A Monolithic Approach for Effective Performance Analysis and Management in Clouds

Cloud computing is an emerging model of business computing. It distributes computing tasks in shared resource pools, which consist of many computers, so that various applications can access the cloud as they need. In computing, resource contention refers to a conflict over a shared resource between several components. Resource contention often negatively affects the performance of components competing for the resource. It is a common concern in cloud computing. Unmanaged resource contention in cloud computing environments can causes problems such as performance interference, service quality degradation and consequently service agreements violations. Performance management is an indispensable remedy solution for the mentioned challenges. Monolithic analysis and management of the performance from the cloud services perspective and different entities has not been studied in previous researches and most of the previous studies focus on algorithms and methods for specific applications and mostly, lack sufficient descriptions about management aspects of the performance. Due to the importance of this issue, this paper aims to make an in-depth investigation of this problem. In this paper, we propose a novel approach to monolithic management of the performance and its general requirements for clouds. The proposed approach enables service providers to realize different optimization methods and manage the performance for their offers and products. The experimental results demonstrate the effectiveness, flexibility and practicality of the proposed approach for effective performance management in different cloud service centers.