Edge Computing | 邊緣運算

  • What is it?
    Edge computing is a type of computing network architecture, where computation is moved as close to the source of data as possible, in order to reduce latency and bandwidth use. The aim is to reduce the amount of computing required to be performed in a centralized, remote location (i.e. the “cloud”) far away from the source of the data or the user who requires the result of the computation, thus minimizing the amount of long-distance communication that has to happen between a client and server. Rapid advances in technology allowing for miniaturization and increased density of computing hardware as well as software virtualization have made edge computing more feasible in recent years.

  • Why you need it?
    There has been a rapid increase of online devices at the edge of networks that generate massive amounts of data (e.g. IoT devices in smart factories or cities), consume massive amounts of data (such using 5G cellphones to view 4K streaming video or VR gaming devices), or both (such as self-driving vehicles). Using a traditional “cloud computing” model requires all this data to be transmitted back to a centralized data center to be processed, before being transmitted back to the device, pushing network bandwidth requirements to the limit. Despite the improvements of network technology, data centers cannot guarantee acceptable transfer rates and response times, which could be a critical requirement for many applications. Therefore, edge computing brings computation and storage abilities to the edge of the network, physically, logically or geographically close to the end device, reducing network bandwidth usage and latency and shortening response times. Edge computing is a primary component of making the Internet fast!

  • How is GIGABYTE helpful?
    GIGABYTE has released a new server specifically designed for edge computing, the H242 Series (H242-Z10 / H242-Z11). This server features four single socket AMD EPYC 7002 Series “Rome” nodes, with up to 64 cores and 128 threads per node, in a compact 2U half-depth chassis, designed for restricted space deployments such as a telecommunications cabinet or an edge computing micro-data center.

    GIGABYTE also has developed a MEC (Mobile Edge Computing) solution, a type of edge computing suitable for 5G networks that combines Network Functions Virtualization (NFV) together with general purpose servers to implement Virtual Evolved Packet Core (vEPC) technology. Edge computing will be a key technology component of 5G network infrastructure, since the amount of data generated by 5G devices will be too great for a traditional cloud computing network architecture to handle without unacceptable delays.

  • WE RECOMMEND
    RELATED ARTICLES
    新北寶可夢瘋抓寶 單日湧入破10萬人 看技嘉高密度伺服器如何協助維護治安

    大型活動瞬間湧入大量人潮,往往造成手機網路壅塞,即使透過電信公司的行動基地台加強訊號,也無法負荷龐大使用量;2019年工研院打造「行動專網影音指揮車」,建構類5G行動專網,解決商用網路塞車問題,協助新北市警局順暢傳輸、監控大型活動現場的即時影像,有效運用警力資源,提升活動維安效率。技嘉高密度伺服器,也協助該行動專網影音指揮車,降低資料中心的運算複雜性,將運算、儲存與網路結合成單一系統,建立共享運算和儲存資源,有效的集中管理及分配運用,通過簡化管理程序,提高資源利用率。

    什麼是邊緣運算(Edge Computing)?

    邊緣運算將原本完全由中心節點處理的大型服務,切割分散到邊緣節點,更接近用戶終端裝置,可加快資料的處理與傳送速度,減少延遲,更適合處理即時性的數據分析及服務。

    [數位導覽] 5G邊緣運算  開啟你的全新體驗

    GIGABYTE 將為你開啟一趟5G生活圈的數位體驗,運用智慧城市情境,以5G三大特性: eMBB大頻寬、URLLC低延遲、mMTC巨量連結為基礎,呈現動態圖文的情境解說,如大型活動的即時沉浸式體驗、智慧車聯網及自駕車、及應用於智慧城市的新服務,同時掌握關鍵技術多接取邊緣運算(MEC, Multi-access Edge Computing)架構與技嘉邊緣運算平台在5G未來中所扮演的重要角色。

    新一代通訊商機:3項高潛力 5G應用實例

    5G通訊技術近期不斷地在各大產業間被談論著,似乎所有事物都要與5G連結上,才算跟上科技潮流! 談到5G技術必定會提到大頻寬、低延遲、大連結等特性。而5G的到來能改變未來生活的樣貌,我們直接從生活實例中更明確地了解什麼是5G吧! 而技嘉在5G新世代通訊中扮演什麼關鍵角色呢?

    RELATED ARTICLES

    {{item.Topic}}

    {{item.Title}}

    {{item.SubTitle}}