The IoT and Edge Computing Partnership

Abhinav Anand | July 13, 2022 | 163 views | Read Time : 02:19 min

Edge Computing Partnership
Edge computing enables the IoT to move intelligence out to the edge. If organizations have a lot of data and need to use it, they should do so in end-to-end paths, environments with lots of sensors, or environments where a lot of data is generated at the edge, thanks to the Internet of Things (IoT) and edge data sensing. Additionally, traditional methodologies fall short of the necessary standards when dealing with real-time information and the growing amount of unstructured data, which includes a sensor and IoT data. For management, power concerns, analytics, real-time needs, and other IoT situations, speed and high-speed data are essential elements. This enables edge computing to handle data.

The Internet of Things (IoT) benefits from having compute capacity close to the location of a physical device or data source. IoT device data needs to be processed at the edge rather than traveling back to a central site before that analysis can be done in order to react quickly or prevent concerns. For the data processing and storage requirements of IoT devices, edge computing serves as a local source.


Benefits of Using IoT and Edge Together

  • The connection between IoT devices and the main IT networks has less latency.
  • Greater operational efficiency and quicker response times.
  • Network bandwidth improvement.
  • When a network connection is lost, the system continues to run offline.
  • Utilizing analytics algorithms and machine learning, local data processing, aggregation, and quick decision-making are possible.
Industrial IoT, often known as IIoT, is the application of IoT in an industrial setting, such as factory machinery. Consider the lifespan of the large, factory-used machinery. Equipment may be stressed differently over time depending on the user, and malfunctions are a regular aspect of operations.

The parts of the machinery that are most prone to damage or misuse can be equipped with IoT sensors. Predictive maintenance can be performed using the data from these sensors, cutting down on overall downtime.

Because IoT devices can be used as Edge Computing, the line between IoT and Edge Computing can occasionally be razor-thin. However, the most significant difference is the ability not only to compute data locally (in real-time) but also to sync that data to a centralized server at a time when it is safe—and feasible—to send.

IoT and edge computing are both here to stay since they fulfill crucial societal and commercial needs.

Spotlight

Covisint

Covisint provides an open, developer-friendly, enterprise-class cloud platform to facilitate the rapid development and deployment of Internet of Things (IoT), Identity Management (IdM), and B2B collaboration solutions. Our platform enables users to securely identify, authenticate and connect users, devices, applications and information, and has been successfully operating globally at enterprise scale for over 12 years. Today, the Covisint platform enables more than 3,000 organizations to connect with more than 212,000 business partners and customers, and supports more than $4 billion in eCommerce transactions annually.

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