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Today’s businesses are often defined by the performance of their networks like https://beeksgroup.com/. Organizations are continually seeking methods to increase network efficiency to give better, quicker, and more reliable services to their customers, who are under pressure from customers and SLA uptime needs from their clients. Consequently, in recent years, the issue of edge computing architecture has risen to prominence as a fascinating new topic in the realm of network infrastructure. The idea is not new, but advances in the internet of things (IoT) devices and data center technology have made it a realistic option for the first time.
To put it another way, edge computing is the relocation of critical data processing tasks from the network’s core to its edge, closer to where data is acquired and given to end-users. However, although there are several reasons why this architecture is appropriate for specific sectors, the most evident benefit of edge computing is its potential to reduce latency. It is frequently the difference between losing clients and offering high-speed, responsive services that satisfy their expectations that may be made by effectively addressing excessive latency.
Latency in the context of networking
An explanation of network latency would be incomplete if it did not include a quick examination of the distinction between network latency and bandwidth. However, even though the two names are often used interchangeably, they relate to very distinct phenomena.
What is Bandwidth?
The quantity of data that may be sent through a network connection at one time is measured as bandwidth. The larger the bandwidth available, the bigger the amount of data sent. In general, increasing bandwidth adds to faster network speeds since more data can be sent across connections. However, network performance is still bound by throughput, which quantifies the amount of data that can be processed simultaneously by various places in a network. Increasing bandwidth for a server with a poor throughput, on the other hand, will not affect performance since the data will just choke when the server attempts to process it. On the other hand, adding additional servers will enable a network to accept more bandwidth by reducing network congestion.
What is Latency?
When a data packet travels from its starting point to its destination, latency is measured as the time it takes to complete the journey. While the connection is important (see below for more information), distance continues to be one of the most important elements in determining delay. This is because data is still bound by the rules of physics and cannot travel faster than the speed of light (although some connections have approached it). No matter how fast a connection is, the data still has to physically transit the distance, which takes time and requires more resources. In contrast to bandwidth, increasing the number of servers to relieve congestion will not immediately result in a reduction in latency.
A well-designed network is the most effective method of improving server connectivity across long distances. Because data is transported quicker across fiber optic cables than copper cabling, the connection between these sites is essential; nevertheless, the distance between the points and network complexity is much more relevant. Although data is often routed along the same path in networks, this is not always the case since routers and switches constantly prioritize and analyze where to transmit the data packets they receive. The quickest path between two sites is not always accessible, resulting in data packets traveling a long distance across extra connections, all of which increase latency in a network environment.