On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration
By Tarik Taleb, Konstantinos Samdanis, Badr Eddine Mada, Hannu Flinck, Sunny Dutta, Dario Sabella. IEEE Communications Surveys and Tutorials, 2017
1,530 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/632356ca649289146a167b08c591c20c1eaa7e2b
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
- Madhusanka Liyanage
- Dusist Niyato
- Dinh C. Nguyen
- Pubudu N. Pathirana
- Ming Ding
- Tarik Taleb
- Pawani Porambage
- Aruna Prasad Seneviratne
Citations in the corpus
- 5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges (2019, methodology): “Furthermore, it marries the speed and style of a DevOps/NetOps approach with the formal models and processes an operator require to introduce new services and technologies [201] .”
- All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “The survey in [14] introduces a survey on MEC and focuses on the fundamental key enabling technologies in MEC.”
- Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey (2021, background): “MEC has been an emerging technology which aims at bringing the cloud computing facilities near the edge of a network [151], [152].”
- A Survey on Mobile Edge Computing: The Communication Perspective (2017, neutral): “The survey of [50]”
- Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems (2021, background): “11 When coupled with federated learning, edge intelligence brings along many non-negligible benefits [15], [35], [36], which we discuss hereafter: • Reduced Latency and Bandwidth Utilization: Edge intelligence offers the flexibility to partition the deep neural networks in such a way that some layer”
- A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, methodology): “Also, to better cope with lowlatency IoT applications, the Edge computing paradigm is boosting the deployment of micro data centers at the edge of the network [40].”
- Edge Computing for the Internet of Things: A Case Study (2018, background): “A detailed survey of the enabling technologies is provided in [24]; we summarize the most”
- Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “A cloudlet represents a middle layer in an architecture having three tiers: 1) a centralized cloud; 2) edge cloud platform (cloudlet); and 3) end device [41].”
- Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment (2018, background): “There are other surveys which discuss the architecture of EC in [11]–[13]; however, they address only the standardization and challenges in EC and no survey specifically addresses the performance of EC with other services like cloud or centralized data centers.”
- Blockchain for 5G and Beyond Networks: A State of the Art Survey (2019, background): “To overcome such challenges, a spectrum blockchain architecture is considered in [156] to improve the spectrum sharing.”
- 5G Key Technologies for Smart Railways (2020, background): “Mobile edge computing (MEC) is considered as an emerging key technique in 5G communication which extends the ability of cloud computing to the edge of the network and reduces the bandwidth requirement between the train and the BS [147].”
- Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, methodology): “In addition to MEC integration technologies like SDN, NFV, and network slicing discussed in [4], we consider ICN in”
- Vehicular Edge Computing and Networking: A Survey (2019, background): “t-radio-and-computational resource allocation. The enabling technologies in MEC, such as Virtual Machine (VM), Software Defined Networking (SDN), Network Function Virtualization (NFV) are discussed in [28]. Vehicular Edge Computing (VEC) has a great potential to enhance traffic safety and improve trav”
- Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges (2020, background): “Taleb et al. [28] introduced an overview of research on MEC and the key technologies for implementing MEC, analyzed the MEC reference architecture and main deployment scenarios, and expounded the current standardization work and challenges of open research.”
- Security for 5G and Beyond (2019, background): “In2014, the ESTI MEC ISG [95] was initiated to look into Multi-access Edge Computing (MEC) security standards and empower NFV capabilities within the Radio Access Network (RAN) to deliver security and robustness.”
- A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, methodology): “While the concept of fog computing was introduced by Cisco and it is seen as an extension of cloud computing [325], MEC is standardized by ETSI to bring application-oriented capabilities in the core of the mobile operators’ networks at a one-hop distance from the end-user [326].”