DYNAMIC WORKLOAD PERFORMANCE OPTIMIZATION MODEL FOR MULTIPLE-TENANCY IN CLOUD SYSTEMS

Cloud entails the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. With this concept it's easy to reduce complexity for the clients as they don't have to handle installations and other things but just pay and to the provider a way to earn on a pay-as-use basis. Despite the concept being advantageous it's faced with complexities on the basis of handling dynamic workloads for multiple tenant systems. In this paper we propose a many-to-many entity relationship to handle the complexities of architectural design for the above mentioned types of systems.