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Dynamic load balancing method based on self-adapting prediction of network flow

A technology of self-adaptive prediction and network traffic, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve the problems of lag in response and insignificant adjustment effect, and achieve high accuracy, strong self-learning ability, and accurate traffic. predicted effect

Inactive Publication Date: 2010-04-14
LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the current load balancing application, it is basically a lag adjustment, which is only to adjust the observed value of the current load. When the adjustment is made, the load has actually changed, which is easy to cause a lag in response, and the adjustment effect is not obvious. Sometimes even have the opposite effect

Method used

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  • Dynamic load balancing method based on self-adapting prediction of network flow
  • Dynamic load balancing method based on self-adapting prediction of network flow
  • Dynamic load balancing method based on self-adapting prediction of network flow

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Experimental program
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Embodiment Construction

[0021] Refer to the accompanying drawings for detailed description:

[0022] The traffic prediction module based on the adaptive algorithm is connected in front of the load balancing strategy, and the predicted value of the network load at the next moment is passed to the load balancing strategy instead of the current observed value of the network load.

[0023] for example:

[0024] The network traffic prediction module based on adaptive algorithm (neural network) can be regarded as a black box with input and output. For example, if the load traffic at 18:00 on a certain day is used as output, and the load traffic at 17:30, 17:40, and 17:50 on a certain day is used as input, then a set of neural network outputs calculated by the input can be obtained. parameter. When predicting the load flow at 18:00 today, input the observed load flow at 17:30, 17:40, and 17:50 today into the neural network, and the parameter values ​​obtained earlier can be used for 18:00 load flow forec...

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Abstract

The invention provides a dynamic load balancing method based on self-adapting prediction of network flow. The scheme includes: observing historical data regularity of network load flowing into a load balancing switch or a switching software in a certain time cycle; obtaining a parameter value of self-adapting algorithm in a prediction program to form a computing formula; then substituting load observation value at present moment into the formula to predict load value at the next moment; and distributing flow for a rear-end server at real time according to prediction value, thereby enabling the network load to be regulated in advance, avoiding lag effect, constantly keeping the network load in a comparatively balancing state, greatly strengthening self-adapting self-regulating capability of network to load, and being adaptable to networks with a certain time cycle regularity at occasions such as regular-period network backup and the like.

Description

technical field [0001] The invention relates to a computer application technology, in particular to a network load balancing method of a server cluster. technical background [0002] At present, in the core part of each network, the data traffic and calculation intensity are so large that a single device cannot bear it at all. How to realize a reasonable traffic distribution among multiple network devices that perform the same function, so that it will not appear The situation where one device is too busy and the other devices are not fully utilized becomes a problem, and the load balancing mechanism comes into being. [0003] Load balancing is based on the existing network structure, which provides a cheap and effective method to expand server bandwidth and increase throughput, strengthen network data processing capabilities, and improve network flexibility and availability. It mainly completes the following tasks: solve the problem of network congestion, provide services ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/56H04L12/26H04L29/06H04L12/803
Inventor 王渭巍王守昊
Owner LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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