Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Cloud-computing-system-oriented multi-scale task quantity predicted value determining method

A technology for determining methods and task volumes, applied in forecasting, computing, and transmission systems, etc., which can solve problems such as difficulty in controlling task volume prediction accuracy

Inactive Publication Date: 2014-04-09
NANJING UNIV OF POSTS & TELECOMM
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Technical problem: The purpose of this invention is to propose a method for determining the multi-scale task volume prediction value for cloud computing systems, aiming at the problem that the task volume prediction accuracy is difficult to control caused by the current single-scale task volume prediction method, from the macro and micro perspectives Multidimensional factors to make more scientific and reasonable predictions on the amount of tasks submitted by users in the future, so as to effectively support the resource allocation decisions of cloud service providers and ensure the normal operation of cloud computing systems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cloud-computing-system-oriented multi-scale task quantity predicted value determining method
  • Cloud-computing-system-oriented multi-scale task quantity predicted value determining method
  • Cloud-computing-system-oriented multi-scale task quantity predicted value determining method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention can be specifically implemented in a cloud computing system. The method of the present invention comprehensively considers the long-term trend, periodic fluctuation and recent situation of the task amount, as well as the current sudden random disturbance event, scientifically and rationally calculates the predicted value of the user task amount in a certain period of time in the future, and gives a period in the future The expected level of tasks in time provides an important basis for planning and decision support for cloud service providers to adjust resource allocation and adjust the scale of cloud computing systems.

[0038] This method is mainly based on the long-term trend, periodic fluctuations, recent task volume and random disturbance factors to calculate the task volume prediction value of the next period is F t1,t2,t3 ,but:

[0039] F t 1 , t ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a cloud-computing-system-oriented multi-scale task quantity predicted value determining method which aims to solve the problem that task quantity prediction precision is difficult to control in a single-scale task quantity prediction method. Long-time tendency, periodic fluctuation and recent situations of the task quantity in a cloud computing system and random perturbation events bursting currently are taken into consideration comprehensively, scientific and reasonable prediction of the user task quantity at a certain moment in the future is carried out, a task quantity prediction level within a period of time in the future is given, and important supporting bases are provided for plans and strategies of cloud service providers in adjustment of resource allocation and the scale of the cloud computing system.

Description

technical field [0001] The present invention relates to a cloud computing system, in order to improve the cloud computing system's ability to respond to future tasks, and can adopt a multi-scale task amount prediction value determination method. The technology belongs to the cross-technical application field of computer network, computer software and distributed computing. Background technique [0002] With the current increasingly fierce market competition and globalization, cloud computing service providers need to adopt more advanced and efficient management and operation methods for the management and use of computing, storage and information resources in its cloud computing platform. [0003] The important indicators of the responsiveness of cloud computing refer to the response speed and prediction accuracy of cloud computing to future tasks. Prediction is to predict and infer unknown events based on the regularity of known events, including speculation on events that...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04H04L29/08
Inventor 徐小龙章韵徐佳李千目李永萍马悦尹尚祁凯平
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products