Edge Computing Data Center – An Overview

Edge Computing Data Center: Edge computing has many layers and flavors and is defined in varying size, scope, and market-based to fit the unique requirements of the customers. Edge data centers are designed based on the customer’s needs. Hence, the definition of Edge can range from 10kW to over 10MW.

The network, content, and cloud providers will continue to drive the of Edge’s expansion. Edge proof of concepts is seen in autonomous vehicles, smart cities, and other IoT use cases. These use cases will also help add new flavors to the Edge in 2019 and beyond. The critical business element is to be flexible, fast, and scalable to support the dynamic requirements for these edge use cases.

One can see a heightened focus on enterprise edge computing now than before. Most clients are moving their compute environments closer to their end-users with smaller, more distributed deployments. This evolution creates an excellent opportunity for data center providers. However, it also highlights the importance of flexibility, global scale, and interconnection.

For most medium-to-large enterprises, it’s not enough for a data center provider to be in just one or two markets. They should look for Edge data center providers that give them the flexibility to move capacity between markets without penalty.

Time to provide interconnection and dedicated infrastructure impede edge computing adoption. Enterprises are looking to data center providers that not only offer various, low-latency Edge to cloud providers and cloud edge POPs. They need to easily link their data center to the ecosystem of service providers in a metro region.

The evolution of edge computing that is taking shape now requires early pioneers to be self-sufficient. Many on-premise test facilities are already working with the support of co-alliances, and it appears to be a race just getting started. Artificial intelligence (AI) and Internet of Things (IOT) use cases are becoming standard. Edge computing will continue to see increased adoption to support these use cases.

In 2019 and 2020, 5G buildout will be one extensive, universal phenomenon. Telecom Carriers will need to deploy more compute and storage closer to users to address latency challenges. Also, the Content Delivery Network (CDN) providers will likely expand their regional presence to support streaming and eventually AR/VR applications.

The other primary driver for Edge will be Industry 4.0. There is enormous value in collecting, trending, and analyzing data from manufacturing operations in real-time. However, doing that in the cloud is cost-prohibitive for most data other than top-level reporting. This use case will require to compute on-premise.

In 2019 the edge use case is in High Bandwidth, Large Volume Applications like

  • Mobile HD video
  • Autonomous driving
  • Content delivery
  • Healthcare (imaging and diagnostics)
  • Caching and surveillance
  • Retail

The next round of use cases after that are going to be moved up with 5G enabled-networks for machines-2-machine communication, and machines to talk to humans. We need the new systems to allow the number of simultaneous connections all the devices require.

Today’s Edge computing use cases are still focused on localizing specific business applications/content within colocation facilities in less populated cities. This model is used to maximize performance for particular end-users or disaster recovery. SDN (software-defined networking) encourage to add edge data centers in non-urban cities a viable option. Additionally, with the commoditized cost of fiber, end-users have various choices and negotiating capability to make the most out of their edge deployments.

As we move forward, innovations like Amazon Web Services’ Outpost, Snowball, and Snowmobile will bring real Edge computing closer to mass adoption. Futuristic solutions featuring data center containers deployed in remote, global locations such as telecom towers are already being tested. With comprehensive 5G technology around the corner, smart cities, and game-changing network-based offerings nearing completion like self-driving cars, edge computing is the next step in the evolution. We are in the early stages and a couple of years out still for actual Edge computing adoption, but the momentum is starting to build.

Edge Computing Data Center: Two significant data center trends in 2018 were the dominance of massive, hyper-scale cloud deployments and the emergence of new edge computing architectures. Datacenter products will integrate hyper-scale and edge computing data centers. Edge will also support advanced technologies such as artificial intelligence, Internet of Things, blockchain, virtual reality, big data. Keep an eye on the 100,000+ cell towers in the U.S. as a platform for edge roll-outs.

Footnotes:

  • Mobodexter, Inc based in Redmond, WA builds IoT Edge solutions for enterprises applications on Kubernetes & Dockers.
  • Register now at developers.paasmer.co and enjoy free Edge trial license of Edge Intelligence software that runs on Raspberry Pi.
  • Follow our all our weekly IoT Blogs: https://api.mobodexter.com
  • Our IoT Newsletter reaches 3000+ subscribers– Subscribe Now.
  • Become our affiliate partner today.
%d bloggers like this: