Dynamic adjustment method and system for virtual machine

A dynamic adjustment, virtual machine technology, applied in the field of cloud computing, can solve problems such as low solution efficiency

Active Publication Date: 2016-02-03
SHENZHEN UNIV
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  • Abstract
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Problems solved by technology

[0021] In view of the deficiencies in the prior art above, the purpose of the present invention is to provide a dynamic adjustment method and system for a virtual machine, aiming at solving the problem of low solution efficiency in the optimization process of the virtual machine in the prior art, which cannot be implemented on a large number of servers. The problem of realizing fast and efficient dynamic allocation of virtual machines on the host

Method used

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  • Dynamic adjustment method and system for virtual machine
  • Dynamic adjustment method and system for virtual machine
  • Dynamic adjustment method and system for virtual machine

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Embodiment 1

[0133] Simulation:

[0134] The cloud computing simulation platform CloudSimtoolkit (from the literature HPCS2009, ISBN: 978-1-4244-49071) is used for simulation.

[0135] CloudSim is a cloud computing simulation platform launched in 2009 by the Grid Lab and Gridbus project of the University of Melbourne, Australia. It inherits the programming model of GridSim, supports the research and development of cloud computing, provides features of cloud computing, and supports cloud computing. Resource management and scheduling simulation. CloudSim's CIS (CloudInformationService) and DataCenterBroker realize resource discovery and information exchange, which are the core of simulation scheduling. The scheduling algorithm developed by the user can be implemented in the method of DataCenterBroker, so as to realize the simulation of the scheduling algorithm. At present, the latest version supports the simulation experiment of server host energy perception. This solution has adopted the ...

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Abstract

The invention provides a dynamic adjustment method and system for a virtual machine. The method comprises: obtaining a server host in first and second running states, wherein in the first running state, an overload server host cannot meet an SLA default rate, and in the second running state, the load utilization rate of a no-load server host is lower than a preset threshold; and solving a global optimal solution of the virtual machine required to be migrated by using an extremal optimization based particle swarm algorithm. The virtual machine is adjusted according to an optimal solution result; and the steps are repeatedly performed every a predetermined cycle in a predetermined time window so as to finish dynamic adjustment of the virtual machine. The VMDA problem is efficiently solved by using the improved algorithm fusing extremal optimization with particle swarm.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to a dynamic adjustment method of a virtual machine and a system thereof. Background technique [0002] Cloud data centers are usually composed of many high-configuration hardware facilities. The computing power of the data center has become the main indicator that cloud service providers care about. With the emergence of larger and larger data centers, the energy consumption of data centers is increasing. A large number of high-performance hardware facilities consume a lot of energy, and the carbon dioxide emissions they produce cause a greenhouse effect, which has a significant impact on the climate and environment, and greatly affects the operational benefits of cloud service providers. Low energy utilization in data centers is mainly due to the fact that servers are still consuming a lot of energy when they are under low utilization or idle. For example, some scholars ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455G06F9/48G06F9/50
Inventor 骆剑平刘奇奇
Owner SHENZHEN UNIV
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