Modelling and Resource Scheduling approaches on Cloud Computing

Cloud computing is the dominant service delivery paradigm over the last decade. The rapid development of the Internet of Things (IoT)-based applications shifts the cloud model to more decentralized approaches, such as Edge Computing and Fog Computing. The resource allocation in such distributed environments must guarantee both the Quality of Service (QoS) requirements of each application and the optimal utilization of the underlying computing resources. Thus, the static resource allocation policies are not adequate to fulfill these objectives and lead to over or under-provisioning. On the other hand, control-theoretic approaches guarantee important system properties, such as stability. This presentation will present already proposed modeling and resource scheduling methodologies on cloud computing and the future challenges of this interesting research area.