Edge Computing: The Next Big Evolution in Data Processing

Edge Computing

Edge Computing

What makes edge computing as an Instrumental and influential tool in digital transformation

In recent months cloud has received much traction for the role it played in sustaining work culture amid lockdown. But another technology also gained prominence during this period: edge computing. Though the overall footprint of cloud would not recede in the future, the traditional centralized cloud infrastructure is coming across with many handicaps. This includes high latency, low Spectral Efficiency, and non-adaptive machine type of communication. Here is where edge computing eliminates the certain drawbacks of the cloud. Hence, while cloud computing is one of the leading facilitators of digital transformation, edge computing is rapidly emerging to fast-track the pace.

 

What is Edge Computing?

Edge computing refers to a network that encourages decentralized processing power. It decentralizes data from the centralized grid and moves it forward onto distributed networks of the server that are closer to the place of data generation. In this system, instead of directly sharing data to the cloud, it is first sorted, calculated, and interpreted by local devices close by and then sent to the cloud. It enables data processing at the edge of a network instead of holding that processing power in a cloud or a central data warehouse. Because of its ability to cut latency, preserve bandwidth, and moving data-processing closer to end-users and connected IoT devices, experts believe it can beat Cloud computing in being a more preferred alternative. Also, it is cheaper and provides higher speed thanthe cloud. According to a recent report, the total edge computing market size is expected to grow from US$ 2.8 billion in 2019 to US$ 9.0 billion by 2024, at a CAGR of 26.5 percent during the forecast period.

 

Challenges faced in edge:

Despite numerous alluring advantages, companies aren’t latching on to edge computing due to certain inhibiting issues. To facilitate total adoption, these challenges must be addressed.

Licensing issues: There may be chances of hidden licensing costs. The basic version of an edge client might initially have a low price, but with additional functionalities, it can be licensed separately, and this, in turn, drives up the price.

Variety: Due to the humongous variability of edge deployment tools. It is hard for a single vendor to build an entire stack. To resolve this, organizations must ensure interoperability within a multi-vendor hardware and software environment.

Scalability: Edge distribution can comprise up of hundreds to hundreds of thousands of nodes ad clusters. Plus, all these demand management even in locations where there is minimal IT staff. So, having a centralized way to deploy and manage them can reduce the complexity and burden. Otherwise, it can become complicated and costly for IT teams. The Edge applications need to be highly sophisticated and should be able to provide a range of features: data caching in case of lost connections, raw data stream processing to filter, analyze relevant data, message brokering for event-based applications, device management, fault tolerance and many more.

Security: Though edge data processing is safer for everyone involved, this technique isn’t foolproof from malware. For physical security,one can adopt a self-contained system with remote monitoring equipment (such as sensors or cameras) to discourage any unwanted tampering. And for privacy,anonymizing sensitive customer data stored at the edge can be done.

 

Wrapping Up:

While edge computing solutions are encouraged due to the proliferation of IoT connected devices, one must note that edge is not an actual replacement for cloud options. In reality, both technologies have vital and distinct roles within an IT ecosystem. Besides, when coupled with artificial intelligence and big data analytics, a new technology viz., edge intelligence is also set to go mainstream shortly. But before any of these happen, we need to resolve some serious problems faced in edge integration so that it will enable us to utilize the technology to its full potential.