Edge Computing is a new distributed computing paradigm that brings data storage and processing closer to the area where it’s needed to boost response times and conserve bandwidth. With the increase in mobile computing and the demand for real-time processing, the cloud has provided developers with an alternative to traditional servers for storing critical applications and information. This also means more elasticity for businesses that previously used expensive dedicated servers. On the one hand, the use of virtualization also provides IT, managers, with a way to move applications closer to their target users. On the other, they can also reduce costs by re-arranging server loads and better position websites on their hardware.
Virtualization – Using virtualization to leverage both central and edge devices for computing offers two main benefits. By taking advantage of a service provider’s expertise in designing and maintaining virtual servers and workstations a business is able to take advantage of a better vantage point. For instance, by leveraging their expertise with hypervisor and operating system management, businesses are able to get better performance from their edge devices, while reducing IT costs. Many businesses see this as one of the main advantages of using virtualization for edge computing.
The first benefit to be discussed in this article is the utilization of a virtual private server by a business. Many businesses have already taken advantage of this by deploying a hub-and-spoke model where a single server is hosted within one physical location. Hub-and-spoke allows data to be divided amongst several tenants without requiring large investments in IT equipment. However, the availability of a virtual private server at a lower price than a physical server may not guarantee the best performance, especially if the hub and spokes are physically located in different regions.
By leveraging multiple virtual servers for data processing, edge computing is the practice of processing data close to where it originated, rather than in a remote location. This eliminates the need to build infrastructure that will support the traffic generated by the application at a later date. By leveraging multiple virtual servers, also reduces IT costs since the applications can be provisioned and hosted in a geographically distant manner. However, virtual private servers still must have reliable network connectivity, because edge consumers may use public or third-party networks to access the applications. In addition, edge computing may not be suitable for applications with sensitive data that must be protected from unauthorized access.
Another common type of edge computing is the capture, instead of storing, non-technical information close to its source. This includes but is not limited to, financial and customer databases. When non-technical users access the data, it could easily be corrupted. In addition, the information is stored on expensive, non-outsourceable hardware, which means that the data cannot be moved to other storage devices. This practice is often considered to be more effective than storing non-technical information close to its source because it can prevent corruption due to human error or mechanical failure. However, the effectiveness of this technique depends upon the quality of the service provider.
Also called “genuine” computing, this form of computing brings together hardware and software, including networking, storage, and memory, along with the application. This reduces the cost of ownership while maintaining optimal service and performance. To be categorized as “genuine” (or pure) computing, the computer services offered must meet stringent requirements, including reliability, scalability, and availability. While many third-party vendors offer solutions that meet these requirements, many expert developers design their own products to provide a superior solution. In this case, the solutions are often offered as appliances or self-contained units.
In addition to virtual private servers and the Internet, edge computing has a few primary sources. One of the most well-known examples of the development of edge devices is the use of smart objects. Smart objects, also known as “smart devices” or “intelligent systems,” run applications in the background without being connected to the network. Examples of smart objects include digital signage seen in retail stores, traffic signs, and voice-activation options found in ATM machines. Another primary development in the area of edge computing involves the development of software as a service (SaaS). The use of SaaS allows companies to develop and deliver applications and services on the cloud, instead of in-house, reducing costs and improving productivity.
Scalability is another benefit provided by the cloud environment. As opposed to traditional infrastructure-based computing, in which upgrades are required, cloud computing allows for constant improvement through the use of virtualization and storage improvements. Finally, improved scalability enables companies to make the most of their resources. By leveraging the security, scalability, and storage capabilities of a virtual server environment, an enterprise can improve deployment, reduce IT costs and expand capacity when needed.