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Hotspot migration method for cloud resource scheduling

A technology of cloud resources and hotspots, applied in the direction of resource allocation, multi-programming devices, electrical components, etc., can solve problems such as resource consumption and removal cost

Active Publication Date: 2013-12-11
重庆誉存科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the disadvantages of the existing hotspot removal methods that consume resources and cause high removal costs, the present invention provides a method for removing hotspots oriented to cloud resource scheduling

Method used

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  • Hotspot migration method for cloud resource scheduling
  • Hotspot migration method for cloud resource scheduling
  • Hotspot migration method for cloud resource scheduling

Examples

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Embodiment Construction

[0062] refer to figure 1 . The specific steps of the hotspot removal method oriented to cloud resource scheduling in the present invention are as follows:

[0063] Step 1. Virtual machine definition.

[0064] For a group of servers with a specified configuration, there are several virtual machines called tenants on each server, several tenants form a group, and an administrator is assigned.

[0065] Step 2, system setting.

[0066] 5) The system contains N physical servers, SV 1 ,...SV N ;

[0067] 6) per tenant Both have memory usage and CPU usage The CPU usage and memory usage of each server is the sum of the CPU and memory usage of all tenants. which is: SV i . mem = Σ k = 1 Ki t i k . mem , SV ...

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Abstract

The invention discloses a hotspot migration method for cloud resource scheduling and is used for solving the technical problem that the existing hotspot migration method wastes resources and requires a large migration cost. The invention adopts the technical scheme that virtual machines on physical machines are divided into Master virtual machines and Slave virtual machines, the virtual machines on each physical machine consist of one Master virtual machine and a plurality of Slave virtual machines, and each business runs on the Master virtual machine; in order to ensure that the business normally runs when the Master virtual machine suddenly breaks down due to overload, a plurality of Slave virtual machines are distributed on other physical machines for each Master virtual machine and carry out data synchronization with the Master virtual machine at regular time. A node controller is arranged on each physical machine for collecting resource information on each virtual machine. When the node controller finds that hotspots exist on a certain physical machine, the node controller notifies a cluster manager, the cluster manager makes judgment according to hotspot conditions on each physical machine and selects a proper physical machine to migrate the hotspots, thereby eliminating the hotspots, and migration cost is lowered.

Description

technical field [0001] The present invention relates to a method for removing hotspots, in particular to a method for removing hotspots oriented to cloud resource scheduling. Background technique [0002] Virtualization technology is one of the technical cornerstones of building a cloud computing environment, and it provides a powerful implementation method for cloud computing technology at the infrastructure layer. In large-scale data centers, the number of virtual machines and the load of virtual machines will often change with the needs of users and applications. Virtual machines need to be dynamically adjusted for resources, that is, hot resources in the system must be removed in a timely manner, so as to achieve the overall system load balancing. Virtual machine live migration technology is currently mainly used to solve the load balancing problem of cloud computing systems. [0003] The document [WOOD T.A.Black-Box and gray-box strategies for virtual machine migratio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455G06F9/50H04L29/08
Inventor 刘文洁李战怀潘巍张晓
Owner 重庆誉存科技有限公司
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