Towards Service Evaluation And Ranking Model For Cloud Infrastructure Selection

Abstract

Cloud computing, comparatively a new computing paradigm is bringing revolution to Information Technology by offering on-demand publicly available desired computing resources to the cloud customers. As, there are multiple cloud service providers available in the market and are increasing exponentially, it becomes very difficult for customer to select the most appropriate option from the web repository based on his personalized quality requirements. Also, the dynamic nature of cloud services makes it even more difficult for customers to assess resource provider and its service quality ensured in Service Level Agreement. Currently no model exists that allow the customer to evaluate and rank service providers on their consistency in performance level. In this context, this paper presents Cloud Service Evaluation and Ranking Model (CSERM), which utilizes service measurement index, consistency checking and multiple criteria decision making techniques to evaluate service performance (cloud resource providers) based on user-defined requirements and generate ranked list from where the customer can select the top most ranked option for deploying their applications. Such a model can make significant impact on service performance and compel cloud providers to satisfy their promised quality of services. A case study in this paper describes the whole model implementation.