Mobile Edge Computing: A Taxonomy

By M. Beck, M. Werner, Sebastian Feld, Thomas Schimper. 2014

330 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c604de7dd3e379c11906674266da473f359e9f3f

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Citations in the corpus

A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications (2017, background): “In [20], the authors classified several applications deployed at the mobile edge according to the technical metrics: power consumption, delay, bandwidth usage and scalability.”
A Survey on Software-Defined Wireless Sensor Networks: Challenges and Design Requirements (2017, background): “MEC on the other hand refers to the concept bringing cloud computing capabilities to the edge of a mobile network closer to the mobile devices for better performance [110], [111].”
Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing (2017, background): “On the other hand, due to the requirement of dedicated devices for Mobile Edge Computing and Cloudlet Computing the penetration of these implementations are slower than that of Fog Computing.”
A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “hat allow the ﬂexible control and multitenancy support. In [52], the authors categorize diverse MEC applications, service models, deployment scenarios, as well as network architectures. The survey in [53] presents a taxonomy for MEC applications and identiﬁes potential directions for research and de”
Mobile Edge Computing: A Survey on Architecture and Computation Offloading (2017, background): “As suggested in [38] and [39], three main use case categories, depending on the subject to which they are profitable to, can be distinguished for the MEC (see Fig.”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “If this traffic is kept at the edge, the burden on the core network is relieved and the utilization of the bandwidth is optimized [61].”
Study and Investigation on 5G Technology: A Systematic Review (2021, background): “In [23,87], the author’s investigation proved that successful deployment of MEC in 5G network increases the overall performance of 5G architecture.”
IoT-Enabled Social Relationships Meet Artificial Social Intelligence (2021, background): “The main concept is improving the network performance, reducing unnecessary network traffic and increasing the throughput while replying to the users’ requests [81].”
Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing (2017, background): “Following the trend of edge computing, several concepts/paradigms, for example, cloudlet [7], fog computing [8] and mobile edge computing [9], have been proposed successively in recent years to meet the data computing and storage needs at the edge of the Internet.”
Mobile Edge Computing: A Survey (2018, background): “With respect to the actors (MNOs, ASPs and end-users), MEC beneﬁts include [9], [37] the following.”
A survey on mobile edge computing (2016, background): “To overcome above challenging issues, a new paradigm call Mobile Edge Computing is proposed recently [16],[17].”
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, unknown): “The term mobile-edge computing was introduced by the European Telecommunications Standards Institute (ETSI) to enable the placement of computing resources at the radio access network and the core network of mobile telecommunication systems [59], [60].”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, methodology): “[28] A classification of applications deployed in MEC systems.”
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].”
Survey on fog computing: architecture, key technologies, applications and open issues (2017, background): “That is to say, computing and storing happens near things and data sources (Beck et al., 2014).”
Edge-computing-driven Internet of Things: A Survey (2022, background): “The biggest challenge for the ECDriven-IoT is how to deploy largescale computing and storage capabilities dynamically [20].”
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018, background): “In a case where it is not possible to process or complete a request at the MEC sever; the request will be forwarded to remote CDNs or data centers [35].”