Toward Service Placement on Fog Computing Landscape

This paper proposes an approach to optimize service placement on Fog landscape in the context of the Internet of Things (IoT). A multi-tier fog computing architecture that supports IoT service provision is devised. Based on this architecture, a novel service placement mechanism that optimizes service decentralization on Fog landscape leveraging context-aware information such as location, time, quality of services (QoS) has been proposed. An experiment has been conducted to evaluate the proposed approach with several simulations applying to smart grid applications. The results reveal the effectiveness of the proposed approach in terms of reducing latency, energy consumption, and network load in comparison with the conventional cloud computing model.