Future of Edge Computing
ABI Research director Dimitris Mavrakis said in a recent webinar that, Even during the midpoint of a global pandemic, industrial investigators have predicted that edging computing and complementary 5G network offerings—will see noteworthy growth in the end. Grand View Research analysts have estimated that the market for such a solution is likely to grow up to $43.4 billion from $3.5 billion by the year 2027. Major cloud traders are hard at work positioning more edge servers in native markets and 5G distributions, and expenditure on 5G abilities is supposed to increase next year again.
A distributed network infrastructure approach, edge, is said to enable data is said to be examined and processed closer to its source. This has notable importance for the organization especially in the area of Internet and Things, Big Data Analysis, and Artificial Intelligence.
Red Hat chief technology strategist E.G. Nadhan says, “For edge devices to be smart, they need to process the data they collect, share timely insights, and if applicable, take appropriate action. Edge computing is the science of having the edge devices do this without the need for the data to be transported to another server environment.” “Put another way, edge computing brings the data and the compute closest to the point of interaction.”
Jason Mann, vice president of IoT at SAS says, “The overarching benefit of edge computing today is tied to opportunity. IT leaders should seize the opportunity to help the business speed up decision making so they can reduce costs, enhance customer engagement, and ensure privacy.”
Key Edge Computing trends
As edge computing grows up to be more real and potential transformation alternative for enterprises IT organizations, there a quite a few trend technology leaders that should be kept an eye on in the coming years:
The Cloud will move to the edge: Dave McCarthy, a research director within IDC’s worldwide infrastructure says, “For the last decade, cloud service providers have stood behind the message that anything and everything is on a trajectory to the cloud.” He focuses on edge strategies. They offered Hybrid architectures, which were a temporary bridge between on-premise and cloud data centers.
But the plan has changed. Most of the major cloud provider has come up with the idea that it is best if the workload distribution is done to the places where they run the best. “ Hybrid is no longer a dirty word,” McCarthy says. Cloud service providers have started providing solutions that extend on-device and is collaborating with co-location providers and network providers to sanction enterprise to install an application in the city or neighborhood.
For IT organizations that have adopted cloud-native applications, these new services make it easy to overcome the latency challenges that can exist with hyper-scale availability zones – McCarthy
5G delays are expected: Last year few major wireless carriers have launched 5G or the fifth generation of connectivity in some cities in the United States. However, the expansion of the 5G networking will surely be slowed down due to the pandemic caused by the Covid-19. “IT leaders should be aware of 5G progress,” says Seth Robinson, senior director of technology analysis at CompTIA, “but architecting solutions that leverage edge computing can happen with the existing infrastructure.”
Next-generation Networking will come down to Earth: 5G is a great advancement but IT knows that it will not provide an extremely immediate and effective solution to a problem. CompTIA’s Robinson says, “5G extends the platform that applications are built on. In some cases, this will allow the creation of new applications, but in many cases, it will simply allow existing applications to work better.” Stephen Blum, CTO, and co-founder at PubNub say, “[The vast majority of] APIs are centralized in one or two data centers, so these businesses will not gain the benefits of 5G and are missing edge messaging connectivity.” IT leaders can bring up their connectivity speed with 5G and deliver a near-instant experience in communication, only by acquiring data streaming edge messaging solutions or constructing a network with greater geographical distribution access.
Edge will breathe into all that loT data: The search for new business insight is driving many enterprises to invest in loT. Nevertheless, IDC’s McCarthy says, “most underestimated the volume of data that connected devices can generate and how hard it is to separate important data from the chaff.”
The cost of transmitting and storing data without much clear benefit has made many wonders whether loT was worth the hype. “That is why the industry is pivoting to edge computing,” McCarthy says. “By processing data closer to the point of generation, it is possible to avoid unnecessary communication and storage costs while simultaneously applying machine learning and AI to identify data patterns that have an impact to the business.”
Some proofs of concepts with fail: The guidance to much-emerging technology solution is, start small, fail fast, scale what works. However, this may not be the best approach for the edge. Mann of SAS says IT leaders to think big from the start. “Edge computing plans and architectures must be developed with operationalizing the entire enterprise in mind. Proof of concept models rarely work,” he says.
He also adds, “You don’t have to start from scratch. Capabilities are in place now and ecosystems are already formed to accelerate your efforts.”
IT and operation technology (OT) will converge: Previously, companies in the manufacturing, transportation, and oil & gas industries have had separate organizations to manage the enterprise IT systems and industrial operations. “As these companies look to modernize infrastructure to implement predictive maintenance solutions or real-time optimization, cross-functional teams emerged to tie these two worlds together, and edge computing has become the common denominator,” says IDC’s McCarthy.
Companies can combine IT and OT workloads with the help of a software-defined approach and common hardware. The key will be collaboration. McCarthy says, “OT engineers build for function and IT engineers build for scale, so it is important for both sides to share perspectives and work towards a common goal.”
Digital transformation fuels edge interest: Robinson of CompTIA says, “Many companies are leveraging new technology to compete in a digital economy, and the massive ripple effects from COVID-19 make these efforts even more critical. “As companies further digitize their operations and explore new data streams that help inform business decisions, they will be more interested in edge computing as an extension of their cloud model.”