Method for realizing high-concurrency Web medical image server

Abstract

The invention provides a method for realizing a high-concurrency Web medical image server, which comprises a Web service process, a data exchange area, a task treatment process and a management process, wherein the management process is used for allocating resources; and the task treatment process defines three data structures, respectively records the attribute information of the management process, the process selecting attribute information and the data exchange information of treating subprocesses and defines the states of the processes. The invention ensures that a thread prevents unnecessary blockage and reduces the context switching as much as possible. Meanwhile, the concurrency at maximum is exerted by multithread. When a movable thread on a processor finishes a request, if other requests wait, the thread is not blocked. In order to effectively carry out optimizing treatment, an application program has a feasible method for ensuring that the other waiting thread is activated when one thread treating the client request is blocked on I / O (Input / Output).

Description

technical field [0001] The invention provides a method for realizing a high concurrent web medical image server. Background technique [0002] Web servers are also called WWW (WORLD WIDE WEB) servers, and their main function is to provide online information browsing services. [0003] WWW is a multimedia information query tool of the Internet. It is a service that has only been developed in recent years on the Internet. It is also the fastest growing and most widely used service. It is precisely because of the WWW tool that the Internet has developed rapidly in recent years, and the number of users has increased rapidly. [0004] WWW is the abbreviation of World Wide Web (Global Information Network), and it can also be referred to as Web for short. The Chinese name is "World Wide Web". Through the World Wide Web, people can obtain a wealth of information quickly and conveniently as long as they use simple methods. Because users do not need to care about some technical det...

AI Technical Summary

Problems solved by technology

This situation usually leads to frequent thread switching: a large number of threads are woken up, perform CPU processing, block waiting for I / O, and then block again waiting for new requests after the request is completed

If nothing else, too many threads will cause too many context switches because the scheduler has to split the processor time among multiple active threads

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