Network flux fast distribution method

Abstract

The invention relates to a network flow rapid distributing method, comprising steps of: 1) Defining a plurality of high speed server groups and filling each high speed server group in hash table according to ordering or appointed sequence; 2) Defining one or more backup server groups; 3) extracting URL when receiving client requests; 4) calculating a key value according to URL by using hash algorithm; 5) molding the key by number of effective items of the hash table, then finding corresponding server groups from the hash table according to obtained modulus; 6) Distributing the client requests to found server groups. Health check is applied on the high speed server groups regularly when processing above steps, if the server groups are valid, the server groups are used; if the server groups are invalid, backup server groups are used. The invention distributes the network flow evenly to a plurality of servers, and solving the problem that data storage redundancy and non-recoverable loss data of the server in former load equalizing strategy.

Description

technical field [0001] The invention relates to a network flow distribution method, in particular to a URL (network universal resource address)-based fast network flow distribution method. Background technique [0002] The network traffic distribution method, also known as the load balancing strategy, is a technical method for evenly distributing the customer's data traffic to multiple back-end servers in traffic management. This method helps to make full use of the functions of all back-end servers. There are three common load balancing methods: 1. Round robin balancing, that is, each request from a client is assigned to a specific server in the cluster server in a sequentially cyclic method. 2. Balance the minimum number of connections, that is, transfer new client requests to those servers that handle the least connections. In the SLB (Service Load Balancing) software system, each server in the cluster server has a recorder to record the current The number of processes b...

AI Technical Summary

Problems solved by technology

[0004] Common load balancing methods have the following shortcomings when solving the above Web data traffic distribution: 1. The above three load balancing strategies may distribute the access of the same content to different high-speed servers, resulting in all high-speed servers Store a large amount of duplicate data on the server, which greatly reduces the total storage capacity of the high-speed server, resulting in a decline in service performance

However, because the difference in the time each visit stays on the Web may be very large, as the working hours increase, the processes on each server may vary greatly, and simple round robin cannot guarantee real balance

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