Edge Computing IoT: A Comprehensive Guide(2021)
Because of open architectures, Data pre-processing and filtering, edge analytics, and distributed applications, edge computing becomes one of the important and favourable options for users from various fields, including government firms and industries. Whereas talking about what is Edge computing IoT means different things to different people. It stands for the Internet of Things. Classically the internet is designed to be a network of computing devices and network equipment. For example, CDs, Bluetooth devices, printers, etc. it has a network of devices that is connected to the internet.
Introduction
While connecting the physical things with the internet, we are able to monitor them all 24/7, analyse their usage, and control them in a better way so that we can provide more valuable outcomes to the user in the form of more efficient services, more improved experience through the collaboration of things with autonomous dimensions. This cycle also helps the manufacturers and administrators to work on real-time insights with real-time locations of the client, monetizing value-added services around product usage and get the chance to improve its future products. There are some examples of IoT Edge Computing. Broadly, IOT can be characterized into 3 things.
- Consumer IoT
This includes personal and pet monitoring, smart homes, everyday objects like kitchen appliances, door locks, etc. can be connected.
- Industrial IoT
Different machines in a particular factory can be connected together. Also, in a wind farm in an extremely remote area, then those wind turbines can be monitored with the access of edge computing IoT and the internet.
- Civic IoT
Smart public services like transportation including various sea as well as road links or railway networking. It can also include an electricity grid in a city or a water supply system in the households. Everything which caters to the public falls under this category.
In this article let us look at:
1. Edge computing overview
Edge computing IoT is a place that is used to store data after then analyze it and compute it to meet the requirement of the user. It is done with the help of various networks like the internet. IOT instrument of transferring things is the most common and helpful to rely upon for keep this activity of storage and analyzing without raising the risk of data theft or cyber-attack or any other disturbance caused because of network trafficking.
2. IoT and edge computing
- At the ground level, the things that produce data have been placed.
- At the Next level, gateways are placed, which sends all the data they received from things producing data to the centralized system, i.e., cloud. They usually do not have any processing power in typical IoT architectures.
- At the 3rd level, the cloud is placed. Here the data is stored, analysed, processed, and on this basis, various decisions are made by the manufacturers. Initially, gateways were sent back the control actions from the cloud and were ordered to forward that data back to things.
This is how edge computing IoT works.
3. Benefits
Technically, edge computing IoT is the convergence of many technologies which have been existed for quite some time like sensors or actuators for controlling and monitoring things more efficiently and precisely or smartphone which allow the user to work upon remotely. edge computing IOT also needs other convergence sources to ease the user. Some of them are
- Single Board Computers (SoCs)
- Embedded programming
- Intelligent Devices
- Internet
- Cloud Computing
- Big Data
- Artificial Intelligence
4. IoT and edge devices
IoT edge devices are initially some of the servers that were placed or deported at the end of the nodes, like while providing remote services in a hotel or hospital with the help of network base stations. There are different devices designed to control and handle various computing, networking, and storage resources. According to Infosys, edge computing IoT devices are such end-to-end servers with an encrypted description that majorly focuses on various network functions with a wider view such as connecting the edge deployment to the larger network and acting as a firewall and that firewall is a part of edge computing IoT under the transfer of data.
5. Key takeaways
There are multiple challenges that are faced while using these IOTs by the users and manufacturers. Some of them are: –
- Security
- Privacy
- Interoperability
- Over the air upgrades
- Huge Data Volumes (Data-Intensive)
- Real-time actionable insights
- Standardization has not kept pace with the growth.
Conclusion
This article covers various aspects and dimensions of edge computing IoT, what exactly edge computing IoT sounds like and how it is used, its systematic structure of working. Also, this article throws light on both IoT and edge computing devices, about edge analytics in the internet of things, Edge computing in IOT based manufacturing, and various IoT edge computing platform. the key takeaways area not only conclude the importance and benefits but also throw an impression about the limitation side of the IoT and edge computing.
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