QoS analysis for cloud-based IoT data using multicriteria-based optimization approach
Jayakumar L. Chitra R.J. Sivasankari J. Vidhya S. Alimzhanova L. Kazbekova G. Kulambayev B. Kostangeldinova A. Devi S. Teressa D.M.
2022Hindawi Limited
Computational Intelligence and Neuroscience
2022#2022
This work explains why and how QoS modeling has been used within a multicriteria optimization approach. The parameters and metrics defined are intended to provide a broader and, at the same time, more precise analysis of the issues highlighted in the work dedicated to placement algorithms in the cloud. In order to find the optimal solution to a placement problem which is impractical in polynomial time, as in more particular cases, meta-heuristics more or less approaching the optimal solution are used in order to obtain a satisfactory solution. First, a model by a genetic algorithm is proposed. This genetic algorithm dedicated to the problem of placing virtual machines in the cloud has been implemented in two different versions. The former only considers elementary services, while the latter uses compound services. These two versions of the genetic algorithm are presented, and also, two greedy algorithms, round-robin and best-fit sorted, were used in order to allow a comparison with the genetic algorithm. The characteristics of these two algorithms are presented.
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Department of Computer Science and Engineering, National Institute of Technology, Tripura, Agartala, India
Department of Electronics and Communication Engineering, Velammal Institute of Technology, Tamilnadu, Chennai, India
Department of Electronics and Communication Engineering, Ultra College of Engineering and Technology, Tamilnadu, Madurai, India
Department of Information Technology, Saveetha Engineering College Thandalam, Tamilnadu, Chennai, India
Al-Farabi Kazakh National University, Almaty, Kazakhstan
the Department of Computer Sciences, C. T. S Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
International Information Technology University, Almaty, Kazakhstan
Kokshetau University Named Af Sh Ualijhanov, Kokshetau, Kazakhstan
Department of Computer Science Engineering, Mother Terasa College of Engineering and Technology, Tamil Nadu, Pudukkottai, India
Department of Chemical Engineering, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
Department of Computer Science and Engineering
Department of Electronics and Communication Engineering
Department of Electronics and Communication Engineering
Department of Information Technology
Al-Farabi Kazakh National University
the Department of Computer Sciences
International Information Technology University
Kokshetau University Named Af Sh Ualijhanov
Department of Computer Science Engineering
Department of Chemical Engineering
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