期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：10
出版社：Journal of Theoretical and Applied
摘要：The paradigm in which Information Technology (IT) application is provided as a service is referred to as cloud computing. It enables the users to make commercialized use of computation, storage, data and services across the world. The security of this model is questionable despite the fact that several potential gains can be achieved through cloud computing and this deters the adoption of the cloud computing model. One of the main tasks that is performed in cloud computing is Job scheduling. This not only improvises the working of the cloud environments but also enables achieving maximum profit. Due to its large solution space and the large amount of time required to find an optimal solution, Scheduling is a part of problem category known as Non-deterministic Polynomial (NP)-hard problem. This work proposes the usage of fuzzy logic as well as optimized rule selection for cloud scheduling. A fuzzy logic system that maps the input space into an output space using a list of if-then statements referred to as rules is known as the fuzzy inference system. Here Stochastic Diffusion Search (SDS) algorithm based fuzzy rule selection is proposed. The SDS as the basis of the approach and modified it with the aid of fuzzy theory to assign jobs to the most suitable resources. It has been shown that the suggested technique helps to achieve better performance than fuzzy logic, as per experimental outcomes.
