Edge Computing: Benefits and Future Applications
Internet progression causes a vast number of data generation and data consumption. Edge computing makes it easier to process the accumulated data and provides the essential solution in the proximity where the data is generated. Moreover, this brings the computer resources and data sources closer thereby minimising the latency and bandwidth which helps in making better decisions in milliseconds.
Additionally, this provides computer capabilities to the sources where it is generated and consumed. The Internet of Things, computer architecture and cloud computing act as a base for developing edge computing. Let’s explore the application and its future benefits regarding edge computing.
Types of Edge Computing:
Sensor Edge: Sensors are used to observe agricultural fields to ensure soil moisture, weather conditions, pest identification and more. These sensors collect real-time data from a particular field. Information that is gained is shared for further processing using edge computing. this aids in detecting early disease in the crops, humidity, watering schedule and so on.
Industries use sensors to monitor the conditions of equipment, maintenance and more. The collected details are shared and an edge computing technique is used to process all the data to make a better decision within a fraction of seconds.
Device Edge: Device edge or device edge intelligence will connect all devices to share the data derived from each element. This collectively assimilated information is analysed using edge computing. Moreover, this technique helps in reducing the time to access data from every interconnected device. Additionally, it enhances communication between the devices. Smart security, smartwatches, and smart thermostats are all examples of device edge.
Mobile Edge Computing: Mobile Edge helps in processing the collected data within the cloud vicinity. One can connect their smartphones to other devices to complete the desired tasks without causing any delays. Moreover, it can be used in security and surveillance, tracking traffic conditions, identifying theft and more utilizations. Additionally, it can also be used in industries for various purposes.
Fog Computing: Fog computing was developed when the need for analysing huge amounts of data and information was higher. When cloud computing placed its foot in the growing industry, the number of data that is collected is huge. To tackle the situation, fog edge came into existence. This helps to process the collected data in the proximity itself. Hence the bandwidth and response time are reduced considerably. Apart from that, fog computing has a variety of benefits that include selecting the desired data, sending it to the cloud, and aiding in analysing the data to make a quick decision.
Enterprise Edge: These types of edge computing can be used in corporations to connect their sub-branches, headquarters and other remote workers. Enterprise edge offers security and flows various rules to protect the privacy of an organisation. Moreover, government agencies use this technology to share data and enhance collaboration. Educational institutions utilize technology to provide academic-related services. Financial sectors make use of enterprise edge computing to protect customer data, manage ATM services and provide online banking services. Furthermore, this technology is used in industries to access employees who are in remote locations via virtual private networks (VPN).
Future of Edge Computing:
In the future edge computing can be used in numerous applications including cars, home alliances, street lights and industries. Human intervention can be minimised and vast amounts of data can be stored and retrieved in proximity without connecting to the central computer. This reduces the time to transfer data from where it is generated to the central server. Moreover, the necessary space needed to store ample data can also be minimised. Decisions can be taken instantly because information is processed in the places where it gets generated.
5G connectivity will increase data transmission faster, as this will enhance the communication between the server and the connected devices. Various platforms need quick decisions including self-driving cars and monitoring traffic conditions.
Artificial intelligence can be incorporated into edge computing, where most of the tasks can be taken care of by AI without transferring your data to the distant central computer. Moreover, this improves user privacy and reduces latency.
Sensors that are connected to the devices will communicate with each other to improve productivity and minimise human intervention. Transformation in edge computing will have more promising advantages than we could ever imagine. Evolving technology makes us stand at the edge by improving its performance and overall productivity. Edge computing lends a helping hand in processing data near the source itself. Also, it acts as a foundation for upcoming technical advancements.
