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Application System Resource Requirement Calculation System

A technology for resource requirements and application systems, applied in resource allocation, data processing applications, forecasting, etc., can solve problems such as the inability to meet the requirements of enterprise software and hardware self-control management, lack of overall consideration, etc., to achieve efficient capacity planning, and is conducive to flexibility. Management, the effect of high measurement accuracy

Active Publication Date: 2017-03-15
GUANGDONG POWER GRID CO LTD INFORMATION CENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing capacity planning technology is usually carried out for a specific device or software in a specific scenario, and lacks an overall understanding of all software and hardware of the enterprise information system, as well as the resource requirements of the application system of the device throughout its life cycle. Moreover, the performance of hardware resources in the prior art is usually a theoretical value under ideal conditions, and is fixed in software or products, which cannot meet the diversified self-control management requirements of enterprise software and hardware.

Method used

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  • Application System Resource Requirement Calculation System
  • Application System Resource Requirement Calculation System
  • Application System Resource Requirement Calculation System

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] The embodiment of the present invention proposes an application system resource requirement calculation system, see figure 1 , the system consists of:

[0046] The model building module 101 is used to construct a theoretical response time based on the theory of the equipment parameters of the equipment group used, and the functional model of the number of concurrent system tasks or the arrival rate of tasks;

[0047] A model correction module 102, configured to correct the device parameters corresponding to the device group in the functional model according to the actual test results of the device group;

[0048] The resource measurement module 103 is used to use the model correction module to measure and calculate the theoretical response time of each equipment group when processing the concurrent number of system tasks or the task arrival rate given by the user according to the function model;

[0049] The device parameters include performance depreciation rates.

...

Embodiment 2

[0055] On the basis of Embodiment 1, the embodiment of the present invention provides a preferred model building block, including:

[0056] A single device construction unit is used to theoretically construct the functional relationship of the average response time of a single device in multiple device groups with respect to the device parameters of the device group used, and the number of concurrent system tasks or the arrival rate of tasks;

[0057] The device group construction unit is used to theoretically construct the functional relationship of the overall response time of each device group with respect to the average response time of a single device in the device group;

[0058] The application system construction unit is used to construct the functional relationship of the theoretical response time of the entire application system with respect to the overall response time of each equipment group according to the theory.

[0059] Preferably, in the single device constru...

Embodiment 3

[0094] The embodiment of the present invention proposes an application system resource demand calculation system with a demand forecast function. On the basis of Embodiment 1, the system further includes a demand forecast module for predicting future resource demand based on a self-learning optimization method based on historical data.

[0095] The demand forecasting module includes:

[0096] The prediction model selection unit is used to select the one with the smallest variance from the common fitting functions as the resource demand forecasting model by using the historical data of resource demand by time period;

[0097] A forecasting model self-learning unit, configured to learn parameters of the resource demand forecasting model by using historical data of resource demand divided into periods as training data;

[0098] The demand forecasting unit is configured to use the resource demand forecast model after parameter learning to predict future resource demand according to ...

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Abstract

The invention relates to computer networks, in particular to a resource demand measuring and calculating system for an application system. The resource demand measuring and calculating system for the application system aims to overcome the defect that due to the fact that the integrality consideration of all software and hardware of enterprise information systems and resource demands of an application system in the whole life cylinder of a device are lacked and the performance of hardware resources is generally embodied through theoretical values under the ideal condition and is solidified in software or products, various requirements for self-control management of software and hardware of enterprises can not be met. According to the resource demand measuring and calculating system for the application system, the particularities and the variable parameter characteristics of different devices are fully considered, measurement and calculation of the resource demands of all the software and hardware of the application system at all stages in the whole life cycle are achieved, and meanwhile, flexible management of a performance criterion library of the hardware resources is facilitated.

Description

technical field [0001] The invention relates to an application system resource machine network, in particular to an application system resource demand measurement system. Background technique [0002] With the development of information technology, information systems have higher and higher requirements for the performance and reliability of software and hardware platforms. In the enterprise environment, traditional application systems mostly adopt the "silo-type" construction method. The resources of software and hardware platforms cannot be shared. Maintenance is very difficult. With the development and application of virtualization and cloud application system resource technology, resource sharing and dynamic allocation become possible, more and more application systems are deployed in the cloud environment, they share the computing resources in the infrastructure, and according to The respective needs further request and compete for computing resources. On the one han...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50G06Q10/04
Inventor 林强黄剑文姜唯周开东彭泽武王甜曾初阳罗欢李娜蔡利勉
Owner GUANGDONG POWER GRID CO LTD INFORMATION CENT
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