Presenting a Method for Optimal Service Selection in Cloud Computing Environment Using Genetic Algorithm
Cloud Computing (CloCom) is one of the latest technologies to speed up and improve the quality of service delivery as well as system services being based on communication networks, including the Internet. An important point in this regard is that in CloCom, there is no need for the service recipients' awareness of infrastructure and specialized information provided by cloud service providers. This is the reason for using the term cloud. There are many challenges in terms of using CloCom, and one of the most important challenges concerns the selection of optimal service (C_SS) in this environment. Due to different conditions of CloCom's service providers, such as VM Price / hour and VM CPU_Virtual_Core, it is necessary to allocate more efficient C-SS to these service providers. For this purpose, the genetic optimization (GA) method for C_SS has been used. To this end, the genetic optimization (GA) method has been used for C_SS. Each service provider can be assigned a service based on the ability to perform cloud requests (C_SReq) using the design of the GA optimization method for C_SS among CloCom servers. The evaluation results indicated a decrease in average migration time and average response time in CloCom, which eventually has led to a higher C_SReq and an increase in the quality of service. The average decrease in response time and migration time in the C_GSS method was extracted and compared with randomized C_SS (C_RSS) and particle mass (C_PSS). The results indicated the reduction of the mentioned criteria C_GSS research methodology due to C_SS optimization in CloCom service providers.
How to cite: Karimi M & Saffari V. Presenting a Method for Optimal Service Selection in Cloud Computing Environment Using Genetic Algorithm . SPEC J ELECTRON COMPUT SCI 2020;6(1):1-2