A load balancing network distributes traffic across server clusters to improve performance and minimize downtime. It can support enterprise-grade features and dynamically appropriate resources based on demand. The network can interpret incoming data, process discrete requests simultaneously, and compensate for device failures. Managing the network is similar to managing any other server, with granular control over individual servers within a cluster.
Designed as a solution for situations where critical applications, such as databases, web servers, and file sharing platforms, must always be available, a load balancing network has the ability to scale performance based on system usage. It does this by distributing traffic across a number of server clusters that make up the overall system, known as hosts. Typically, enterprise-grade features such as Internet access, proxies, virtual private network, media streaming, and specialized applications are supported by a load balancing network. Users implementing e-commerce applications can find value in a load balancing network given its ability to dynamically appropriate resources in relation to demand.
The theory behind a load balancing network is to improve performance by distributing user requests among a number of servers, reducing the load on each individual server at any given time. Additionally, a load balancing network typically has the ability to monitor and compensate for device failures, minimizing or eliminating potential downtime should one or more servers fail. Load balancing uses multiple copies of the same Transmission Control Protocol/Internet Protocol (TCP/IP) application, such as a web server or e-commerce application, and connects them to a single primary IP using a number of IP addresses virtual. The effect for an end user is seamless integration and the appearance that the application runs on a single server. For all intents and purposes, the application works as if it were on a server as well.
When functioning properly, a load balancing network can interpret incoming data and process discrete requests simultaneously. This means that different elements of the same website can be powered by different clusters, for example. Using pre-set reports or statistical distribution, a load balancing network tracks client usage and responds by dynamically routing requests to various server clusters. Through repetitive pings, the servers in the cluster communicate with each other and are able to compensate for any failure or disconnection of a particular cluster from the whole in a short period of time. Typically in these cases, the client software will automatically retry the connection and the delay is virtually unnoticeable.
Managing a load balancer network is basically similar to managing any other server. An administrator can remotely access various clusters from anywhere within the network. You can exercise granular control over individual servers within a cluster, although the load balancing algorithm can also handle full control. System and even hardware upgrades are usually possible on the fly, which can be beneficial in applications where uptime is mission-critical.
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