EdgeNet Compute & Delivery Network

EdgeNet Compute & Delivery Network – Introduction

1. Introduction

The age of Edge Computing has arrived with the combination of billions of connected devices (25B by 2021)[1] and the demand for content rich, high performance applications. The Edge Internet economy is estimated to be $4T by 2030.[2] Consumers want personalized entertainment, transportation, education, healthcare, shopping experiences, etc. and businesses want to offer personalized products and services at higher quality, greater velocity, and lower total costs. The resulting Edge workloads from these demands will be portable and located where bandwidth, latency, autonomy and regulatory/compliance requirements are all balanced and optimized.[3] In essence: The Edge is best described as “Computing meets Connectivity at the point of Consumption.”

 

Figure 1 Key Drivers of the Edge

Two large classes of customers are driving demand for Edge services:

  1. Consumers are hungry for media (video, gaming, rich communication) creating the demand for Edge network services like video CDNs and interactive gaming.
  2. Enterprises such as factories, hospitals, and cities are creating demand for Edge services like AI enabled manufacturing, retail, healthcare, surveillance, deployed on-premise and nearby in the network & regional cloud DCs.

Key Drivers

The key drivers for the Edge are: Latency, Bandwidth, Automation, Autonomy, and Compliance. These drivers require investments in Edge platforms at multiple points of a network: On-premise of an enterprise, at a Tower/Base Station Site, and at various types of Metro Data Centers/Central Offices. However, all of these Edge platforms must be interconnected and orchestrated seamlessly for Edge applications to perform properly.

EdgeNet is an Edge-first purpose-built Edge cloud distributed software platform based on the design concept that separates the control plane from both the data plane as well as the user plane processing at every layer including the network/mobility, cloud and application layers. It publishes and delivers applications and content from distributed Micro and Metro edge data centers across the Internet and close to users who consume such data remotely. More importantly, EdgeNet abstracts the entire edge network access and transforms such network access into open APIs by leveraging the software defined mobile edge or SD-ME. In addition, SD-ME abstracts the cloud and application layers and makes open, programmable APIs available for Enterprises and Developers to consume in building their own 5G Edge services in minutes. Alef’s EdgeNet solution will not only distribute and deliver Enterprise customer desired applications and content data at EdgeNet sites such as Micro-Edge sites, but also provides secure and private data access to the public clouds such as AWS, Azure and Google cloud from Micro-Edge sites via private peering presented in the form of Edge Peering APIs. So in essence, EdgeNet can integrate distributed edge compute and data delivery with securely protected public cloud access maximizing the investment made in today’s applications that run on these public clouds.

1 Gartner 200 Enterprises Detail Their Use Case for Edge Computing, Gartner IT Infrastructure, Operations & Cloud Strategies Conference, 09-12 Dec 2019

2 Chetan Sharma Consulting, Connected Intelligence 2030, 2019

3 Gartner 200 Enterprises Detail Their Use Case for Edge Computing, Gartner IT Infrastructure, Operations & Cloud Strategies Conference, 09-12 Dec 2019

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