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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| Vydané v: | IEEE systems journal Ročník 12; číslo 3; s. 2495 - 2508 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
IEEE
01.09.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1932-8184, 1937-9234 |
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| Abstract | 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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| AbstractList | 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. |
| Author | de Foy, Xavier Liu, Hang Zhang, Yanyong Eldarrat, Fahima Reznik, Alex Alqahtani, Hanen |
| Author_xml | – sequence: 1 givenname: Hang orcidid: 0000-0002-1379-6314 surname: Liu fullname: Liu, Hang email: liuh@cua.edu organization: Electrical Engineering and Computer Science Department, Catholic University of America, Washington, DC, USA – sequence: 2 givenname: Fahima surname: Eldarrat fullname: Eldarrat, Fahima email: 40eldarrat@cua.edu organization: Electrical Engineering and Computer Science Department, Catholic University of America, Washington, DC, USA – sequence: 3 givenname: Hanen surname: Alqahtani fullname: Alqahtani, Hanen email: 94alqahtani@cua.edu organization: Electrical Engineering and Computer Science Department, Catholic University of America, Washington, DC, USA – sequence: 4 givenname: Alex surname: Reznik fullname: Reznik, Alex email: rezlev@gmail.com organization: InterDigital Communications, Inc., Conshohocken, PA, USA – sequence: 5 givenname: Xavier surname: de Foy fullname: de Foy, Xavier email: xavier.defoy@interdigital.com organization: InterDigital Communications, Inc., Montreal, QC, Canada – sequence: 6 givenname: Yanyong surname: Zhang fullname: Zhang, Yanyong email: yyzhang@ece.rutgers.edu organization: WINLAB, Rutgers University, North Brunswick, NJ, USA |
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| SubjectTerms | 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 |
| Title | Mobile Edge Cloud System: Architectures, Challenges, and Approaches |
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