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Modelling and Analysis of Multi-objective Service Selection Scheme in IoT-Cloud Environment
Chinu Singla, Nitish Mahajan, Sakshi Kausha, Amandeep Verma,
Published in Springer International Publishing
Volume: 14
Pages: 63 - 77
Internet of Things (IoT) is a heterogeneous ubiquitous network based upon modern computational intelligent techniques. A large scale IoT environment composed of thousands distributed entities and a number of multimedia smart devices. In recent years, due to the improvement of popularity and capability of smart mobile devices, Mobile Cloud Computing (MCC) gains a considerable attention in Internet of Things (IoT) environment. As there are variety of clouds that provides same services, it becomes quite difficult for users to choose an ideal cloud from a variety of clouds for migrating computationally intensive applications. So, selecting the optimal cloud among multiple alternatives which saves resource availability and execution time is a Multi-Criteria Decision Making (MCDM) issue. This chapter introduces an assessment model based on Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) which helps the users to select an optimal cloud where uncertainty and subjectivity are parameterized using triangular fuzzy members and is handled by using linguistic values. The proposed computational intelligence decision making model enables decision makers to better understand the whole evaluation process and thus provides more accuracy, systematic and efficient decision support tool. © Springer International Publishing AG 2018.
About the journal
JournalData powered by TypesetCognitive Computing for Big Data Systems Over IoT Lecture Notes on Data Engineering and Communications Technologies
PublisherData powered by TypesetSpringer International Publishing
Open Access0