Edge Computing | 邊緣運算

  • 邊緣運算是什麼?
    邊緣運算(Edge Computing)是一種網路運算架構,運算過程盡可能靠近資料來源以減少延遲和頻寬使用。目的是減少集中遠端位置(即"雲")中執行的運算量,從而最大限度地減少異地用戶端和伺服器之間必須發生的通信量。近年來,技術的快速發展使硬體趨向小型化、高密度以及軟體的虛擬化,讓邊緣運算的實用度更加可行。

    想更深入了解邊緣運算,請參考我們的這篇文章:什麼是邊緣運算(Edge Computing)?

  • 為何需要?
    網路邊緣的線上設備數量迅速增加,這些設備產生大量數據資料(例如智慧工廠或城市的IoT設備),也消耗大量資料頻寬(例如使用5G手機查看 4K 影像或VR 遊戲裝置),或兩者同時使用(如自動駕駛車輛)。使用傳統的"雲端運算"模型要求所有這些資料被傳輸回中央的資料中心進行處理,然後再傳輸回使用者設備,使得對網路頻寬的需求必須推到極限。儘管網路技術有所改進,但資料中心無法保證過程中傳輸速率和回應時間是可接受的,這可能是許多應用的關鍵需求。因此,邊緣運算將計算和儲存能力帶到網路邊緣,在實體或地理位置上盡可能接近終端設備,減少網路頻寬使用和延遲,縮短回應時間。邊緣運算是加速互聯網的主要關鍵。

  • 技嘉的特色
    GIGABYTE 發佈了專為邊緣運算設計的新伺服器 H242 系列 (H242-Z10 / H242-Z11)此伺服器具有四個Single socket AMD EPYC 7002 系列"Rome"節點,每個節點最多擁有 64 個核心數和 128 個執行緒,採用緊湊的 2U 半深度機殼,專為部屬空間受限的場域如電信機櫃或邊緣運算小型資料中心而設計。

    GIGABYTE 還開發了MEC(多接取邊緣運算)解決方案,這是一種適用於 5G 網路的邊緣運算,將網路功能虛擬化(NFV) 與泛用型伺服器整合在一起,以實現虛擬化電信核心網路 (vEPC)技術。邊緣運算將是 5G 網路基礎設施的關鍵技術元件,因為 5G 設備生成的資料量對於傳統的雲端運算網路架構來說過於龐大,處理過程中會產生過多的延遲。

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    What is Edge Computing? Definition and Cases Explained.

    Edge Computing: computing performed physically or logically as close as possible to where data is created and commands are executed. Offering excellent advantages in latency reduction for applications relying on real-time decision making.

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