Evaluation of Service Time in DCS using Fuzzy and Clustering Technique
Anju Khandelwal, Avanish Kumar · 2020 International Conference on Computational Performance Evaluation (ComPE) · 2020
Because of the constant development in information expertise and soft computing technology, Distributed Computing System (DCS) has become most demandable areas of research at present. DCS have the capability to improve performance and share resources. It consists of a limited register nodes that make messages communicable to each other through a transient structure. The development of novel technologies in information technology and communication technology leads to growth of DC systems. Task assignment is the critical process underlying DCS's. For appropriate use of the accessible computation power, tasks are thus required to be allocated to processors whose characteristics remain quite suitable for implementation on that processor. This paper examine a task assignment problem with fuzzy task and communication time i.e. FET and FCT, which is naturally more real and common. Because fuzzy execution time is impure, it has been renewed to a crisp number using the appropriate ranking method. In this research paper, the optimal impedance time of the system is achieved by the optimal assignment of functions based on the processor speed to the triangular FET and the triangular FCT. Here a serviceable model is developed using the K-means clustering technique for optimal impedance time. This research paper is an extension of reference [1] in which the task is linked to a fuzzy linked array to obtain the optimal value of the functions.