Top Edge Computing Trends and Opportunities for 2022 – CRN


Srinivas Rao, Senior Manager, Systems Engineering, Dell Technologies

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By Srinivas Rao, Senior Manager, System Engineering, Dell Technologies, India

The “do anything from anywhere” economy requires a very complex computer system capable of handling the exponential data it generates. Emerging technologies such as edge computing, 5G, artificial intelligence (AI) and machine learning (ML) are accelerating both the discovery of insights from data and the digitization of key business processes. In the modern era of edge computing, edge computing platforms will provide lightweight designs that can be successfully deployed despite space, environmental, power, and connectivity constraints. These designs can be secure and can support applications that require real-time information, enabling businesses to deliver enhanced experiences to their customers.

The implementation of 5G is also playing a vital role in investment in edge data centers in India, and in 2022 we expect to see consumption-based models, edge computing and multi-platform environments flourish. -cloud. As IT infrastructure becomes more distributed, Dell will always focus on simplification and modernization, while reducing infrastructure costs.

What to look for in 2022

Competitive “advantage” for data management:

As digital transformation continues across industries, modern data management is set to change. Most global data would have to leave the public cloud environment where centralized non-real-time data was managed. We anticipate that the entire data management ecosystem will develop and utilize state-of-the-art computing capability at the ingress and egress of their data pipelines, and remotely process and ingest data at the edge. As the data management ecosystem expands to the edge, the number of edge workloads will continue to grow dramatically, and data management will become a new class of workload.

Software defined edge

In 2022, we expect edge platforms to become more capable and ubiquitous, with workloads and even the public cloud edge shifting to software-defined architectures. The combination of modern edge platforms and software-defined edge systems will be considered the best method of edge deployment in multi-cloud environments. Additionally, software-defined edge workloads will help organizations avoid an unmanageable proliferation of edge infrastructure that could occur if each edge workload created its own dedicated platform.

As enterprises begin to deploy their data, IoT, and application pipelines to the edge, software-defined packages that leverage common computing capability edge platforms will deliver speed, economy, and efficiency because they use an underlying platform of stable capacity. Dell Technologies currently offers edge platforms for all major cloud stacks, using common hardware and delivery mechanisms.

At the end of the line

The future looks bright for edge computing as devices become smarter and computers perform more complicated calculations and send more data. Edge Computing meets the growing demand for fast and secure access to data, in the exact way businesses and consumers want it.

Currently, edge computing integrating AI, IoT, and 5G is expected to add value to business outcomes. Harnessing the value of data with edge computing will not only reduce workloads, but optimize networks and services to deliver flexible offerings to customers. Reliance on internet-connected devices will increase, helping businesses excel in this competitive environment.

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