ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data

Vol. 3, No. 1, Mar. 2019

An Efficient SDN-based Edge Computing Framework for Computation Offloading and Service Augmentation | Miscellaneous

Ting Wang a,, Yangzhou Wang b
a East China Normal University, Shanghai, China
b Chongqing University, , China

Highlights and Novelties


1. In this paper, an effective and practical architectural solution for edge computing, named SDEC, is proposed.

2. SDEC is a SDN-based (software defined network) architecture for Computation Offloading and Service Augmentation at the network edge.

3. SDEC offers numerous benefits for latency sensitive services or real time interaction applications.


Manuscript Abstract
As the explosion of mobile devices and Internet of Things (IoT) applications, the traditional mobile cloud solution is already not efficient enough. Whats more, the 5G is coming, and the era of zettabytes is upon the world in the near future, it will be impractical to send all the huge amount of data to remote cloud data center across the whole transport network to be processed, which will expose a big challenge to the traffic burden of network core. Consequently, an effective and practical architectural solution for edge computing, named SDEC, is proposed to solve these issues. The key principle of the SDEC is to geographically distribute computation resources at the network edge, and push the resources closer to end users and limit the traffic only within the edge network without traversing to the network core. This offers numerous benefits for latency sensitive services or real time interaction applications. Moreover, SDEC can better support mobility and location-aware services.

Keywords
 SDN   Edge Computing   Computation Offloading   IoT 

Copyright
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.

Cite this manuscript as
Ting Wang, Yangzhou Wang, "An Efficient SDN-based Edge Computing Framework for Computation Offloading and Service Augmentation," ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB), vol. 3, no. 1, pp. 1-3, Mar. 2019.

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