On the study of Multiple-access Edge Computing

碩士 === 國立交通大學 === 電機資訊國際學程 === 107 === Multi-access Edge Computing (previously Mobile Edge Computing, MEC) is one of the key technologies in fifth-generation (5G) mobile network technology due to remarkable increase in perceived user experience by reducing the transmission latency significantly and...

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Main Authors: Maxim Domnitskyi, 杜民思
Other Authors: Lin, Bao-Shuh Paul
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/r8mq6y
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spelling ndltd-TW-107NCTU54410152019-11-26T05:16:45Z http://ndltd.ncl.edu.tw/handle/r8mq6y On the study of Multiple-access Edge Computing 多重存取邊緣運算之研究 Maxim Domnitskyi 杜民思 碩士 國立交通大學 電機資訊國際學程 107 Multi-access Edge Computing (previously Mobile Edge Computing, MEC) is one of the key technologies in fifth-generation (5G) mobile network technology due to remarkable increase in perceived user experience by reducing the transmission latency significantly and obtaining higher bandwidth locally. Meanwhile the industry urges for moving to commodity hardware driven deployments of applications and services is becoming a prevalent topic of discussion in regards to its use in the next generation of mobile networks. The concept of commodity hardware being used for development of MEC infrastructure is interesting in it’s own right and is discussed here. Furthermore, for the various and large scale IoT applications, an application-aware MEC server can improve the network efficiency to achieve the requirements of 5G network. In the following work an overview of Multiple-access Edge Computing and surrounding technologies for simulation and emulation of current (4G) and next-generation (5G) mobile and otherwise networks is given. This work also provides a simulation that discovers benefit of using MEC in 4G networks as well as uncovers a disadvantage in using overloaded MEC solution. Lastly, the orchestration method for commodity hardware driven MEC deployment for potential video streaming application is presented based on the demand for load balancing uncovered by simulation, and conceptually tested using state-of-the-art emulation technology in form of free5GC project that is used as a functioning prototype of a 5G network with real hardware. Lin, Bao-Shuh Paul 林寶樹 2019 學位論文 ; thesis 38 en_US
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description 碩士 === 國立交通大學 === 電機資訊國際學程 === 107 === Multi-access Edge Computing (previously Mobile Edge Computing, MEC) is one of the key technologies in fifth-generation (5G) mobile network technology due to remarkable increase in perceived user experience by reducing the transmission latency significantly and obtaining higher bandwidth locally. Meanwhile the industry urges for moving to commodity hardware driven deployments of applications and services is becoming a prevalent topic of discussion in regards to its use in the next generation of mobile networks. The concept of commodity hardware being used for development of MEC infrastructure is interesting in it’s own right and is discussed here. Furthermore, for the various and large scale IoT applications, an application-aware MEC server can improve the network efficiency to achieve the requirements of 5G network. In the following work an overview of Multiple-access Edge Computing and surrounding technologies for simulation and emulation of current (4G) and next-generation (5G) mobile and otherwise networks is given. This work also provides a simulation that discovers benefit of using MEC in 4G networks as well as uncovers a disadvantage in using overloaded MEC solution. Lastly, the orchestration method for commodity hardware driven MEC deployment for potential video streaming application is presented based on the demand for load balancing uncovered by simulation, and conceptually tested using state-of-the-art emulation technology in form of free5GC project that is used as a functioning prototype of a 5G network with real hardware.
author2 Lin, Bao-Shuh Paul
author_facet Lin, Bao-Shuh Paul
Maxim Domnitskyi
杜民思
author Maxim Domnitskyi
杜民思
spellingShingle Maxim Domnitskyi
杜民思
On the study of Multiple-access Edge Computing
author_sort Maxim Domnitskyi
title On the study of Multiple-access Edge Computing
title_short On the study of Multiple-access Edge Computing
title_full On the study of Multiple-access Edge Computing
title_fullStr On the study of Multiple-access Edge Computing
title_full_unstemmed On the study of Multiple-access Edge Computing
title_sort on the study of multiple-access edge computing
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/r8mq6y
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