A survey on mobile edge computing
By Arif Ahmed, Ejaz Ahmed. International Symposium on Combinatorial Optimization, 2016
601 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/fd95d7981fc11e34d274cc2b09ca6754abf0216a
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
- Khaled Ben Letaief
- Jun Zhang
- Kaibin Huang
- Changsheng You
- Yuyi Mao
- Madhusanka Liyanage
- Yan Zhang
- Pawani Porambage
In Computer Vision and Pattern Recognition
In Electrical and Electronic Engineering
- Khaled Ben Letaief
- Jun Zhang
- Changsheng You
- Kaibin Huang
- Yuyi Mao
- Mugen Peng
- Yan Zhang
- Madhusanka Liyanage
Citations in the corpus
- How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, methodology): “It brings the mobile operators, service providers, mobile subscribers and over-the-top (OTT) players together, and aims to provide a sustainable business model for them [25], [95].”
- Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “Taxonomy [27] A taxonomy of MEC based on different aspects including its characteristics, access technologies, applications, and objectives.”
- A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms (2019, methodology): “By deploying MEC servers at the macro or micro base stations, MEC can improve the user experience by processing the user request at the network edge with reduced latency and location-awareness, as well as alleviate the load over the core network, as shown in Figure 4 [12].”
- Survey on fog computing: architecture, key technologies, applications and open issues (2017, background): “However, cloudlet is accessed only through Wi-Fi access point, which results in the small coverage area (Ahmed and Ahmed, 2016).”
- Future Edge Cloud and Edge Computing for Internet of Things Applications (2018, background): “Comparing with two latest efforts addressing similar topic [6], [7], this paper presents a more comprehensive coverage of the state-of-the-art research and industry activities, and we focus more on the future key enabling technologies, such as network function virtualization (NFV) and software defin”
- Mobile Edge Computing: A Survey on Architecture and Computation Offloading (2017, background): “Despite this fact, there is just one survey focusing primarily on the MEC [27] that, however, only briefly surveys several research works dealing with the MEC and”
- The role of big data analytics in Internet of Things (2017, methodology): “In IoT, the big data processing and anlytics can be performed closer to data source using the services of mobile edge computing [30], [31], cloudlets [32] and fog computing [33].”
- A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “in [49] where different existing MEC frameworks, architectures, and their application scenarios, including FemtoClouds, REPLISM, and ME-VOLTE, are discussed.”
- A Comprehensive Survey of Privacy-preserving Federated Learning (2021, background): “Mobile edge computing, also known as multi-access edge computing, is a network architecture concept designed to enable a cloud computing service at the edge clients of the cellular network [2, 5].”
- Mobile Edge Computing: Opportunities, solutions, and challenges (2017, background): “Current cloud computing paradigm [10] is unable to meet the requirements of low latency, location awareness, and mobility support [11], [12].”
- Mobile Edge Computing: A Survey (2018, background): “There exist a few MEC survey reports in [13] and [14].”
- 5G for Vehicular Communications (2018, background): “MEC will play a fundamental role in 5G [12].”
- Fog Computing: A Taxonomy, Survey and Future Directions (2016, background): “Moreover, it aims at flexible access to the radio network information for content distribution and application development [10] [11].”
- Edge Computing in 5G: A Review (2019, background): “Hence, edge servers in the mini clouds have the capabilities of a cloud but on a different scale, and they are located locally instead of remote data centers which may be far away from UEs [9].”
- Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers (2018, background): “MEC is designed to bring cloud computing capabilities and IT ervices environment at the edge of cellular networks [31] .”
- Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, background): “ubiquitous computing cannot be provided [5].”
- A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications (2017, background): “cations and use cases of mobile edge networks are explained.”
- Fog computing security: a review of current applications and security solutions (2017, methodology): “Edge Computing performs localized processing on the device using Programmable Automation Controllers (PAC) [23], which can handle data processing, storage and communication [22].”