Multi-core framework Internet information processing and optimizing method

Abstract

The invention provides a multi-core framework Internet information processing and optimizing method. A main part relating to the multi-core framework Internet information processing and optimizing method comprises a multi-core framework information processing and optimizing model oriented towards Internet server clusters. A two -stage parallel processing mechanism is adopted for the multi-core framework information processing and optimizing model and includes server node parallel processing and inner-server-node parallel information processing. The information processing and optimizing model is mainly composed of the WEB server cluster, a load balancer, the information processing server cluster and the like. According to the multi-core framework Internet information processing and optimizing method, a traditional server load balancing algorithm is improved, the concurrence accessing performance of Internet-information-oriented processing servers is improved, the concurrence information processing capacity of multi-core-framework servers is improved, and the average responding time and the average waiting time of user information processing requests are shortened, power dissipation and cost of a server system are reduced, and the wide development prospects and the high technological value are achieved.

Description

technical field [0001] The invention designs a server technology, specifically a multi-core architecture Internet information processing optimization method. Background technique [0002] With the explosive growth of Internet information processing, the number of concurrent network users has increased sharply, and the performance improvement of Internet information processing servers has been severely restricted. System response time is an important factor affecting Internet processing performance, mainly including the following aspects: instruction transmission time, task waiting time, information loading time, and information query time. To improve the performance of the Internet-oriented information processing system, it must be able to support a large number of concurrent accesses of users, and at the same time shorten the average response time of user requests. [0003] Existing systems mainly solve the problem of performance improvement from the aspects of hardware an...

AI Technical Summary

Problems solved by technology

The basic idea of ​​these load balancing algorithms is to distribute the concurrent access requests of a large number of users to each server in the cluster for execution separately using a certain strategy, but these load balancing methods only consider how to distribute the load to each server in a balanced manner. Did not consider how to improve the concurrent processing capability of a single server

In addition, in the traditional multi-task thread scheduling method, the tasks are uniformly distributed sequentially by the load balancer. The load balancer has a request forwarding bottleneck, and the sequential distribution of requests will prevent the server from parallel processing the requests immediately.

In addition, there is a problem of delay in judging the load status of server nodes. If the time for monitoring the status of service nodes is too short, it will occupy service node resources, resulting in a waste of limited resources. If the interval is too long, it will cause delays in judging server status. lead to unfair assignment of tasks

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