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
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a East China Normal University, Shanghai, China b Chongqing University, , China
Prof. Ting Wang
Corresponding Author Affiliation: East China Normal University, Shanghai, China Tel: 13681755836 E-mail: twangah@connect.ust.hk Prof. Ting Wang's publications in ICSES
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This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publicationcall_made |
Retraction Note by the Editor-in-Chief
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 and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
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, vol. 3, no. 1, pp. 1-3, Mar. 2019.
For External Scientific Databeses
--BibTex--
@article{al._253 title="An Efficient SDN-based Edge Computing Framework for Computation Offloading and Service Augmentation", author="Ting Wang", author="Yangzhou Wang", journal="ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB)", volume="3", number="1", pages="1-3", year="2019", month="03", day="30", publisher= "International Computer Science and Engineering Society (ICSES)", doi="", url="http://www.i-cses.com/files/download.php?pID=253"}
--EndNote--
%0 Journal Article %T An Efficient SDN-based Edge Computing Framework for Computation Offloading and Service Augmentation %A Ting Wang %A Yangzhou Wang %J ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB) %V 3 %N 1 %P 1-3 %D 2019 %I International Computer Science and Engineering Society (ICSES) %U http://www.i-cses.com/files/download.php?pID=253 %8 2019-03-30 %R %@ 2717-0047
--Dublin--
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