Catalyzing Cloud-Fog Interoperation in 5G Wireless Networks: An SDN Approach
Peng Yang, Ning Zhang, Yuanguo Bi, Li Yu, Xuemin (Sherman) Shen

TL;DR
This paper proposes an SDN-enabled framework for seamless cloud-fog interoperation in 5G networks to enhance quality of experience and optimize network resources, supported by case studies.
Contribution
It introduces a novel SDN-based framework that facilitates cloud and fog computing integration in 5G, addressing latency and resource management challenges.
Findings
Framework improves latency and resource utilization
Case studies demonstrate feasibility and advantages
Identifies future research directions
Abstract
The piling up storage and compute stacks in cloud data center are expected to accommodate the majority of internet traffic in the future. However, as the number of mobile devices significantly increases, getting massive data into and out of the cloud wirelessly inflicts high pressure on the bandwidth, and meanwhile induces unpredictable latency. Fog computing, which advocates extending clouds to network edge, guarantees low latency and location-aware service provisioning. In this article, we consider fog computing as an ideal complement rather than a substitute of cloud computing, and we propose a software defined networking (SDN) enabled framework for cloud-fog interoperation, aiming at improving quality of experience and optimizing network resource usage. Two case studies are provided to illuminate the feasibility and advantage of the proposed framework. At last, potential research…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Caching and Content Delivery · Opportunistic and Delay-Tolerant Networks
