Application-Aware Offloading Mechanism for Mobile Edge Computing

碩士 === 國立清華大學 === 資訊工程學系所 === 105 === With the development of network technology, there will be billions of devices accessing resources and services on the cloud through mobile telecommunication network. A great number of connections and data packets must be handled by the mobile network. It not onl...

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Main Authors: Huang, Shih-Chun, 黃斯駿
Other Authors: Chou, Jerry
Format: Others
Language:en_US
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/r27hza
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spelling ndltd-TW-105NTHU53921192019-05-16T00:00:22Z http://ndltd.ncl.edu.tw/handle/r27hza Application-Aware Offloading Mechanism for Mobile Edge Computing 行動邊緣運算之應用感知卸載機制 Huang, Shih-Chun 黃斯駿 碩士 國立清華大學 資訊工程學系所 105 With the development of network technology, there will be billions of devices accessing resources and services on the cloud through mobile telecommunication network. A great number of connections and data packets must be handled by the mobile network. It not only consumes the limited spectrum resources and network bandwidth, but also reduces the service quality of applications. To address the problem, the concept of Mobile Edge Computing (MEC) has been proposed by European Telecommunications Standard Institute (ETSI) in 2014. MEC suggests to provide IT and cloud computing capabilities at the network edge to offer low-latency and high-bandwidth service. The architecture and the benefits of MEC have been discussed in many recent literature. But the implementation of underlying network is rarely discussed or evaluated in practice. In this thesis, we present our prototype implementation of a MEC platform by developing an application-aware traffic offloading mechanism at edge network to reduce service latency and network bandwidth consumption. Our implementation is based on OpenAirInterface, an open source project of 5G SoftRAN cellular system. To the best of our knowledge, it is also one of the few MEC solutions that have been built for 5G networks in practice. Chou, Jerry 周志遠 2017 學位論文 ; thesis 33 en_US
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description 碩士 === 國立清華大學 === 資訊工程學系所 === 105 === With the development of network technology, there will be billions of devices accessing resources and services on the cloud through mobile telecommunication network. A great number of connections and data packets must be handled by the mobile network. It not only consumes the limited spectrum resources and network bandwidth, but also reduces the service quality of applications. To address the problem, the concept of Mobile Edge Computing (MEC) has been proposed by European Telecommunications Standard Institute (ETSI) in 2014. MEC suggests to provide IT and cloud computing capabilities at the network edge to offer low-latency and high-bandwidth service. The architecture and the benefits of MEC have been discussed in many recent literature. But the implementation of underlying network is rarely discussed or evaluated in practice. In this thesis, we present our prototype implementation of a MEC platform by developing an application-aware traffic offloading mechanism at edge network to reduce service latency and network bandwidth consumption. Our implementation is based on OpenAirInterface, an open source project of 5G SoftRAN cellular system. To the best of our knowledge, it is also one of the few MEC solutions that have been built for 5G networks in practice.
author2 Chou, Jerry
author_facet Chou, Jerry
Huang, Shih-Chun
黃斯駿
author Huang, Shih-Chun
黃斯駿
spellingShingle Huang, Shih-Chun
黃斯駿
Application-Aware Offloading Mechanism for Mobile Edge Computing
author_sort Huang, Shih-Chun
title Application-Aware Offloading Mechanism for Mobile Edge Computing
title_short Application-Aware Offloading Mechanism for Mobile Edge Computing
title_full Application-Aware Offloading Mechanism for Mobile Edge Computing
title_fullStr Application-Aware Offloading Mechanism for Mobile Edge Computing
title_full_unstemmed Application-Aware Offloading Mechanism for Mobile Edge Computing
title_sort application-aware offloading mechanism for mobile edge computing
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/r27hza
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