Towards autonomic middleware-level management of QoS for IoT applications

Abstract

The Internet of Things is expected to bring large and promising spectrum of social goods in various domains. Several new challenges arise or are to be reconsidered within the IoT systems supporting these goods, among them the Quality of Service (QoS) issue. The goal of this paper is first to introduce our approach for an autonomic Middleware-level QoS management of IoT systems. As a contribution at the second maturity level of the autonomic computing paradigm such as defined by IBM, it is then to propose and validate, within an emulation testbed platform, a proof of concept-oriented architecture of a monitoring component allowing detecting QoS degradation symptoms. We also demonstrate the benefits that could be gained from simple network-inspired QoS-oriented adaptation actions.