TSLA: Turing based service level agreement assessment model over diverse cloud deployments

Abstract

Cloud services are gaining popularity with times. Service level agreement (SLA) serves a basic understanding between the clients and cloud service providers (CSP). Ensuring secured and adequate service is a basic need of the customers. In this work a set of compliance parameters for cloud service level agreement is identified. A generic rule base is designed to empower the process with an automated model. Finally a Turing model has been developed for automated monitoring and assessment of service level agreement between cloud service provider and cloud client. This generic model is suitable for different cloud deployment models and attuned with WS-agreement set.