Mobile Edge Cloud System: Architectures, Challenges, and Approaches

Mobile edge cloud (MEC) is a model for enabling on-demand elastic access to, or an interaction with a shared pool of reconfigurable computing resources such as servers, storage, peer devices, applications, and services, at the edge of the wireless network in close proximity to mobile users. It overc...

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Vydáno v:IEEE systems journal Ročník 12; číslo 3; s. 2495 - 2508
Hlavní autoři: Liu, Hang, Eldarrat, Fahima, Alqahtani, Hanen, Reznik, Alex, de Foy, Xavier, Zhang, Yanyong
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.09.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Ambient intelligence
Bandwidth
Bandwidths
Cloud computing
Fog computing
Mobile communication
Mobile computing
mobile edge cloud (MEC)
mobile edge computing
Mobile handsets
service model
survey
system architecture
Systems design
Wireless networks
ISSN:1932-8184, 1937-9234
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Shrnutí:Mobile edge cloud (MEC) is a model for enabling on-demand elastic access to, or an interaction with a shared pool of reconfigurable computing resources such as servers, storage, peer devices, applications, and services, at the edge of the wireless network in close proximity to mobile users. It overcomes some obstacles of traditional central clouds by offering wireless network information and local context awareness as well as low latency and bandwidth conservation. This paper presents a comprehensive survey of MEC systems, including the concept, architectures, and technical enablers. First, the MEC applications are explored and classified based on different criteria, the service models and deployment scenarios are reviewed and categorized, and the factors influencing the MEC system design are discussed. Then, the architectures and designs of MEC systems are surveyed, and the technical issues, existing solutions, and approaches are presented. The open challenges and future research directions of MEC are further discussed.
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ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2017.2654119