The phrase "mobile edge computing" is correct and usable in written English.
It can be used in discussions related to technology, particularly in the context of computing and networking.
Example: "Mobile edge computing allows for faster data processing by bringing computation closer to the user."
Alternatives: "edge computing for mobile" or "mobile cloud computing."
Her research interests include optimization of mobile wireless communication networking and mobile edge computing.
Mobile Edge Computing MECC) started to gain attention of research community in last few years with preliminary research contributions so far such as: standardization of some key interfaces for mobile edge computing [3], building super-short applications requiring a low response time and latency [4 6] and modeling hyper-scale datacentres with micro datacentres at the edge of networks [7].
Considering the knowledge accumulated, procedures analysed and theories discussed, the paper provides a comprehensive overview on sate-of-the-art and future research directions for multi-access mobile edge computing.
While considering the state-of-the-art presented in this paper, many areas are still open for further research to investigate a comprehensive architecture design with intelligent migration mechanism for multi-access mobile edge computing.
From the viewpoint of radio access network, the differences between mobile edge computing and fog computing are highlighted, and the characteristics of fog computing-based radio access network are discussed.
Device-to-Device (D2D) communication is expected to be a key feature supported by 5G networks, especially due to the proliferation of Mobile Edge Computing (MEC), which has a prominent role in reducing network stress by shifting computational tasks from the Internet to the mobile edge.
To deal with these issues, mobile edge cloud computing – or fog computing – can be used to improve the security of MCPS by enabling the deployment and management of efficient resources into the network edge.
In order to meet these challenges, mobile edge cloud computing was proposed as an innovative mobile cloud computing paradigm which complements the cloudlet concept [4].
In this paper, we propose a novel strategy for data offloading in cloud RAN-based mobile edge cloud computing.
The concept of mobile edge cloud computing is to provide cloud computing resources at the edge of radio access networks close to mobile end users.
Swim.ai has an interesting take on edge computing.
