What does load balancing mean?

Load balancing. load balance) means that it is distributed to multiple operating units, such as web servers and FTP servers.

Enterprise critical application servers and other mission-critical servers, etc., to work together to complete work tasks.

Load balancing builds on existing network structures, and it provides a cheap, efficient, and transparent way to scale network devices.

and server bandwidth, increasing throughput.

Strengthen network data processing capabilities, improve network flexibility and availability.

There are three deployment modes for load balancing: route mode, bridging mode, and direct service return mode. The route mode is flexibly deployed, and about 60% of users are deployed in this way. The bridging mode does not change the existing network architecture; Direct Service Return (DSR) is more suitable for web applications with high throughput, especially for content delivery.

About 30% of users adopt this model.

Load balancing is the same thing, regardless of Linux or other operating systems.

Load balancing is to distribute the requests (work or load) that should be processed by this machine (or cluster) to other machines (or clusters) evenly according to a certain algorithm, which can greatly reduce the workload of this machine (or cluster) and prevent unexpected situations such as response timeout or machine shutdown caused by excessive load. Generally, large ** and systems use load balancing!

Load balancing: Load balancing and distribution across multiple operating units for operation.

Load balancing provides a way to expand network bandwidth, increase throughput, enhance network data processing capabilities, and improve network flexibility and availability. In network applications, load balancing is not required at the beginning, and it will only work when the number of network visits continues to grow and cannot meet the load demand, that is, when the network traffic is bottlenecked. For example, if three routers are connected end-to-end and are configured with dynamic RIP to generate a loop, load balancing will be used because there are two RIP routes with only one route to the same network segment.

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Load balancing builds on the existing network structure, which provides a cheap, efficient, and transparent way to expand the bandwidth of network devices and servers, increase throughput, enhance network data processing capabilities, and improve network flexibility and availability.

Load Balance, which means that it is distributed to multiple operating units, such as web servers, FTP servers, enterprise critical application servers, and other mission-critical servers, so as to jointly complete work tasks.

Load balancing, also known as load sharing, refers to the dynamic adjustment of the load in the system to eliminate or reduce the load imbalance of nodes in the system as much as possible. The specific implementation method is to transfer the tasks on the overloaded node to other light-load nodes to achieve load balancing of each node of the system as much as possible, so as to improve the throughput of the system. Load sharing is conducive to the overall management of various resources in the distributed system, and is convenient for the use of shared information and its service mechanism to expand the processing capacity of the system.

The dynamic load sharing strategy refers to taking the existing load on each node in the system as reference information, and adjusting the load distribution at any time according to the load status of each node in the system during operation, so that each node can maintain a load balance as much as possible.

Load: The key issue in the load sharing algorithm is how to determine the load. You can determine the response time of a task on a specific node and determine the execution performance on a node based on the task load.

Loads that have been studied and used include CPU queue length, average CPU queue length over time, CPU utilization, etc. Kunz found that the choice of load has a significant impact on system performance, and the most efficient way to calculate the load is the CPU queue length.

Motivation: The user submits the task to the system for processing, and due to the random nature of the task arrival, some processors are overloaded and some processes are idle or lightly loaded. Load sharing improves performance by migrating tasks on overload processors to be executed on light processors.

Performance: From a static point of view, high performance refers to the basic load balancing across processors. From a dynamic perspective, the scale of performance is the average response time of the task, which refers to the duration of the task from submission to the start of execution.

Load Balancing Policies:

A dynamic load balancing strategy consists of four parts: a transfer strategy, a selection strategy, a positioning strategy, and an information strategy.