Towards Autonomic Detection of SLA Violations in Cloud Infrastructures
Cloud computing has become a popular paradigm for implementing scalable on-demand computing. Self-manageable Cloud infrastructures are required in order to comply with users' requirements defined by Service Level Agreements (SLAs) and to minimize user interactions with the computing environment. Thus, adequate SLA monitoring strategies and timely detection of possible SLA violations represent challenging research issues. This paper presents the Detecting SLA Violation infrastructure-DeSVi architec-ture, which aims at detecting SLA violations through resource monitoring in Cloud computing infrastructures. Based on the user requests DeSVi al-locates computing resources for a requested service and arranges its deploy-ment on a virtualized environment.