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

Energy-saving method of cloud data center based on virtual machine migration and load perception integration

A virtual machine migration, cloud data center technology, applied in the field of computer system structure, can solve the problem of high energy consumption in the data center, and achieve the effect of avoiding unsuccessful migration

Active Publication Date: 2013-06-19
ZHEJIANG UNIV
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the shortcomings of excessive energy consumption in the data center in the prior art, the present invention proposes a virtual machine-based migration and virtual machine technology that reduces the number of physical servers actually required by the cloud data center by making full use of the resources of each dimension of the system and realizes green energy saving. Energy-saving method for cloud data center based on load-aware integration

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
  • Energy-saving method of cloud data center based on virtual machine migration and load perception integration
  • Energy-saving method of cloud data center based on virtual machine migration and load perception integration
  • Energy-saving method of cloud data center based on virtual machine migration and load perception integration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Energy-saving methods for cloud data centers based on virtual machine migration and load-aware integration, such as Figure 1 to Figure 2 shown, including the following steps:

[0033] Step a: Monitoring of server and virtual machine load resource utilization rate: Real-time monitoring of the running status and resource utilization rate of the physical server and the virtual machine load on the cloud data center through the monitoring module, and record the current The resource utilization status of , the monitoring module records the information of these physical servers, and generates a list of servers to be migrated S={S i , S 2 ,...,S n}; At the same time, calculate the idle resources of each physical server, PM idle i ={CPU i , Memory i , Network i}, receive the migration of other virtual machines, and determine the type of load by analyzing the resource utilization of the virtual machine. After all the information is recorded, it is sent to the energy manag...

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 system level virtualization technology and an energy-saving technology in the field of the structure of a computer system, and discloses an energy-saving method of a cloud data center based on virtual machine migration and load perception integration. The method comprises the steps: dynamically completing the migration and the reintegration of the load of a virtual machine in the cloud data center by monitoring the resource utilization rate of a physical machine and the virtual machine and the resource use condition of current each physical server under the uniform coordination and control of an optimized integration strategy management module of the load perception and an on-line migration control module of the virtual machine, and tuning off the physical servers which run without the load, so that the total use ratio of the server resource is improved, and the aim of energy saving is achieved. The energy-saving method of the cloud data center based on the virtual machine on-line migration and the load perception integration technology is effectively realized, the amount of the physical servers which are actually demanded by the cloud data center is reduced, and the green energy saving is realized.

Description

technical field [0001] The invention relates to system-level virtualization technology and energy-saving technology in the field of computer system structure, and in particular to a cloud data center energy-saving method based on virtual machine migration and load perception integration. Background technique [0002] As a traditional concept, the data center has existed for a long time. Its establishment provides huge computing and storage capabilities for specific key areas of scientific research, such as earth observation, high-energy physics, scientific computing and simulation, oil exploration and other fields. In recent years, with the development of computer technology, especially the improvement of computer hardware design capabilities and processes, the capabilities of servers have become stronger and stronger, and the scale of data centers has also become larger and larger, but at the same time energy consumption has also become a prominent problem. According to st...

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 Patents(China)
IPC IPC(8): G06F1/32G06F9/46
CPCY02B60/162Y02D10/00
Inventor 吴朝晖叶可江姜晓红何钦铭
Owner ZHEJIANG 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