Computing is evolving so fast that cloud computing has no longer remained the only technology in the data management field. Some parallel technologies have already made their debut and their future seems to be much brighter. Edge computing is one of those names.
Cloud computing is already a successful model with countless future possibilities. Still, modern computing requirements have some different expectations. In this article, we are going to conduct a comprehensive analysis of both cloud and edge computing. Before diving deeper, let’s clear some basic information concepts.
What is Edge Computing?
Distributed paradigm can be referred to as the term “Edge computing.” It puts data storage and computation power closer to the device or data source that requires it. Information isn’t filtered through distant data centres before being processed in the cloud; rather, the cloud comes to you. This method reduces lag and conserves bandwidth.
Edge Computing, opposite to “IoT,” is a different approach to the cloud environment. It’s all about processing real-time data close to the data source, which is referred to as the network’s ‘edge.’ Instead of using a centralised cloud, data centre, or data storage facility, it’s about operating applications as close to the source of the data as possible.
Let’s understand it with a simple instance that most of us experience in our daily life. An Edge computing device is a computer that calculates fuel consumption automatically on the basis of data received from the sensors equipped in a vehicle.
What is Cloud Computing?
Computing as a distributed paradigm is referred to as “Edge computing.” It brings data storage and computation power closer to the device or data source that needs it the most. Information isn’t filtered through distant data centres before being processed in the cloud; instead, the cloud comes to you.
Despite the fact that cloud computing provides far more resources and services than traditional data centres, the nearest regional cloud facility can be hundreds of miles away from where data is collected, and connections rely on the same fickle internet connectivity that supports traditional data centres.
Why does Edge Computing Technology need to come into existence?
Cloud computing technology favours a centralised server infrastructure, which isn’t necessarily appropriate in all circumstances. Because data and other related technologies are always improving, a centralised approach isn’t always the best option. Edge computing is capable of handling this issue proficiently by concentrating on processing power.
It provides a practical answer to the growing network issues involved with transporting the massive amounts of data that today’s businesses generate and consume.
Comprehensive Analysis of Edge and Cloud Computing
| Differentiation Factors | Edge Computing | Cloud Computing |
| Businesses Compatibility | Edge Computing is considered more compatible with high-latency processes. Consequently, it can help medium-sized firms with restricted resources to save money. | Cloud computing is a better match for projects and organisations that deal with large amounts of data. |
| Programming | Programming can be done on a variety of platforms, each with its own set of run times. | Clouds are more suited for actual programming because they are often built for a single target platform and employ a single programming language. |
| Cyber security | Edge computing necessitates a comprehensive security strategy that includes improved authentication methods and proactive attack detection. | It necessitates a less rigorous security strategy. |
Read More: Cloud Computing: Pros And Cons
Advantages
- Sovereignty of data
Edge computing can be utilised to maintain data close to its source while staying within the parameters of existing data sovereignty regulations. For instance, GDPR regulates the way data should be processed, stored and exposed in the European Union.
- Smart Automation
This computing technology is beneficial in situations when connectivity is intermittent or bandwidth is limited due to environmental factors. The amount of data that must be sent can be greatly decreased by processing it locally, needing less bandwidth and connectivity time than would otherwise be required.
- Robust Security
Even if IoT device security is still insufficient, by placing computing at the edge, any data travelling over the network back to the cloud or data centre can be encrypted. Moreover, the edge deployment itself can be safeguarded against hackers and other harmful actions.
Applications of Edge Computing
Right now, edge computing technology is aiding multiple industries. Below is a list of its most applications:-
- Manufacturing industry
- Network optimisation
- Farming
- Healthcare infrastructure
- Workplace safety
- Retail business
- Logistics
Final Words
Bandwidth, latency and congestion are the three major concerns for which edge computing technology came into existence. Still, it cannot replace cloud computing entirely because of the limitations and challenges such as high cost, limited data processing, difficult maintenance and huge storage requirements. In the computing industry, cloud and edge will complement each other.