Edge Computing An Extension of Cloud Technology

Apponward Technology PVT. LTD.

Mr. Mrityunjay Ojha 23.04.2022

Edge Computing is the most often discussed topic in the IoT community. It is taking shape as a result of the increased need to relocate the majority of processing to IoT Sensors in order to minimize latency and improve efficiency. In reality, Edge Computing is expected to be used by about 5.8 billion IoT devices in 2020 for data collection and processing. 

Edge Computing, an extension of cloud technology, enables you to realize the full potential of the massive amounts of untapped data generated by connected devices.

You may discover new business possibilities, improve operational efficiency, and give your consumers faster, more dependable, and consistent experiences.

 

What is Edge Computing?

Edge computing is a “networking process which focuses on data-handling locally away from the centralized or the cloud data repository”. It is a network computing system that puts business applications proximate to data sources like IoT devices and local edge servers. This closeness to data at its core can provide significant business benefits, such as faster insights, faster reaction times, and more bandwidth availability.

It helps to minimize the disruptions caused by data transfer in the cloud or central data reservoirs. It simply means running fewer processes in the cloud and more in the local or individual sources such as tablets, laptops, IoT devices, etc. This kind of network engineering is helping in improving the network security as well as diminishing the long-distance communication between the client and server.

 

What is the significance of Edge Computing?

Computing tasks necessitate appropriate designs, and an architecture that is appropriate for one sort of computing activity may not be appropriate for all sorts of computing tasks. Edge computing has developed as a feasible and essential architecture for distributed computing, allowing computation and storage resources to be deployed closer to the data source, preferably in the same geographical space. Distributed computing systems aren't new, and the notions of remote offices, cloud computing, and data centre colocation are well-established.

Since the data delivered to the cloud isn't sent via the network, Edge Computing is absolutely secure. The fewer data you have, the lower your risk.

Edge devices, on the other hand, require more attention and should be designed with data encryption, VPNs (Virtual Private Networks), and access control in mind.

Together, the Edge Computing architecture and the Cloud can more effectively process and store data.

 

What are the advantages of Edge Computing?

After knowing much about Edge Computing, let’s have a look at its benefits:

  • Utilizing standardized technologies such as Docker helps to adapt different platform structures along with code reusability.
  • Enablement of intelligent data accumulation to effectively use the bandwidth in remote regions like dams, oil rigs, etc.
  • Utilising the local computation to provide Machine learning and data analytics.
  • Reusing the existing devices to derive intelligence from raw data.
  • Evaluative real-time decision-making and ensuring security.
  • Controlling assets and data remotely.

 

Although Edge Computing is dominating the IoT industry, it does have certain limitations.

  • Edge computing has the potential to raise attack norms. As more smart devices, such as IoT devices and edge servers, are added to the mix, the odds of hostile actors increase.
  • It is carried out by IoT devices, which must be capable of doing computations, storing data, and, most importantly, maintaining network connectivity.

 

With the growth of IoT and the resulting avalanche of data that devices generate, edge computing has gained traction. However, because IoT technologies are still in their infancy, the expansion of Smart devices will have an influence on edge computing's future development. The creation of Mini Modular Data Centres (MMDCs) is evidence of such future options. The MMDC is essentially a data centre in a box, including a full data centre within a compact movable system that can be installed close to data- such as throughout a city or region- to bring computation considerably closer to the data without placing the edge at the data itself.



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