An Adaptive PID Control for QoS Management in Cloud Computing System

With the growing demands of computing resources, cloud computing provides a cost-effective way to reshape the resources, such as CPU and memory for services. QoS (Quality of Service) is impacted by resource allocation. In order to fulfill the QoS requirements, it is necessary to provide sufficient resources for the services. Offering the high QoS with the low resource allocation becomes a key challenge of resource allocation in cloud computing. In this paper, we propose an adaptive PID (Proportional-Integral-Derivative) control based on FFRLS (Forgetting Factor Recursive Least Square) for QoS management that not only efficiently use resources but also ensures the QoS in real time.