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Edge Computing, you’ve got it!

Edge computing is a distributed computing prototype which brings computation and data storage closer to the location where it is needed by improving response times and save bandwidth. This open IT architecture features decentralized processing power, enabling mobile computing and Internet of Things (IoT) technologies.

 

 Why edge computing?   

Edge computing allows smart applications and devices to respond instantaneously by eliminating the lagging time.

Large amounts of data can be processed near the source using edge computing, reducing Internet bandwidth usage. This both eliminates costs and ensures that applications can be used effectively in remote locations.

 

Classifications of edge computing:

In general, there are three types of edge computing:

  • Local devices Computing for a defined and specified purpose. These are easy to install and maintain.

  • Localized data centers for storage and processing powers. These are pre-engineered and made to order and assembled on-site. They are good for saving on capital expenditures (CAPEX).

  • Regional data centers are located closer to the data source than the centralized cloud data center. They will have higher storage and processing power than localized data centers but are costlier and need more maintenance. 

Applications of edge computing: 

IOT and edge computing:

  • In cloud computing, the data are instantly transferred to the central, unified cloud database where it is processed and stored. There might be situations when the response may be delayed or interrupted. This can happen due to a network glitch, weak internet connection, or simply because the data center is located too far from the device. In case of edge computing, the device itself handles data processing and responds in a proper manner if action is required.

  • Needs edge computing to achieve new capabilities in processing and analyzing towards the edge.  

  • Edge computing solutions may enhance the data processing power by avoiding the delay.

  • Lower data traffic and reduced cloud storage lead to more efficient business operations.

Cyber security and Edge computing:

  • The cloud brings with it a host of cyber security issues. Some of them relate to the inherent nature of cloud computing, and others are exploited by hackers through precise design processes. 

  • By adopting edge computing, it expands your network attack surface, compromising traditional security and performance monitoring methods.

  • Edge computing discovers smart strategies to boost your security and capture dynamic network intelligence from your network’s edge.

  • Networks that use edge computing lack a single weak point and as such are less vulnerable. Even if a device is infiltrated, only a limited amount of data will be affected.

5G and Edge computing:

  • Edge Computing locates processing power closer to where data collection actually takes place. The combination of Edge Computing with 5G technology covers detailed emerging cases and outlines the stringent requirements needed to facilitate advanced mobility, computing, storage capabilities for emerging 5G wireless networks.

  • Edge computing and network transformation will lead operators to enable new low-latency scenarios in Augmented Reality, V2X transportation, manufacturing, health, education and beyond.

  • 5G incorporates edge computing in wireless networks with emerging open source initiatives and standards to manage data across the network, from radio access, transport, to the core – enabling powerful new capabilities like network slicing.

The Future of Edge Computing:

  • With the edge computing framework, organizations will be able to extend network services into areas that were previously beyond the reach of traditional architecture.

  • Edge computing can provide new functionality that wasn’t previously available to process and analyze the data at the edge, which makes it possible to do so in real time.

With more and more internet-connected devices hitting the market, innovative organizations have just started on researching what’s possible with edge computing.