Mobile Edge Computing

By Yan Zhang. 2021

255 citations recorded by the source corpus.

Mobile edge computing is a promising paradigm that brings computing resources to mobile users at the network edge, allowing computing-intensive and delay-sensitive applications to be quickly processed by edge servers to satisfy the requirements of mobile users. In this chapter, we first introduce a hierarchical architecture of mobile edge computing that consists of a cloud plane, an edge plane, and a user plane. We then introduce three typical computation offloading decisions. Finally, we review state-of-the-art works on computation offloading and present the use case of joint computation offloading.

Subfields: Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Wenxiu Ding
2. Song Guo
3. Peng Li
4. Zheng Yan
5. Laurence Tianruo Yang
6. Samee Ullah Khan
7. Aiman Erbad

Citations in the corpus

• A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “With abundant computing and storage resources, cloud computing can help users reduce heavy computation and storage burdens [121].”
• Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers (2018, background): “[140] presented a detailed survey on secuity threats and challenges on mobile edge, and fog computing.”
• A Survey of Incentive Mechanism Design for Federated Learning (2021, background): “Unlike [30] in which only customers (clients) have reputation records, Rehman et al.”
• A review of applications in federated learning (2020, background): “, Liu, L. and Ma, H. (2018). Federated Region-Learning: An Edge Computing Based Framework for Urban Environment Sensing.”
• A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, unknown): “(i) wireless access between edge computing nodes and IoT devices; (ii) wireless/fiber/cable backhaul access between edge node and cloud; (iii) communication among MEC servers [172].”
• Computation Offloading Toward Edge Computing (2019, background): “More specifically, MEC defines a collection of architectures, technologies, platform APIs and interfaces, and business models associated with RAN for edge computing [22], [24].”