QoS estimation and selection of CSP in oligopoly environment for Internet of Things

Abstract

This work focuses on an automated selection of Cloud Service Provider (CSP) for a naive end-user in an IoT scenario. In traditional cloud computing model, the end-users are knowledgeable about the Virtual Machines (VMs) and are technically aware of their requirements in terms of the computing cores, processing abilities, and storage requirements. In case of IoT, the users are envisioned to be widespread from naive, unsophisticated people to even objects or things who are devoid of the required knowledge and expertise. Further, in IoT technology, multiple Cloud Service Providers (CSPs) may possess the potential of serving an IoT application. Therefore, it is required for the end-user to judiciously select a single CSP based on the maximum obtainable Quality of Service (QoS) from a CSP. This work proposes an algorithm QoS based Automated Selection of CSP (QASeC) for automated selection of a CSP from a set of nominated CSPs based on the maximum achievable QoS. The work identifies and models the QoS parameters for every CSP and defines a QoS utility metric for each CSP. Based on the metric, the work proposes an optimization for selection of the appropriate CSP and the cloud gateway associated with it. From the obtained results, we infer the suitability of QASeC in real-life IoT scenarios.