If you’ve spent any time in the networking trenches, you’ve no doubt spent many hours puzzling over an assortment of network topology charts. These visual representations of a network tell an important story of how the various components in a network are connected to each other and how data is transferred between its constituent nodes.

These topologies are more than just fancy diagrams – they essentially serve as a living blueprint that describes how a network functions and data is routed. Choosing the right topology will go a long way towards improving the performance and efficiency of your network, as well as help to rationalize how certain resources should be allocated and can provide a roadmap that’s essential for troubleshooting when network connectivity issues arise.

Over the past few decades, a wide variety of network topologies have been established, each of which caters to a specific environment or use case. However, as the network continues its inexorable march towards the edge – where connectivity can be intermittent and skilled resources are scarce – we will likely see a number of new topologies arise that take these constraints into consideration.

As Alan R. Earls, author of The Gorilla Guide to: Enabling IT at the Edge, notes in his explanation of the most likely edge topologies: “While the never-ending evolution of information technologies makes it hard to predict exactly what topologies will emerge or seem most appealing in the future, there are currently several strong contenders for edge computing.” These five edge topologies include:

1. Regional Data Center Edge: CDN, Telecom DC, Colocation.

This might be a service provider configuration with multiple tenants and, in comparison with other edge computing scenarios, is typically a very large-scale operation that differs from a traditional data center only in its relationship to an even larger central data center and in usually having a narrower focus.

2. Local Data Center Edge: Small Data Center, Micro Data Center.

This type of edge computing is likely general-service-oriented, perhaps for a remote office or branch office and is characterized by low or no staffing.

3. Gateway Edge: Intelligent Local/Field Gateway

This typically comprises a small cell or access point, such as a video management software (VMS) surveillance system and offers zero touch provisioning (ZTP) and configuration management.

4. Device Edge: Embedded Computing Devices and Traditional PLCs.

This type of edge, typically a single machine or work cell, has only enough intelligence to assist with a specific operation and provide some de- gree of reporting.

5. Compute Edge: Edge Server/Storage Outside of a Data Center.

Examples of this type of true edge computing potentially have the ability to include specialized services, such as video analytics-based applications and likely include ZTP.

It’s important to note that these topologies aren’t rigid. There are gray areas and some edge implementations can actually include multiple topologies. However, in most instances, one is clearly predominant.

To learn more about what future edge topologies might look like, download Scale Computing’s free ebook: “The Gorilla Guide to: Enabling IT at the Edge”

關於 Version 2

Version 2 Digital 是立足亞洲的增值代理商及IT開發者。公司在網絡安全、雲端、數據保護、終端設備、基礎設施、系統監控、存儲、網絡管理、商業生產力和通信產品等各個領域代理發展各種 IT 產品。
透過公司龐大的網絡、通路、銷售點、分銷商及合作夥伴，Version 2 提供廣被市場讚賞的產品及服務。Version 2 的銷售網絡包括台灣、香港、澳門、中國大陸、新加坡、馬來西亞等各亞太地區，客戶來自各行各業，包括全球 1000 大跨國企業、上市公司、公用事業、醫療、金融、教育機構、政府部門、無數成功的中小企及來自亞洲各城市的消費市場客戶。

關於 Scale Computing 

Scale Computing 是邊緣運算、虛擬化及超融合解決方案的領導者。 Scale Computing 的 HC3 軟件整合了傳統的虛擬化軟件、災難復原軟件、伺服器及共享儲存，並將其整合為一個高度可用的應用程式運行系統。 憑藉其專利 HyperCore™ 技術，HC3 自我修復平台能夠實時自動識別、緩解和修復基礎設施問題，讓應用程式實現最長的正常運行時間。若您重視易用性、高可用性及總體擁有成本 (TCO)，Scale Computing HC3 將是您理想的基礎設施平台。