Computing task and virtual machine deploying method within a virtual data center

A technology for computing tasks and data centers, which is applied in the field of cloud computing and can solve problems such as low efficiency, affecting resource utilization, and increasing energy consumption.

Inactive Publication Date: 2013-03-20
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although the peak period of computing tasks is inevitable, it is not frequent. When the peak period passes, resource utilization will be seriously affected.
The problem associated with poor resource uti

Method used

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  • Computing task and virtual machine deploying method within a virtual data center
  • Computing task and virtual machine deploying method within a virtual data center
  • Computing task and virtual machine deploying method within a virtual data center

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Experimental program
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Embodiment

[0031] Such as figure 1 As shown, a computing task and virtual machine deployment method in a virtualized data center includes the following steps:

[0032] S1 assigns a virtual machine to a computing task: the computing task with a QoS request to be executed (the QoS request in this embodiment has a soft deadline is significant, that is, the computing task can be executed within the range of acceptable deadline violation rate) Tasks are divided into homogeneous computing tasks according to their scale, and homogeneous computing tasks have the feature of being able to share the same virtual machine.

[0033] S2 models the virtual resource request of the isomorphic computing task, then allocates the virtual machine and sets the performance parameters of the virtual machine;

[0034] When assigning a virtual machine to a computing task, the setting of the virtual machine performance parameter value is mainly determined by the resource request of the computing task. A controller...

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Abstract

The invention discloses a computing task and virtual machine deploying method within a virtual data center, which aims to optimize the QoS (Quality of Service) demand of a computing task and to improve the resource utilization rate of the data center on the basis that the service capabilities provided by a physical resource and a virtual resource appropriately surpass the actually provided service capabilities at certain proportion. The computing task and virtual machine deploying method comprises three stages: dividing the computing task into isomorphic computing tasks; modeling a virtual resource request of the isomorphic computing tasks, and deploying virtual machines based on needs; and modeling according to the physical resource requests of the virtual machines required to be deployed in the above step, and turning on a physical host according to needs. The computing task and virtual machine deploying method is applicable for computing tasks with different features and is suitable for different types of data center scenarios, and a reasonable critical value of resource service capability deflection proportion exists between the satisfaction of the QoS demand and the improvement of the resource utilization ratio.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a strategy-based computing task and a virtual machine deployment method in a virtualized data center. Background technique [0002] The data center is composed of a complete set of complex facilities, including computer systems and other supporting equipment (such as communication and storage systems), as well as data communication connections, environmental control equipment, monitoring equipment and various safety devices. Heterogeneity is a major feature of the internal resources of the data center, which has a certain impact on resource utilization, specifically in terms of resource service capabilities, performance, and even operating system platforms. In addition, the constantly changing request of computing tasks to resource service capabilities is also an important factor affecting resource utilization. Usually, during the peak period of computing tasks, heavy load pressur...

Claims

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Application Information

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IPC IPC(8): G06F9/455G06F9/50H04L29/08
Inventor 董守斌陶铭张凌董守玲
Owner SOUTH CHINA UNIV OF TECH
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