A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
By Shuo Wang, Xing Zhang, Yan Zhang, L. Wang, Juwo Yang, Wenbo Wang. 2017
866 citations recorded by the source corpus.
As the explosive growth of smart devices and the advent of many new applications, traffic volume has been growing exponentially. The traditional centralized network architecture cannot accommodate such user demands due to heavy burden on the backhaul links and long latency. Therefore, new architectures, which bring network functions and contents to the network edge, are proposed, i.e., mobile edge computing and caching. Mobile edge networks provide cloud computing and caching capabilities at the edge of cellular networks. In this survey, we make an exhaustive review on the state-of-the-art research efforts on mobile edge networks. We first give an overview of mobile edge networks, including definition, architecture, and advantages. Next, a comprehensive survey of issues on computing, caching, and communication techniques at the network edge is presented. The applications and use cases of mobile edge networks are discussed. Subsequently, the key enablers of mobile edge networks, such as cloud technology, SDN/NFV, and smart devices are discussed. Finally, open research challenges and future directions are presented as well.
Subfields: Computer Networks and Communications
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In Computer Networks and Communications
- Khaled Ben Letaief
- Jun Zhang
- Kaibin Huang
- Changsheng You
- Yuyi Mao
- Madhusanka Liyanage
- Jiajia Liu
- Yan Zhang
Citations in the corpus
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- Resource Scheduling in Edge Computing: A Survey (2021, background): “Later, for the edge-cloud environment, they proposed another application placement policy [145], aiming to maximize the edge system’s profit and ensure the user’s QoE.”
- UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities (2018, background): “A detailed discussion on the mobile edge can be found in [48].”
- Federated Learning in Edge Computing: A Systematic Survey (2022, background): “[70] A MEC survey on computing, caching, and communications X X X X X X”
- Satellite Mobile Edge Computing: Improving QoS of High-Speed Satellite-Terrestrial Networks Using Edge Computing Techniques (2019, background): “Content Caching/Storage: The explosive growth of user data, especially multimedia data, has brought considerable stress on mobile networks [13].”
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- A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “In [27], emerging techniques of edge computing, caching, and communications (3C) in MEC are surveyed, showing the convergence of 3C.”
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- Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks (2019, background): “2876298 by computation-intensive applications, thus resulting in bottlenecks and making it challenging for the vehicles to ensure the required level of quality of service (QoS) [1], [2].”
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- Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “1) Requirements: Computation offloading is the most prominent and widely discussed feature of MEC that empowers resource-constrained IoT devices with augmented computational capabilities [29], [33].”
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