Proactive Service Discovery in Fog Computing Using Mobile Ad Hoc Social Network in Proximity

Abstract

Emerging Internet of Things system utilizes heterogeneous proximity-based ubiquitous resources to provide various real-time multimedia services to mobile application users. In general, such a system relies on distant Cloud services to perform all the data processing tasks, which results in explicit latency. Consequently, Fog computing, which utilizes the proximal computational and networking resources, has arisen. However, utilizing Fog for real-time mobile applications faces the new challenge of ensuring the seamless accessibility of Fog services on the move. This paper proposes a framework for proactive Fog service discovery and process migration using Mobile Ad hoc Social Network in proximity. The proposed framework enables Fog-assisted ubiquitous multimedia service provisioning in proximity without distant Cloud services. A proof-of-concept prototype has been implemented and tested on real devices. Additionally, the proposed Fog service discovery and process migration algorithm have been tested on the ONE simulator.