多接取邊緣運算(Multi-access Edge Computing, MEC)或稱行動邊緣運算(Mobile Edge Computing)為近幾年熱門技術。隨著行動裝置、物聯網及網路環境變化，網路用戶以及物聯網設備數將不斷成長，對於延遲需求越發嚴格。大量終端設備間之通訊也帶給了核心網巨大的流量，僅依靠雲端技術便難以符合5G三大應用之需求。因此多接取邊緣運算架構的提出，就是解決目前雲端技術所面臨之難題。透過在核心網路中架設邊緣伺服器來減少終端設備延遲以及大量連線服務需求，強化即時的完成任務、減少核心網路、雲端伺服器所需處理的網路流量。
本論文在符合歐洲電信標準協會(European Telecommunications Standards Institute, ETSI)所提之5G多接取邊緣運算架構下部署實驗平台，並實作多接取邊緣運算平台之容器管理、監控功能。考量到雲端伺服器會向多接取邊緣伺服器供應端租借資源，以供應端角度設計考量不同雲端伺服器公平性之排程來進行欲部署服務之篩選，並依照5G三類應用之特徵進行資源配置。當服務卸載至多接取邊緣伺服器後，考量使用者裝置端所存取之服務對於延遲要求不同，將使用者裝置端之流量依5G服務類型分類，並依照延遲需求來進行使用者裝置端之封包排程，以達到確保低延遲任務優先被完成之目的。由實驗結果可得，本論文所提出之多接取邊緣運算平台將會優先選擇部署低延遲之服務至多接取邊緣伺服器上，並於接收到存取服務之請求時依照欲存取服務之延遲需求進行封包排程。

The communication of many terminal devices brings high traffic stress to the core network, and it is difficult to meet the 5G application latency requirement by only adopting cloud computing. Multi-access Edge Computing (MEC) is proposed to solve the problems faced by cloud computing. Locating MEC servers in the network edge reduces the delay of terminal devices to access service and the network traffic that the core network and cloud servers need to process.

In this paper, we implement the 5G MEC platform that follows the European Telecommunications Standards Institute standards. Also, we design the service management and monitoring functions of the MEC platform. Service scheduling is designed from the perspective of the supply side. In addition, to consider the fairness of different cloud servers, the proposed scheduler allocates resources according to the application character. After the service is offloaded to the MEC server, the traffic on the terminal device will be classified according to the 5G service type. Packet from the user equipment (UE) site will be re-scheduling to ensure low-latency tasks are completed first. Based on the experiment, the MEC platform in this paper will preferentially deploy low-latency services to the MEC server; moreover, the MEC server classifies traffic flow from UEs to meet the latency requirements of the task.

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