Mobile Edge Computing: Opportunities, solutions, and challenges
By Ejaz Ahmed, Mubashir Husain Rehmani. Future generations computer systems, 2017
309 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/af6173dccd7ba0fb070cf14370bb5889b6317a69
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
- Kaibin Huang
- Changsheng You
- Jun Zhang
- Madhusanka Liyanage
- Yuyi Mao
- Yan Zhang
- Pawani Porambage
In Computer Vision and Pattern Recognition
- Muhammad Imran
- Ibrar Yaqoob
- Madhusanka Liyanage
- Tie Qiu
- Sahraoui Dhelim
- Huansheng Ning
- Pengfei Hu
- Athanasios V. Vasilakos
Citations in the corpus
- Hybrid SDN Networks: A Survey of Existing Approaches (2018, background): “, in mobile edge computing [78], [347]–[350] and the Internet of Things [351]–[353].”
- Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, background): “3) Secure Content Distribution: Fog nodes can provide local content distribution services to the users located in their coverage areas.”
- The role of big data analytics in Internet of Things (2017, methodology): “Processing the data that are generated by IoT devices on the edge devices can bring several advantages, such as low latency, minimal bandwidth consumption, data integrity, security, and low cost [30], [31], [53].”
- A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “Furthermore, potential business opportunities related to MEC are discussed in [55] from the perspectives of application developers, service providers, and network equipment vendors.”
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, background): “This, however, can increase the propagation delay as well as execution delay, thus reducing the application performance [45].”
- Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, unknown): “Virtually enabled edge computing servers are characterized by low computation and storage capacity constraints [203], [204].”
- Edge Computing in 5G: A Review (2019, background): “Secondly, raw information can be removed prior to reaching the edge cloud to ensure privacy [83], [84].”
- Survey on fog computing: architecture, key technologies, applications and open issues (2017, methodology): “The differentiation of edge computing and fog computing is shown in Table 3 (Wang et al., 2017; Roman et al., 2016 ; Ahmed and Rehmani, 2017).”
- A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022, background): “In addition, the primary focus of [30], [31], [32] is on AR/VR service delivery.”
- Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “[24] A presentation of MEC related definitions, applications, opportunities, and research challenges.”
- Mobile Edge Computing: A Survey (2018, background): “Furthermore, in [46], the application area is expanded to smart building control and software-defined network (SDN), as well as to ocean monitoring [47].”