Towards a client-side QoS monitoring and assessment using Generalized Pareto Distribution in a cloud-based environment

Recently, cloud computing and cloud-based services have been gaining a lot of momentum due to their cost effectiveness. Assuring Quality-of-Service (QoS) guarantees to the cloud´s mobile clients is an important and unavoidable problem especially for delay sensitive application like VoIP. In this paper, we propose a novel approach for the early detection of cloud service degradations. The proposed algorithms employ the Generalized Pareto Distribution (GPD) approach to converge to a precise QoS model based on collected delay measurements from the cloud´s mobile clients. Our experimental results demonstrate the usefulness of the proposed techniques and their ability to perform early detection of performance degradation of the cloud´s infrastructure and its hosted services.