摘要
近年來針對「雲端基礎運算」這個主題已有大量的研究與開發。雖然雲端運算提供了龐大的商機，但同時也面臨了一些挑戰。其中可預見之挑戰之一，是目前的數據網路營運商和未來的5G網路，將遭遇數據流量大幅增加的情況。為了因應這種如指數般增加的數據流量與用戶的其他期望，就目前的網路設計原則，需要多種創新做法且予以重新考量。如本文所提之行動網路邊界運算，將為未來的數據網路營運商以及設備廠商提供了龐大的商機。由於此主題概念相對新穎，還有很多的研究正在進行之中，並仍在發展詳細架構。本文提出了一種新的行動網路邊界運算設計和架構，與即時系統的解決方案之實作細節，並對之予以討論。此方法使用了D2D的功能並納入提出之中繼閘道器，同時也利用了Device-to-Device (D2D)的許多好處。例如在D2D中繼閘道器直接通訊而不需要利用基地台轉傳，可以降低資料遺失率並且增加骨幹網路上行頻寬的使用率。亦或D2D通信在小區域網絡的控制下與小區域用戶的共享資源，如此頻譜的利用率將得到提升。此外，它還能帶來的好處包括：減輕蜂窩網絡的負擔、減少移動終端的電池功耗、增加位元速率(Bitrate)、降低網路基礎設施故障的發生率等，還能創造出許多小範圍點對點的數據服務。因此網路應用程式在這種新穎的結合了D2D與行動網路邊界運算的網路架構系統上運行，降低其反應時間有顯著的助益，例如在遲延方面以及核心網路訊號與數據卸載部分。
Abstract
In the recent past, there has been much research and development on cloud based computing. While cloud computing provides huge opportunities, it also imposes several challenges. One of the challenges that current data network operators and future 5G network are foreseeing is huge increase in data traffic. To fulfill such exponential data traffic growth, along with other user expectation, requires multiple innovative approaches and re-consideration of the current network design principals. Mobile Edge computing, as proposed in this paper offers huge opportunities to future data network operators, as well as to equipment vendors. Due to its relatively newer concept, still much research is ongoing and detail architecture is still evolving. This paper proposes and discusses a novel Mobile Edge Computing design and architecture, along with real-time implementation details of the proposed solutions. It exploits many benefits of D2D by incorporating D2D functionalities into the proposed relay-gateways. The application running on top of the proposed network shows significant benefits e.g. in terms of delay as well as core-network signaling and data offloading.
關鍵詞(Key Words)
行動網路邊界運算（Mobile Edge Computing；MEC）
裝置對裝置間(Devices to Devices；D2D)
相關檔案: 裝置對裝置通訊技術用於行動網路邊界運算(全文)
