QoS management mechanisms for Enhanced Living Environments in IoT

TL;DR

This paper proposes dynamic QoS management mechanisms at the Middleware level for IoT systems to enhance living environments, leveraging Autonomic Computing for self-adaptation and improved service quality.

Contribution

It introduces novel autonomic QoS management mechanisms specifically designed for Middleware in IoT, addressing QoS degradation in Enhanced Living Environments.

Findings

Mechanisms effectively correct QoS degradation in IoT middleware

Demonstrated benefits in a concrete Enhanced Living Environment case

Supports self-adaptation through Autonomic Computing principles

Abstract

The Internet of Things (IoT) paradigm is expected to bring ubiquitous intelligence through new applications in order to enhance living and other environments. Several research and standardization studies are now focused on the Middleware level of the underlying communication system. For this level, several challenges need to be considered, among them the Quality of Service (QoS) issue. The Autonomic Computing paradigm is now recognized as a promising approach to help communication and other systems to self-adapt when the context is changing. With the aim to promote the vision of an autonomic Middleware-level QoS management for IoT-based systems, this paper proposes a set of QoS-oriented mechanisms that can be dynamically executed at the Middleware level to correct QoS degradation. The benefits of the proposed mechanisms are also illustrated for a concrete case of Enhanced Living Environment.