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

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.

[1]  Abbas Jamalipour,et al.  An Epidemic P2P Content Search Mechanism for Intermittently Connected Mobile Ad Hoc Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[2]  Norman F. Davies.  A testing and feedback project using a desk computer , 1973 .

[3]  David Mazières,et al.  Kademlia: A Peer-to-Peer Information System Based on the XOR Metric , 2002, IPTPS.

[4]  Ren-Hung Hwang,et al.  A location-aware P2P information sharing system in Bluetooth-based mobile ad hoc network , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[5]  Nitin H. Vaidya,et al.  Efficient content location in wireless ad hoc networks , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.

[6]  Sea Ling,et al.  An Adaptive Mediation Framework for Mobile P2P Social Content Sharing , 2012, ICSOC.

[7]  Jörg Ott,et al.  The ONE simulator for DTN protocol evaluation , 2009, SIMUTools 2009.

[8]  Rajkumar Buyya,et al.  Cloud Computing Principles and Paradigms , 2011 .

[9]  Ralf Steinmetz,et al.  A Peer-to-Peer Recommender System with Privacy Constraints , 2009, 2009 International Conference on Complex, Intelligent and Software Intensive Systems.

[10]  Emin Gün Sirer,et al.  Beehive: O(1) Lookup Performance for Power-Law Query Distributions in Peer-to-Peer Overlays , 2004, NSDI.

[11]  Christian Bonnet,et al.  Resource discovery in Internet of Things: Current trends and future standardization aspects , 2015, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT).

[12]  Mark Handley,et al.  A scalable content-addressable network , 2001, SIGCOMM '01.

[13]  Sea Ling,et al.  Trustworthy service discovery for mobile social network in proximity , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).