Openness in Fog Computing for the Internet of Things

Abstract

Fog computing is a promising technology for global-scale Internet of Things (IoT) applications as it allows moving resources (computing, storage, networking) close to IoT devices, thus helping to reduce communication latency, network load, energy consumption and operational cost. In order to realize these advantages, application and management services provided by fog landscape should be flexibly implemented. This paper investigates the “Openness” in fog computing and proposes a suitable scheme where the “Openness” can be conveniently implemented in fog nodes. We applied the proposed mechanism to a real-world application, namely the traffic light optimization (TLO) problem, to validate its effectiveness and feasibility. The evaluation results reveal the effectiveness of the proposed approach.