Edge computing and IoT are allowing companies to access more real-time analytics
As the world becomes more and more connected, edge computing has the great potential to provide solutions and other benefits to many companies and organizations.
As IoT is being used more frequently, there is a growing need for faster and more efficient ways of organizing, storing and analyzing data collected from IoT sensors. Organizations using IoT for management of mission-critical or industrial applications require real-time analytics and faster decision making to occur directly on IoT devices or very close to the devices. For example, automated cars or critical pieces of equipment in an automated factory need an instant and almost zero latency response to detected conditions. In order to make this possible, edge computing is being used in combination with IoT devices to eliminate the need to transfer data back and forth between the cloud.
Edge computing refers to the processing of data closer to where it is being generated rather than in a centralized data processing warehouse. Its structure can be described as a mesh network of micro data centers that processes or stores critical data locally. These micro data centers then push all of the received data to one central data center or cloud storage repository in a radius of less than 100 square feet. This means that less of a strain is put on the computing network because less data is sent to the cloud. Edge computing also relies more heavily on the hardware which consist of sensors for collecting the data as well as CPUs or GPUs for processing the data within connected devices.
A key use case for edge computing would be the transportation industry. If we look at trains for example, IoT sensors can be used in order to easily monitor the engines. Edge computing would reduce the need for sensor data to be sent to a data center when operators are trying to determine if the engine is functioning properly. This means that issues can be detected much more quickly, a necessary requirement when human lives hang in the balance. Other applications of edge computing include enabling the connectivity of legacy devices. Edge computing allows for interoperability between modern IoT devices and older devices by converting the communication protocols used by older systems into a language that newer IoT devices can understand.
In addition to enabling interoperability and the speed at which data can be processed, edge computing offers companies many other benefits. Because less data is being transferred to the cloud, there will be less network traffic which is essential as the number of IoT devices is only growing. Lower latency levels allow applications to operate more quickly and efficiently. Another key advantage of edge computing is increased data security. Sensitive data does not need to pass through a network, reducing the impacts of an attack if hackers do gain access to the cloud.
As the world becomes more and more connected, edge computing has the potential to provide solutions for the limitations of traditional data management. SURE Universal is also providing their customers with a complete solution that enables the connectivity and interoperability of IoT devices.