与传统解决方案的孤立复杂性相比，Arista 园区认知云网络采用简化的方法来解决园区网络挑战。基于构建现代云数据中心所用相同的开放云网络原则，Arista 的认知云网络利用 EOS® 和 CloudVision® 将通用云网络 (UCN) 架构延伸到园区。采用一致的软件驱动方法可降低复杂性，从而提高可靠性和性能，精简自动化、监控和安全保障。

 

推荐视频：Arista Networks 介绍认知园区

Arista 的园区认知云网络基于三个原则：

通用云网络 - 作为传统供应商脆弱的专有解决方案的替代品，Arista UCN 是一种基于标准的开放型设计，专注于软件驱动的控制原则。Arista 的折叠 Spline™ 方法将传统的园区核心和聚合层整合为一个具有高可用性的简单单层。

认知管理平面 - 管理平面的一致性存在严重缺陷，园区与数据中心一样，需要数据驱动的分析。Arista 认为，可以在两者之间应用通用模型，从而节省客户的运营成本。认知管理平面基于 Arista CloudVision，是一个数据驱动的存储库，用于跨网络分析的自动化操作。

确保园区安全 - 保护园区样条需要采用全面的方法进行网络分段、设备合规和审计，以及与 Arista 安全合作伙伴的服务集成。Arista 通过 EOS 和 CloudVision 提供这些功能。

Arista Cognitive Unified Edge (CUE)

Commercial Business requirements are driving accelerated adoption of cloud based applications; this requires a highly adaptive networking edge, that is secure, mobile, compliant and ubiquitous whether in the office, working remote, or onboarding a myriad of IoT devices. Just as Data Centers have moved from rigid, highly structured infrastructures, to agile on demand infrastructures as a service, so has the need for Campus networks to move to Edge as a Service. Arista’s Cognitive Unified Edge (CUE) enables this market transition by encompassing a comprehensive portfolio of services that leverages Arista’s EOS Network Data Lake and advanced AI capabilities optimized for commercial and mid market customers to deliver an integrated management platform with built-in automation, visibility and security for wireless, wired and WAN network infrastructure.

Featured Video: Introducing Arista Cognitive Unified Edge

 

Featured Video: Arista Network CUE Solution Overview

 

 

 

CUE- The Next Evolution in Edge Communications

The next technology evolution in commercial campus networks whether small branches or large headquarter buildings stretches well beyond bandwidth capacity upgrades. Hardware is easily keeping pace with bandwidth needs, driven by Moore’s productivity law where high volume commodity chip technologies are quadrupling bandwidth speeds every 2-3 years.

Of bigger importance is designing these networks where they can be easily deployed, maintained, secured, and amortized especially as the number of services these networks offer continue to expand. Customers must look beyond gigabits per second, and the latest Wi-Fi access points offerings when choosing their edge networking solutions. They must take a cloud centric networking approach where many of the design principles that have transformed data centers to cloud infrastructures are similarly leveraged. At a high level this cloud centric approach views infrastructure as a combined set of services, where business outcomes are more easily mapped to a set of integrated IT technologies.

Automation, artificial data intelligence, pro-active remediation, advanced telemetry, virtualization, segmentation, video broadcasting, and simplified topology designs are just several of the technologies that embody a cloud centric network. All of these technologies are directly applicable to campus networks. The combination of these technologies, working together as a solution rich with a number of services, is what Arista defines as the Cognitive Unified Edge (CUE) and has many use cases from single site deployments to distributed branch and cloud:

 

CUE Hardware Portfolio

 

CUE Use Cases

CUE Literature

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Solution Briefs

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