Autonomic management of cloud-based systems: The service provider perspective

The complexity of Cloud systems poses new infrastructure and application management challenges. One of the common goals of the research community, practitioners and vendors is to design self-adaptable solutions capable to react to unpredictable workload fluctuations and changing utility principles. This paper analyzes the problem from the perspective of an application service provider that uses a cloud infrastructure to achieve scalable provisioning of its services in the respect of QoS constraints. We designed and implemented two autonomic cloud resource management architectures running five different resource provisioning algorithms. The implemented testbed has been evaluated under a realistic workload based on Wikipedia access traces