With the evolution of cloud computing, many new aspects of computing have emerged in recent years. Cloud computing has revolutionized traditional techniques and increased the flexibility that was previously required in computing. Edge Computing is one of the future fields developed more on the idea of cloud computing. It is one of the most efficient ways for an organization to use and distribute its resources through a common pool and across a large number of locations. It brings the capabilities of cloud computing closer to the end user and devices.
What is Edge Computing?
Edge Computing is a distributed computing architecture where the IT process takes place close to the user’s physical location or the source where the data comes from. By bringing services closer to the user’s location, the services received are faster and more reliable while benefiting from hybrid cloud computing methods. Edge computing reduces the distance between the physical device and the hyperscale cloud, eliminating the trip to cloud data centers, thereby reducing task latency. Rather than pushing the data to the processing and analysis centers, the process is carried out exactly where the data is generated. This technology is changing the way businesses deal with IT and the flow of data, as traditional techniques are not very well suited to the endless growth of real-world data. Application performance does not suffer from latency issues and the data processing load is significantly reduced when using advanced techniques.
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It was mainly developed to help IoT devices and their services. In recent years, the number of used IoT devices that are connected to the Internet to receive information and send it back to the cloud has grown exponentially. In this process, IoT devices generate huge amounts of data and require technique for better data management.
What is an Edge device?
A peripheral device is a piece of equipment that manages the flow of data right at the border between two networks. Its main service is to act as an entry or exit point between the network and to regulate services such as transmission, routing, processing, monitoring and filtering of data from connected networks. Edge devices are primarily used by businesses and service providers. One of the most common types is an edge router which is typically deployed and connected to a WAN and acts as a gateway to other networks. Other edge devices include types of IoT devices such as sensors, peripherals, and actuators. These devices are connected within a local network, connected to the access layer and to end user devices.
Some use cases of peripheral devices include:
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- IoT sensors for vehicles to detect road conditions, vehicle speed, etc. and be connected to a peripheral node for communication between the paths.
- Act as wireless access points and provide wireless connectivity to clients.
- Built-in VPN servers where capabilities are designed to block a malicious user or device connection.
- In DNS service devices that lease an IP address to the client and provide name resolution services for the network.
Benefits of edge computing
The edge computing implementation can contribute to faster, more efficient services with higher stability at much lower costs. Using advanced computing can dramatically reduce network costs, reduce bandwidth issues, and help better control sensitive data. Several types of applications, such as augmented and virtual reality applications, benefit from edge computing. The ability to perform real-time big data analysis enables better instant decision-making. Overall, it creates an efficient mix of hardware and software environments.
Best Edge devices launching in 2021
There have been several launches this year in the area of Edge devices. Here is a list of the best Edge Computing devices launched this year:
Cisco Catalyst IR8100
The Cisco Catalyst is a rugged router designed for industrial use that acts as an IoT gateway. The router is LTE, Wi-SUN, private 5G compatible and comes with a modular design for easy upgrades. The IR8100 provides superb battery backup and comes pre-built with enhanced security and tools for better results. Other features include dust resistance, waterproofing, and integrated Cisco IOx for running applications at the edge. You can read the product overview here.
Eaton 5P UPS
Eaton’s 5P UPS is a industry-leading power backup solution that provides the flexibility to support server rooms, distributed IT infrastructure, and state-of-the-art IT infrastructure. It is available in three variations; rack mount, wall mount, or tower inverter. Eaton’s intelligent power management platform enables seamless management of connected equipment, making this UPS a complete backup solution. To learn more about other similar Eaton products, click here.
Lenovo Think Edge SE50
ThinkEdge SE50 is an advanced data analysis and processing tool for advanced computing. The device is designed to streamline industrial operations and handle real-time data aggregation and processing with higher processing and higher compute capabilities. The SE50 is a fanless device and can withstand extreme temperatures. Expandable network cards allow fast communication between all connected edge devices. To learn more about the product, visit the link here.
Dell PowerEdge XR11
Comprised of 3rd generation Intel Xeon processors, the Dell EMC PowerEdge XR 11 is designed for harsh and demanding environments. Its uses include telecommunications, military operations, retail and catering. In addition, it offers 36 × 86 cores with support for multiple accelerators and memory up to 4 disks. Its long battery life provides services without disruption or major disruption. Click here to learn more about the product.
Microsoft Azure Pro R
Azure Pro R is an edge computing device that provides hardware as a solution. The cloud-managed device acts as a network storage gateway and comes with a built-in GPU for AI-accelerated inference. It provides direct data access to Azure storage blobs using cloud APIs and additional data processing in the cloud. To learn more about how the device can be deployed with an ML model, click here.
Due to several networking requirements and constraints, edge computing addresses use cases that cannot be adequately addressed by traditional cloud computing methods. Next-generation technology offers several benefits and use cases that will enable businesses to make an impact. Edge computing is an exciting and rapidly growing area that needs to be watched.
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