Mobile Edge Computing: A Survey

By Nasir Abbas, Yan Zhang, Amirhosein Taherkordi, Tor Skeie. IEEE Internet of Things Journal, 2018

2,072 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e7f84b1d7f8378ffaadbf85c33bacc8bcd9e28dd

How researchers see this paper

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

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “The surveys in [17]–[19] presented a general overview of MEC on definitions, architectures, advantages, deployment scenarios and testbeds, and security and privacy issues.”
Deep Reinforcement Learning for Cyber Security (2019, methodology): “For example, ICT has been advanced with the innovations of software-defined network (SDN) [1], [2], cognitive radio network (CRN) [3], [4], cloud computing [5], (mobile) edge caching [6], [7], and fog computing [8].”
UAV Communications for 5G and Beyond: Recent Advances and Future Trends (2019, background): “Fortunately, MEC has recently emerged as a paradigm to tackle this issue [121].”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “[26] A comprehensive survey of relevant research and technological developments in the area of MEC.”
A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures (2019, methodology): “If edge computing is used, then a lot of data cleaning and aggregation can be done at the edge nodes and only the summarized data, if required, needs to be sent to the cloud [190].”
Reducing Offloading Latency for Digital Twin Edge Networks in 6G (2020, background): “number of mobile IoT devices offload computation tasks to edge servers [4], [5].”
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research (2018, neutral): “[240], [272], [276], [277], [345], [346], [350], [353]–[370].”
Blockchain for Internet of Things: A Survey (2019, background): “In this manner, the context-aware, latency-critical and less-computing-intensive tasks can be migrated from remote cloud servers to local MEC servers, thereby improving the response, privacy-preservation and context-awareness.”
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “Note that the terms fog computing and edge computing are interchangeable in some literature [19], [21] or the fog is treated as a part of the broader concept of edge computing [22].”
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “presented to provide considerable insights into edge computing and smart cities [24], [36]–[50].”
Vehicular Edge Computing and Networking: A Survey (2019, background): “omputation and storage resources are moved to proximity of users, by which latency can be greatly reduced and energy can be saved to a large extent. MEC literature has also seen several survey papers [25], [26], [27], [28]. The work in [25] gives a comprehensive overview of existing research develop”
Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks (2018, background): “The computation offloading and resource allocation are of great importance in MEC networks, which have been attracting more attention in recent years [12], [13].”
Resource Scheduling in Edge Computing: A Survey (2021, background): “The three-tier architecture is a widely popular and accepted paradigm by many existing works [7], [10], [24], [26], [30].”
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, methodology): “At present, some related paradigms, such as mobile cloud computing [13], [14], fog computing [15]–[18], which is the predecessor or counterparts of edge computing, can provide the efficient solutions for massive data processing, and meanwhile improve the user experience.”
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “A recent survey on MEC can be found in [81].”
When Mobile Blockchain Meets Edge Computing (2017, background): “MEC is the key technology to meet stringent low-latency requirements of 5G networks [6].”
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022, background): “The proposed cloud-edge-end collaborative computing paradigm is a promising solution to reduce latency for mobile users [194] by leveraging computing capacities at the mobile edge networks [36].”
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence (2019, background): “Therefore, a more applicable way is to handle user demands at the edge-cloud servers directly, which leads to the birth of a brand-new computation paradigm, edge computing [4].”