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Service-oriented distributed request processing system

A service-oriented, request processing technology, applied in electrical digital data processing, special data processing applications, resource allocation, etc., can solve the problems of waste of I/O and computing resources, expensive mainframes and server clusters, and lack of transaction protection. , to achieve the effect of low architecture cost, avoid waste, and improve overall performance

Inactive Publication Date: 2017-03-08
CHINA PETROLEUM & CHEM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, in the above-mentioned methods, the price of the mainframe and server clusters is often very expensive. Although they have stronger I / O capabilities and computing capabilities, if there is no effective optimal scheduling, it will also cause I / O and computing resources. Waste, so a middleware system must be used to buffer and optimize massive requests to maximize the performance of mainframes and server clusters
Hadoop-based distributed systems are very suitable for offline big data analysis applications, but for online applications, especially transaction-based database access, Hadoop lacks transaction protection

Method used

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Embodiment Construction

[0025] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and examples, so as to fully understand and implement the implementation process of how to apply technical means to solve technical problems and achieve corresponding technical effects in the present invention. The embodiments of the present application and the various features in the embodiments can be combined with each other under the premise of no conflict, and the formed technical solutions are all within the protection scope of the present invention.

[0026] Additionally, the steps shown in the flowcharts of the figures may be performed in a computer system, such as a set of computer-executable instructions. Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0027] With the explosive growth of business data volume,...

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Abstract

The invention provides a service-oriented distributed request processing system. The system comprises a master server manager, a plurality of master servers belonging to the master server manager and a plurality of slave servers belonging to the master servers, wherein the master server manager queries an idle master server corresponding to the type of a request according to the request of a client and returns information of the master server to the client; the master server receives the request information of the client and sends the request information to a selected slave server for performing processing; and the slave server processes the request information and returns a processing result to the client through the master server. According to the system, low-price PC servers are used in a framework, and distributed computing of massive data is supported according to a master-slave node mode by transversely expanding a server cluster. Compared with use of a large computer server, the framework of the system is low in cost and high in expandability.

Description

technical field [0001] The invention relates to the software development field of computer technology, in particular to a service-oriented distributed request processing system. Background technique [0002] With the explosive growth of business data volume, the traditional client-server model has been unable to adapt to the massive application requests in the big data environment. At present, the methods for processing and analyzing massive data mainly include: [0003] 1. Use mainframe servers or even server clusters. From the perspective of improving hardware processing capabilities, the server's ability to handle massive requests has been improved. Mainframes use specialized processor instruction sets, operating systems, and application software. Compared with cheap servers, mainframes have significant advantages in terms of I / O capabilities, stability, and security. [0004] 2. Use Hadoop-based distributed systems. It is a distributed framework with Distributed Fil...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F9/50
CPCG06F9/5066G06F16/2471
Inventor 盛秀杰张桓彭成曹晋
Owner CHINA PETROLEUM & CHEM CORP
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