Virtualized SDN-Based End-to-End Reference Architecture for Fog Networking

Cloud Computing provides a distributed Internet based platform for data and application hosting such as Internet of Things (IoT), cloud applications and social applications. Despite increased use of cloud computing, there are serious issues due to inherent problems such as lukewarm reliability, lowgranularity location-awareness, and global view of the network and also dependency on the communication infrastructure for mobility support. Fog computing is a network based computing paradigm that allows essential parts of the computing processes to be moved to a point near the user, and hence emulating a locally provided service improving users quality of experience (QoE) in many dimensions such as response time and availability. The duty of fog networks is to connect each component of the fog architecture seamlessly. However, managing such a complex network, maintaining connectivity and providing on-demand services, particularly in large-scale applications of the Internet of Things (IoT), is so convoluted. Therefore, a new architecture is needed to deal with predicting and maintaining the connectivity graph of network, design distributed SDN system that meet the harsh requirement of fog computing, implement and manage VNFCs through the network, and orchestrate these components together. Hence, an integrated end-to-end SDN/NFV reference architecture by means of orchestration of integrated Cloud, Fog, and network resources has been proposed.

[1]  Mohsine Eleuldj,et al.  OpenStack: Toward an Open-source Solution for Cloud Computing , 2012 .

[2]  Raja Lavanya,et al.  Fog Computing and Its Role in the Internet of Things , 2019, Advances in Computer and Electrical Engineering.

[3]  Rajkumar Buyya,et al.  Fog Computing: Principles, Architectures, and Applications , 2016, ArXiv.

[4]  J. Wenny Rahayu,et al.  Mobile cloud computing: A survey , 2013, Future Gener. Comput. Syst..

[5]  Eui-nam Huh,et al.  Fog Computing and Smart Gateway Based Communication for Cloud of Things , 2014, 2014 International Conference on Future Internet of Things and Cloud.