An Efficient Web Service Selection for Scheduling in the Cloud to Enhance Quality of Services
Keywords:Chaos Theory; Storage; Cloud Computing; Encryption; Social Networks
The emergence of cloud computing has created a major revolution in the computational services and industry and network in the last decade. A large number of companies, followed by their users around the world, have discovered the features and benefits of this new technology. Advantages such as low maintenance costs and time savings in expanding and portable cloud computing. Nowadays, with the advent of various mobile social networks and the ever-increasing rise of users of such applications, we are facing an increase in traffic in data transmission networks, which is considered a serious problem for support companies of such programs. In addition to protecting the privacy and security of users, these companies should increase data transfer speeds. In this paper, an approach for optimizing the scheduling of web services in a cloud is presented, which, in addition to increasing processing speed, takes into account the privacy of users. The experiment results on the QWS data collection, which contains actual 360 web services, show that the proposed method works more efficiently than other methods, and in some cases more than 50% improvement in speed. It also introduces a chaotic encryption method that can be implemented in the cloud to improve the performance of the cloud significantly.
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