What is Edge Computing?
The cloud-based systems at the core of an enterprise network are being replaced with micro data centers that process data that is vital for making sense of its business logic and its products and services. Moreover, new machines and systems are being added to the network that are at the periphery. These are termed edge nodes. On the other hand, data is processed in real-time and thus services are built around the user’s needs. Edge computing allows the data to be processed without traveling too much from the servers at the core of the network.
What are the advantages of Edge Computing?
Edge Computing can be more efficient and effective More flexible Lesser latency Some of the many advantages that Edge Computing offers are below: Multi-layer security, secure communication, and privacy for data. Be used to load balance connections between data centers Adaptive traffic management system and intelligent caching, which helps to lower traffic congestion Ability to offer different data access options to the users depending on their needs What are the disadvantages of Edge Computing? Cumbersome and effort-intensive due to the requirement of changing IT system Inability to support distributed cloud services Security of data can be complicated Keep up with the latest trends in the industry with the help of the following infographic by TCN.
How is Edge Computing different from a traditional data center?
Typically, the data center is far from where the data is created and stored. The data center is relatively distant to end users, so latency, bandwidth and connectivity issues are high. A traditional data center must process data from the perimeter to the core. When there is a need for a faster response, data is taken to the core. The idea of the edge is that data is processed near the point of creation or near the point of use. What are the benefits of Edge Computing? The benefits of edge computing are fairly simple: Edge computing allows companies to develop applications without having to worry about creating and maintaining data centers With edge computing, users can share data quickly, reducing network latency and delivering a superior user experience.
Edge Computing in Practice:
Edge computing is implemented using a series of servers or small ‘nodes’ that reside on the edge of the network. These nodes are connected to each other, forming a distributed computing environment. When there is an application that needs more computing power and has to do heavy calculations in real-time, it is processed at the edge of the network where the server is located. This allows for the application to have a higher throughput and utilization rate. The other benefit is that the server will be closer to the end-user, which means latency will be lower. This results in the reduction of the dependency on internet connectivity.
Edge computing has become one of the hottest trends in the IT sector over the last decade. This phenomenon is also often called the fifth major wave in the computing era. There are several things that differentiate it from other wave movements. Edge computing is one of the first things that separate it from the previous waves. An important reason is that edge computing is not simply a network function. However, it also does not need to be installed inside the data center. In order to implement an edge-computing architecture, a computer or the related hardware must be located at the periphery of a network. The reason is that edge computing architectures have to solve different types of problems. One of the problems that edge computing has to solve is latency.