Chapter 7 - A Hybrid Computational Intelligence Decision Making Model for Multimedia Cloud Based Applications

Abstract

Due to technological advancement, clouds are becoming an important platform for processing different multimedia applications. These high performance environments emphasize the role of Information and Communication Technology (ICT) which is essential for the survival of global business to achieve better system design and operational objectives. The development of cloud computing represents a fundamental change in cloud and ICT services for multimedia applications with more functionality and increasing number of users. As multimedia data comprises of images, video, audio, text and these applications requires fast speed and large storage for transferring data, thus it is a crucial issue to choose best cloud services which meets all the requirements of the users for storing and managing multimedia data in heterogeneous mobile environment. The aim of this paper is to propose computational intelligence decision making model that can enable users to use cloud services during mobility accurately, cost effectively and in systematic way. So, this paper proposes a Hybrid Computational Intelligence Decision Making (HCIDM) model for multimedia cloud based services using Fuzzy Delphi Method (FDM) and Fuzzy Analytic Hierarchy Process (FAHP). FDM approach is used to select the list of different decision-making factors to solve the fuzziness of common understanding of different expert opinions. A FAHP approach is then proposed to determine the importance of decision making criteria's and to select the best cloud service for migrating large multimedia applications based on the predetermining weights of decision factors. In this paper, the FDM and FAHP are used as the hybrid computational intelligence decision making techniques for best cloud path selection and shows optimal results when it compared with existing techniques that uses AHP and Fuzzy TOPSIS method.