Edge Computing Technologies for a Better IoT Ecosystem

According to worldwide IoT forecasts, by the year 2020, edge computing or infrastructure will reach 18% of the total spend on IoT infrastructure. The spending pattern is based on deployment of the IT systems that help to reduce time to value of the data collected from different connected devices.

According to data, Global edge computing technology or market will reach $6.72 billion by 2022 with an annual growth rate of 34%. Currently, about 10% of the data is processed and created outside the centralized data center or cloud. By 2020, the figure is expected to reach about 50%.
What is Edge computing in IoT?

Edge computing is a solution that facilitates data processing at the source of data generation. Integrated with the internet of things that is IoT, the possible sources of data generation are things with the sensors or other embedded devices. Edge computing is a decentralized extension of campus, data center networks or cloud.

With the general forecast of 30 billion IoT devices, the total amount of data stored in the cloud will be difficult to imagine. For improving the performance and reducing the overall operational costs, there has to be a way out. The best solution for handling the data outside is through the cloud or the edge. An IoT app can help to optimize business solutions and edge technology can help with this.

Why Edge Computing is Vital for IoT Ecosystem?

The computation of data right when the data is processed or produced at the edge of an IoT network is edge computing. Its unlike cloud computing, where the data is stored locally on an IoT device or the nearest network. Every IoT sensor procures tons of data in every possible second. In case of an action, the central data sends back the response to the available device that analyses and receives the acquired data.
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The process is quick and is completed in no time though there may be a delay at times due to weak internet connection or a possible network glitch. It can also happen if the data center is located too far.

If you use edge computing, then there is no need to send the acquired data by IoT Sensors anywhere. The nearest network node or device will process the data and will respond in a manner if required. In a possible situation, IoT will not be dependent on internet connection and it can function as an individual network as well.

IoT edge computing scenarios used across the industries

• Autonomous vehicles:

Have you heard about self-driving cars? It’s the best example of IoT based edge computing technology. A moving car simply can’t rely on the available, remote server. It needs to decide to stop over at crossing or the signals while driving. The decision has to be made on an immediate basis.

The data needs to be processed on the spot itself, this is regardless of available internet connection. The communication of vehicles will become easier as they don’t need to send every data possibly be it weather conditions, traffic or any kind of diversions to the remote server at first.

• Healthcare Devices:

Healthcare sector has seen a complete transformation over the years. IoT edge computing is mostly used in the domain of health monitors or other wearable devices. It can be used in telemedicine that keeps track of a patient’s chronic condition. A heart rate monitor can help to analyze data in an individual.

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