Edge Computing To Bypass Latency Caused by Cloud Computing

Apr 25, 2022
4 min read

Take a moment to look around you. You might be at work, in your organization, or at home. Every element of our lives conveys a single, clear message - that our world has entered the era of hyperconnectivity.

These are the times when gadgets, data, and software applications actively communicate with one another. They are exchanging data amongst and among diverse systems designed to do everything from protecting our homes to managing huge company databases.

IT and corporate computing are being revolutionized by edge computing. Now let us look at what edge computing is, how it works, the cloud's effect, and how it bypasses latency in detail.

What Do We Mean by Edge Computing?

Edge computing is a shared information technology (IT) system that transfers some computation and storage facilities away from the central network infrastructure and closer to the data's source.

Edge computing, in its most primary form, moves certain computing and storage assets out from the central data center and closer to the data source. Instead of sending raw data to a data center for processing and interpretation, this process is carried out where the data is created. That can be in a retail store, a manufacturing floor, a large utility, or throughout a smart city.

Just the results of that computer effort at the edge are transmitted directly to the central data center for evaluation and other social interactions. Examples of these interactions may be real-time business insights, equipment maintenance forecasts, or other practical solutions.

Why Do We Need Edge Computing?

Businesses today rely on data to provide crucial corporate insight and real-time management over essential company systems and processes. In a world where data is everywhere, connectivity is of the utmost importance, regardless of your location. However, bandwidth problems or latency issues can hinder our access to such data in real-time. This is where edge computing comes in.

Computational tasks need appropriate designs. But an infrastructure that is appropriate for one type of computing activity may not be appropriate for all sorts of computational activities. Edge computing has developed as an essential and feasible paradigm for parallel programming. This has helped in allowing computation and storage resources to be brought closer to the data source, ideally in the same geographical space.

Some of the main features that make edge computing necessary are as follows:

  • Diminished latency and faster speed
  • Enhanced security and privacy measures
  • Operational cost savings/reductions
  • Scalability
  • Consistency and robustness

In general, distributed computing approaches aren't new, and the notions of remote offices, branch offices, data center hosting, and cloud-based services are well-established.

Benefits of Edge Computing

Researchers suggest that computational resources will be likely to be divided between the core and the edge, with specific scenarios defining whether edge computing should be employed over centralized computer resources, as well as connection, expense, and latency factors.

Let's discuss some of the above-mentioned features of edge computing in detail.

Reducing Latency and Providing Faster Speed

The time it takes to deliver data between two places on a network is known as latency. Data transfer can be impeded by enormous physical distances combined with network congestion or downtime. This slows down all analytics and decision-making processes, limiting a system's capacity to operate in real-time.

Edge computing lowers the time it takes for data to be transmitted and processed and the action that must be taken at the end. Most of the raw data generally does not need to be transmitted up to the cloud to be processed and analyzed. This is one of the crucial reasons why assessment and event processing can be performed more rapidly and cost-efficiently. The cycle can be reduced to a few milliseconds using edge computing.

Increased Privacy and Data Security Measures

Since data is kept near to the edge and hence away from centralized databases, edge computing can provide greater privacy and security measures. Edge devices are still susceptible to cyberattacks, especially if they aren't properly secured. Edge technologies, on the other hand, retain relatively little quantities of data and, in many cases, insufficient data sets that hackers may exploit.

In simple terms, terminal data saved on centralized servers are more likely to be merged with other data points. This results in a more comprehensive collection of information that hackers may exploit. Edge computing provides a new way to build and maintain security and privacy.

Reduced Operational Costs for Businesses

Price reductions alone may be a major motivator for many businesses looking to implement edge computing. Companies that used the cloud for several of their apps may very well have realized that bandwidth expenses were greater than anticipated and are looking for a less expensive solution. Edge computing might be a good option to turn to.

Through the process of deploying computers at the edge, all data travelling over the system back to the cloud or data center may be encrypted. This way, the edge distribution itself can be protected against hackers and other malicious actions — even if IoT device security is still lacking.

The following are the key advantages of edge computing versus cloud computing:

• Data handling that is better
• Lower connection costs and improved security
• Connection that is consistent and reliable

Edge Computing - Future Possibilities

Edge computing technology is still developing, and emerging innovations and approaches are being used to improve its competitive strength. Edge distribution may be the most notable development, with edge capabilities predicted to be available worldwide by 2028.

Although today's edge computing is frequently situation-specific, the innovation is predicted to be more and more pervasive and change the way people use the web, bringing with it more flexibility and possible application scenarios.