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

Desktop cloud-based resource optimization allocation method

A resource optimization and allocation method technology, applied in the direction of electrical components, transmission systems, etc., can solve difficult mathematical problems such as schedule problems, difficulties, etc., and achieve the effects of reducing construction volume, high utilization rate, and high degree of sharing

Active Publication Date: 2018-11-06
FUJIAN JIANGXIA UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The virtual laboratory transforms the physical laboratory into a server resource that can be logically managed centrally, breaks the professional restrictions between various physical laboratories, and provides a better solution for the use of laboratory resources. Integration and overall planning, how to improve laboratory utilization, that is, resource optimization and other issues become very important and difficult
[0006] In the existing laboratory resource optimization model, the course scheduling system in the educational administration system has completely exclusive characteristics: in the same course time, teachers can only teach one course, and classrooms (laboratories) can only provide teaching services once , students can only study one course in a specific teaching place, which is the timetable problem of the more difficult mathematical problem

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
  • Desktop cloud-based resource optimization allocation method
  • Desktop cloud-based resource optimization allocation method
  • Desktop cloud-based resource optimization allocation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] The main direction of laboratory resource optimization is to maximize the use of desktop cloud resources virtualized by servers and minimize the investment in physical laboratories. In the construction of the laboratory resource optimization model, the main influencing factors are: desktop cloud D, teacher T, student S, course C, and physical laboratory L. The relationship model between the professional teaching desktop cloud D based on professional teaching, the teacher T defined by the scope of the teaching course, and the student S who completes the semester course goal is as follows: figure 1 shown. The D parameter of the desktop cloud is jointly affected by teachers, students, and courses, and its resource calculation is relatively complicated. It generally focuses on the optimization method of maximizing the use of desktop cloud resources, and finally considers the minimum investment of the course scheduling system in the physical laboratory.

[0076] The most cr...

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 relates to a desktop cloud-based resource optimization allocation method, belonging to the technical field of resource scheduling. The desktop cloud-based resource optimization allocation method includes the following steps: S1, constructing a laboratory resource optimization model according to a professional teaching desktop cloud D that takes professional teaching as a starting point, a teacher T defined by the scope of teaching courses, and a student S with the goal of completing semester courses; S2, calculating the number of ideal desktop clouds; S3, recalculating the minimum number of desktop clouds based on the limitation of the number of professional teachers; and S4, enabling physics laboratories with experimental teaching to be arranged as full as possible accordingto the determined number of desktop clouds D. According to the scheme of the invention, the utilization of desktop cloud resources can be maximized, the physics laboratories can fully meet the utilization of the desktop cloud, and the utilization rate of the desktop cloud can be maximized under limited teacher resources.

Description

technical field [0001] The invention relates to a resource optimization allocation method, in particular to a desktop cloud-based resource optimization allocation method, and belongs to the technical field of resource scheduling. Background technique [0002] In computers, virtualization (English: Virtualization) is a resource management technology that abstracts and converts various physical resources of the computer, such as servers, networks, memory, and storage, and presents them after transformation, breaking the gap between physical structures. Indivisible barriers allow users to apply these resources in a better way than the original configuration. Virtual machine migration technology provides a convenient method for server virtualization. Currently popular virtualization tools such as VMware, Xen, HyperV, and KVM all provide their own migration components. Divided by application field, desktop virtualization is only an application of virtualization technology. Deskt...

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
IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/12H04L67/60
Inventor 卢民荣许邓艳
Owner FUJIAN JIANGXIA UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com