Load balancing issue in cloud services selection by using MCDA and Markov Chain Model approaches

Abstract

In this paper, we investigate the cloud service selection model by taking into account the load-balancing across different clouds. Indeed, a number of service providers offer similar services at various prices and performance levels which made a real decision -making problem in a service selection. This problem occurs in a multi cloud environment when we need to select a service by taking into consideration the preference of users (minimizing both cost and response time) and the requirement of the system (load balancing between clouds). In this work, we present our solution which allows to select a cloud service by taking into account the preferences of the user and also which allows to balance the load between different clouds. The proposed solution is based on the MCDA: Multi Criteria Decision Analysis and the Markov Chain Model.