Hybrid eagle strategy for QOS-based cloud service composition

Abstract

Web Services are the collections of open protocols and standards used for exchanging data between applications and systems. Cloud computing is a prominent computer technology, and technical users are receiving most of the benefits from it as it is dispersing information technology based capabilities to the customers in terms of ‘web services’ with flexibility and ease of use. As the use of cloud computing grows on a daily basis, service deployment also improved on a daily basis. Cloud computing has made significant progress and has advanced to the next stage of growth by adding new technologies to fulfil the current demands of consumers where the consumers can make ease of using resources in the form of platform, software or infrastructure on demand without administrating the underlying intricacy of the technology. Nowadays, multiple services provided by cloud platforms with analogous efficacies are available to the users which can be attributed as Quality of Service (QoS) parameters. Selecting an optimal cloud service which can satisfy the consumers’ requirements is often found to be a tedious task and quiet challenging. Diverse metaheuristic has been put forward in resolving the problem. To address this problem, in this paper we proposed a Multi-Criteria Decision Making methodology with a technique Simple Additive Weighting (SAW) which can help customer in determining the most preferable cloud service among the pool of existing service according to their satisfaction. As the same time we propose an enhanced Eagle Strategy with Whale Optimization (ESWOA) methodology to maintain equilibrium among local as well as global optimum. This system can recommend time-saving dependable trustworthy cloud services from a pool of accessible cloud services.