Tendencias de edge computing y su futuro

Edge computing and its future

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Edge computing is a type of computing that occurs at the user’s physical location, from the data source, or close to them. Thanks to this, users can enjoy faster and more reliable services. At the same time, companies can use and distribute a shared set of resources at various locations.

Even though there are several well-known aspects of edge computing, its panorama keeps evolving. Doing so helps business and IT leaders to solve problems. This happens as data from sensors and machine learning increases.

Likewise, it is necessary to talk about different concerns arising from edge computing, particularly IoT and 5G. It is important to remember that there is a high volume of data that, to be sent to the cloud, demands enormous expenditure on infrastructure and associated fees to transport them and transmission times.

And this is since organizations call for almost instantaneous results for implementations such as IoT and 5G, where even one-second delays are too much.

Now, even though some edge computing implementations still have traces of older architectures, the truth is that some edge computing trends are significantly new. Those trends, precisely, are the ones helping business and IT leaders solve problems across different sectors.

Edge computing trends to be considered for 2022

According to the team of consultants at Red Hat, there are currently six trends that organizations must consider when it comes to edge computing.

  1. Increase in workloads:

Edge features more computing and storage. For example, currently, IoT joins multiple data flowing from a myriad of sensors needed by machine learning applications. And since the ongoing application of these models usually moves to the edge of the network, bandwidth requirement risks drop and allow swifter enabling at a local level. The aim is to provide information to take measures at the right time.

  1. RISC-V:

RISC-V has an open focus across its design sectors. Its twist towards edge computing allows us to observe great investment in this ecosystem. This happens from multinational companies to emerging companies that design innovative solutions for Edge and AI.

  1. vRAN use of Edge:

Virtualized Radio Access Networks(vRANs) enable and connect devices such as smartphones or IoT and 5G devices to mobile networks. Their implementation drops the total cost of ownership of the network up to 44% compared with distributed /centralized, traditional RAN configurations. This simplifies network operations and increases flexibility, availability, and efficiency.

  1. Scalability to boost operational approaches:

In this case, we can discuss four basic steps to handle scalability: standardization, minimization of operational surface, prioritization of pulls over pushes, and automation of small things.

  1. Certification needs:

The focus must be highly scalable; otherwise, its uses and benefits will be reduced. This means that technologies to verify computing devices are necessary so that they may start and continue working in a reliable need-based way.

  1. Confidential computing:

 Edge computing security calls for more comprehensive preparation. Aside from encryption of local storage and connection to more centralized systems, confidential computing offers the capacity to encrypt data while being used by an edge computing device.

At NGIN Services, we work to offer our clients solutions for their IT areas and results based upon new current and future computing trends, such as edge computing. Contact us!