A Proposal of a Simulation-Based Approach for Service Level Agreement in Cloud
Clouds offer resources as services, which are charged on the basis of their actual usage. An approach that is currently spreading, to face possible problems linked to a low quality of service offered, is the adoption of Service Level Agreements (SLAs). In this paper we propose the adoption of a simulation-based approach for supporting a framework in charge of SLA management in cloud applications. The idea stems from the consideration that to face the inevitable impact on QoS of the cloud elasticity, it is necessary to evaluate in a predictive way the performance properties of the many different configurations among which the automatic cloud management can choose to allocate resources to customers. This paper proposes the architecture of the framework for SLA management in clouds, identifying the requirements implied by the simulation to be performed and suggesting the adoption of a simulation engine that fits with the proposed requirements.
In the overall ownership cost of enterprise system, the maintenance cost consists of a major percentage. During the lifetime of an enterprise system, process customization is the most frequent maintenance efforts. However, current processing method has limited scalability and efficiency. In this case study, we explained how a scalable and efficient customization processing method was implemented. This method used the carbon emission trading mechanism to facilitate the cost benefit analysis of customization request. It also used distributed processing principle to improve the overall processing efficiency. Feedback from a pilot implementation in a large manufacturer included.