4.7 Article

Dynamic fog-to-fog offloading in SDN-based fog computing systems

Publisher

ELSEVIER
DOI: 10.1016/j.future.2020.12.021

Keywords

Fog computing; Edge computing; Software defined networking; SDN; Computation offloading; Fog orchestrator; QoS; Bandwidth guarantee

Funding

  1. National Research Foundation of Korea (NRF) - Korea government (MSIT) [NRF-2019R1F1A1059408]
  2. Institute of Information & Communications Technology Planning & Evaluation (IITP), Republic of Korea - Korea government (MSIT) [2018-0-00387]
  3. Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2018-0-00387-004] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This paper proposes a dynamic offloading service among fog nodes for an SDN-based fog computing system, aiming at selecting the optimal offloading node and providing end-to-end bandwidth guarantee. The proposed solution outperforms traditional approaches in terms of throughput and request response time.
Fog computing is a promising paradigm aimed at reducing latency and network traffic between end devices and cloud servers. In fog computing systems, a fog node can be overloaded by an increased number of requests from end devices. In this situation, an efficient offloading mechanism among fog nodes is necessary to meet the requirements of fog computing. Software Defined Networking (SDN) has become the de facto standard for future network infrastructures, including fog computing systems. In this paper, we propose a dynamic offloading service among fog nodes for an SDN-based fog computing system that aims at selecting an optimal offloading node and assisting the offloading path by providing an end-to-end bandwidth guarantee based on SDN technology. The proposed solution outperforms traditional approaches without SDN technology in terms of both throughput and request response time by selecting the appropriate offloading node using current computational and network resource information and providing a reliable end-to-end path. (C) 2020 Elsevier B.V. All rights reserved.

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