Web server cluster routing method

Abstract

The invention discloses a Web server cluster routing method. A cache server is arranged to generate and maintain a hot spot request record, and an analyzing server is utilized for generating and maintaining an ordinary request record and updating the hot spot request record according to the ordinary request record. When the request reaches, the cache server is used for carrying out matching in the hot spot request record, if a matching item is found out, the web request is forwarded to a recorded target response server, and if the matching item is not found out, the request is forwarded to the analyzing server to be analyzed and routed to the target response server. According to the Web server cluster routing method, the hot spot request and the ordinary request are processed in a distinguished mode, the requests are reasonably allocated, and the processing capacity and the responding speed for the hot spot request can be greatly improved. Meanwhile, the hot spot request record is updated, the validity is kept, and the method can adapt to the accessing environment with the variable load and the low determinacy. The method is suitable for routing management of the Web server cluster.

Description

technical field [0001] The invention relates to the technical field of network transmission, in particular to a routing strategy for a Web server cluster. Background technique [0002] Cloud computing refers to the migration of computing loads and applications to the cloud through expansion and virtualization technology to form a large number of distributed computer public resource pools based on the Web Internet. Users access the computer public resource pools through ordinary terminals, such as computers, notebooks, and mobile phones. Perform data calculation, data storage and data acquisition services as needed. The cloud computing model provides available, convenient, and on-demand network access and access to a configurable shared pool of computing resources. Its resources can include networks, servers, storage, application software, and services. These resources can be provided quickly and only need to invest in Little administrative effort, or interaction with servic...

AI Technical Summary

Problems solved by technology

These allocation strategies themselves have very little overhead, and do not need to maintain the state information of the client or server, and the execution efficiency is very high. However, these allocation strategies have weak load balancing capabilities and can only achieve relatively rudimentary system load distribution.

[0007] However, with the emergence of dynamic content on Web sites, the load difference generated by requests is getting larger and larger, and traditional algorithms such as round robin are becoming more and more limited.

And in the cloud computing environment, the Web server cluster adopts virtual technology, and pays more attention to the scalability, flexibility, and distributed efficient computing structure and mode, which contains massive-level dynamic content data, and Web requests are massive-level and have various Due to locality and locality, the load of the Web server cluster is variable and the certainty is low. Therefore, the traditional routing strategy of the Web server cluster system can no longer adapt to the current application requirements, and it is very easy to appear due to the local activity of user access. Local load is too large

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