Method and system for estimating capacity of server

Abstract

The invention discloses a method and a system for estimating the capacity of a server. The method disclosed by the invention comprises the following steps of: counting the business-processing capacity finished by the server within unit time and the time length at the peak period each day; calculating the percent of the processing capacity of the server at the peak period accounting for the all-day processing capacity and the complexity parameter; adjusting the redundancy factor of the server and the utilization ratio of a central processor; and estimating the capacity of the server according to the business-processing capacity finished by the server within the unit time, the time length at the peak period each day, the percent of the processing capacity at the peak period accounting for the all-day processing capacity, the complexity parameter, the redundancy factor and the utilization ratio of the central processor. The invention also discloses the system for estimating the capacity of the server. Through the introduction of the complexity parameter in the invention, the differences of different application systems are eliminated, and a universal estimating method for the capacity of the server of each application system is realized, so that the estimating efficiency is improved; and estimation is carried out by utilizing the actual data provided by the current online application system, so that errors between the estimated capacity and the actual capacity are reduced.

Description

technical field [0001] The invention relates to the field of capacity estimation, in particular to a method and system for server capacity estimation. Background technique [0002] With the expansion of information system business applications, various application systems have put forward higher requirements for digital centers that manage and store data. However, with the continuous development of the application system, the performance of some existing equipment in the data center that has been built may not meet the requirements of the application. On the one hand, the asset life cycle is not over and cannot be eliminated. If the equipment is completely transformed, the investment cost of the transformation will be too high. In this case, if you consider investing in new equipment, on the one hand, the performance configuration of the newly put into operation may be high, and the application system server has not fully utilized resources, resulting in waste of resources;...

AI Technical Summary

Problems solved by technology

However, before the new application system server is put into operation, in the process of capacity estimation using various standards, the standards stipulate fixed user demand values, so that there may be a large deviation between the estimated capacity and the actual capacity in the future

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