A View of Fog Computing from Networking Perspective

With smart devices, particular smartphones, becoming our everyday companions, the ubiquitous mobile Internet and computing applications pervade people's daily lives. With the surge demand on high-quality mobile services at anywhere, how to address the ubiquitous user demand and accommodate the explosive growth of mobile traffics is the key issue of the next generation mobile networks. The Fog computing is a promising solution towards this goal. Fog computing extends cloud computing by providing virtualized resources and engaged location-based services to the edge of the mobile networks so as to better serve mobile traffics. Therefore, Fog computing is a lubricant of the combination of cloud computing and mobile applications. In this article, we outline the main features of Fog computing and describe its concept, architecture and design goals. Lastly, we discuss some of the future research issues from the networking perspective.

[1]  Mahadev Satyanarayanan,et al.  Cloudlets: at the leading edge of mobile-cloud convergence , 2014, 6th International Conference on Mobile Computing, Applications and Services.

[2]  Mehdi Bennis,et al.  Living on the edge: The role of proactive caching in 5G wireless networks , 2014, IEEE Communications Magazine.

[3]  Jim Esch,et al.  Software-Defined Networking: A Comprehensive Survey , 2015, Proc. IEEE.

[4]  Mahadev Satyanarayanan,et al.  The case for cyber foraging , 2002, EW 10.

[5]  Paramvir Bahl,et al.  The Case for VM-Based Cloudlets in Mobile Computing , 2009, IEEE Pervasive Computing.

[6]  Bengt Ahlgren,et al.  A survey of information-centric networking , 2012, IEEE Communications Magazine.

[7]  Max Mühlhäuser,et al.  Upgrading Wireless Home Routers for Enabling Large-Scale Deployment of Cloudlets , 2015, MobiCASE.

[8]  Ivan Stojmenovic,et al.  An overview of Fog computing and its security issues , 2016, Concurr. Comput. Pract. Exp..

[9]  Yuezhi Zhou,et al.  Transparent Computing: A New Paradigm for Pervasive Computing , 2006, UIC.

[10]  Jiming Chen,et al.  VTube: Towards the media rich city life with autonomous vehicular content distribution , 2011, 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[11]  Gang Peng,et al.  CDN: Content Distribution Network , 2004, ArXiv.