隨著網路技術的發展，未來將會有數以"億"計的裝置存取網路上的資源與服務，屆時多樣性的行動裝置可能透過行動通訊網路連線技術進行資料交換，大量的連線與資料將蜂擁而至。這不僅對行動通訊網路的無線資源和頻寬帶來大量的消耗，還會降低應用服務數據傳輸的品質。歐洲電信標準協會於2014年提出的行動邊緣運算的概念便是基於此問題而提出的新興網路架構，與雲端計算相比，行動邊緣運算將數據儲存、資料處理和應用服務建立在更貼近使用者的無線接入網路中，進而提供低延遲與高頻寬的服務。有關行動邊緣運算的架構與其帶來的效益在最近的研究文獻中有相當多的探討，但是對於實際底層網路的實現卻寥寥無幾。本論文使用一套開源LTE軟體：OpenAirInterface作為一套未來無線電通訊應用，並將行動邊緣運算的概念實作於該架構之上。當卸載機制啟動後，終端裝置不須透過核心網，即能在應用感知的無線接入網端直接存取應用服務，藉此降低網路延遲與頻寬消耗，確保改善使用者的品質體驗。

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.

中文摘要 1
ABSTRACT 2
TABLE OF CONTENTS 3
TABLE OF FIGURES 4
Chapter 1 Introduction 5
Chapter 2 Related Work 9
2.1 Overview of Edge Cloud Computing Paradigms 9
2.2 The State-of-the-Art Research of MEC 11
2.3 Software Radio Access Network 13
Chapter 3 System Overview 15
Chapter 4 Design and Implementations 18
4.1 Architecture 18
4.2 Offloading Mechanism 21
Chapter 5 Experiments and Results 25
5.1 Experimental Environment 25
5.2 Evaluation of Application Result Response Time 26
5.3 Evaluation of Offloading Procedure Time 27
5.4 Evaluation of Application-Aware Function Time 28
Chapter 6 Conclusion 30
Reference 31

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