Cloud Service Optimization Method for Multi-cloud Brokering

Abstract

Cloud brokering facilitates Cloud Service Users (CSUs) to find cloud services according to their requirements. In the current practice, Cloud Service Broker (CSB) selects the cloud services from multi-cloud environment according to Service Level Agreement (SLA) offered by Cloud Service Providers (CSPs). Difficulty in selecting cloud services from multiple CSPs is, there is no guarantee that CSPs deliver cloud services according to SLA offer. In our observation, it is found that most of the CSPs do not fulfill the service commitment mentioned in SLA agreement. It is necessary to be ensured that CSPs are delivering cloud services according to SLA commitment before recommending the cloud services to the CSUs. In this work, we propose a selection method to the CSUs considering both SLA commitment and service delivery by CSPs. As CSUs' requirements are independent to each other and different like minimum Cost for services, high Availability, high Performance, high Security etc., there is not a single optimum solution and there is not a single objective. To provide the best cloud services according to CSUs' requirements, we propose Pareto solutions that consider multiple criteria to provide the optimum set of solutions to the CSUs from multiple CSPs.