A Novel Green Service Level Agreement for Cloud Computing using Fuzzy Logic

Cloud computing has several features including elasticity and economy of scale that have allowed it to find several uses in scientific, economic and industrial fields. However, the Cloud model relies heavily on the architecture of the data centers that host the Cloud services. To date, these data centers consume huge quantities of electrical energy in order to ensure the operation of both computer equipment and auxiliary equipment such as cooling systems. In order to reduce the environmental and economic impact of this energy consumption, several initiatives have emerged especially in the context of Green computing. Through this article, we propose a Cloud architecture that includes a service level agreement negotiation module based on the concept of fuzzy logic. The proposed solution aims to introduce a virtual machine consolidation policy in order to complete a global three-tier architecture. The final solution includes different modules of load balancing and scheduling based on fuzzy logic, metaheuristic and Map reduce algorithms in order to optimize both energy efficiency, response time and cost of Cloud services.