A NEW APPROACH FOR RELIABILITY ENHANCEMENT IN FDDI NETWORK

Main Article Content

VIBHOR SHARMA KALPANA SHARMA

Abstract

Predicting the failure or predicting fault in network components plays a important role in data transmission in a computer network. Network quality is an evergreen issue and it is one of essential t part in the development of any communication system. Defect-Prediction of a communication system is the probability that the communication system failed to achieve its target. The main objective of given paper is to Predict various parameter of network as predictors of communication system and, therefore, determine whether these parameters can be used as reliable network components for communication systems. In this paper various possibilities of faults or defects e.g. lost token, link failures are considered, and using all of these defect detection and reliability mechanisms are studied This early decision of defect-prediction in a Network components enables various experts to concentrate their time, efforts and resources on the defects and part of Network system which is under consideration. In the given paper, we Explains the way to calculate the various parameters to illustrate how defects-proneness detection can be performed. Error free data after complete communication can be used to predict quality of communication using various tools. It is one of the important parts to ensure quality in the Communication System. The main objective of this research paper is to Proposes a method for identifying defects using various parameters and also to suggest a combination of parameters by using which the given network can be declared as more reliable network. In this experimental process we have used Op-Net as simulator for data validation. The repository of OP-Net contains various parameters and error parameters at various levels. In the given paper we have proposed a new way to transfer data using various hardware modules. This validation of data used for enhance reliability of a communication system.

Article Details

Section
Articles