Design For Configuration And Caculation Model Of The Intelligent Network System

Intelligent network is an additional layer of network structure for theoriginal communication exchange network, which can fast, conveniently,efficiently generate and provide intelligent value-added application in lowcost. Its biggest characteristic is separating the switching function andcontrol function, whitch fully made up service control and applicationability of the core switching system.Intelligent network is a multi node modular, multi task processingsystem. It is a hardware bearing software system, which requires theprocessing power of the server, to realize the multi task concurrency.When we ask technical experts of IBM and Oracle, asking them to giveperformance calculation formula for some machine or a business application,usually their answers are:“does not have the general formula, we can onlyget the performance after testing the application on the spefic machine ".Thus, for an application configuration and calculation, the most importantthing is to get the data from measuring. But we are not possible for testing all the machines and all the service combination. This cost cannot beafforded. Therefore, the research of this article is to derive simple andpractical configuration formula, quickly and easily complete the systemconfiguration and caculation under the premise does not affect the securityof the entire system.This article optimized the configuration of the calculation model, whichmainly completed the following work:1) Analysed the original configuration calculation model, summed upthe weak point of the original configuration calculation model. This worklaid a foundation for the next research.2) Innovatively defined a series of intelligent network service attributeparameters, and turned these parameters into useful symbols and data forconfiguration and calculation.3) Optimized the configuration calculation model, constructed a newconfiguration calculation model, and established capacity evaluation systemwhich can accommodate most models of servers.4) Established a new configuration of computational tools, whichimproved the design efficiency and accuracy in actual project.The result of this study gave great help to improve the design quality,meet customer satisfaction and enhance the company’s competitiveness. At the same time, this model will give enlightenment to the R&D department,how to optimize construction from the origin of our services, to make themmore efficiencent and improve the quality of our products.