture as per  the most up to date  requirements.