DeSVi : An Architecture for Detecting SLA Violations in Cloud Computing Infrastructures

Cloud computing is a promising paradigm for the implementation of scalable on-demand computing infrastructures. Self-manageable Cloud infrastructures are required in order to comply with users’ requirements specified by Service Level Agreements (SLAs) on one hand and to minimize user interactions with the system on the other hand. Adequate SLA monitoring strategies and timely detection of possible SLA violations represent challenging research issues. In this paper we present DeSVi—an architecture for detecting SLA violations through resource monitoring in Cloud computing infrastructures. Based on the user requests DeSVi allocates necessary resources for a requested service and arranges its deployment on a virtualized environment. Resources are monitored using an efficient framework that is also capable of mapping low-level resources metrics to user-defined SLAs. The detection of possible SLA violations is based on the predefined service level objectives and we utilize knowledge databases to manage the SLA violations. Knowledge databases are implemented using techniques like case-based reasoning, where reactive actions are defined based on the past system experience. For the evaluation of our approach, we developed image rendering services, which exhibit heterogeneous workloads for investigating the optimal monitoring interval of SLA parameters. The achieved results show that our architecture is able to monitor and prevent SLA violations considering different costs, measurement intervals, and heterogeneous workloads.

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