Migration virtual machine destination host multi-target optimization selection method
A multi-objective optimization, virtual machine technology, applied in the direction of multi-programming device, software simulation/interpretation/simulation, program startup/switching, etc., can solve the problem of simultaneous optimization, low temperature resource utilization rate of data center, conflicts and constraints and other issues to achieve the best effect of operating efficiency
Inactive Publication Date: 2016-12-07
郭笃刚
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Problems solved by technology
The above research work on the selection of the destination host can only enable the data center to achieve one or two optimization goals of lower temperature, higher resource utilization, better application performance, and less power consumption, but cannot optimize at the same time. they
However, it is very difficult to achieve the optimum of the above optimization indicators at the same time, because there are conflicts and constraints among these indicators.
For example, migrating a large number of virtual machines to a small number of servers can improve resource utilization and reduce energy consumption, but at the same time it will cause resource competition
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[0027] This specific embodiment adopts following technical scheme: it comprises the following steps:
[0028] 1. Real-time acquisition of status data: real-time acquisition of the temperature of each server, the utilization rate of each resource (CPU, memory, network IO and disk IO) and the status data of power consumption to effectively calculate the operating cost of the virtual machine in each server;
[0029] 2. Selection of the destination host: Based on the above state factors, a destination host selection algorithm based on multi-objective optimization is designed to select the best destination host for each migrated virtual machine in the data center.
[0030] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art ...
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The invention discloses a migration virtual machine destination host multi-target optimization selection method and belongs to the technical field of data centers of virtual machines. The method includes the following steps that firstly, state data is obtained in real time, wherein state data including temperature of servers, utilization rates of resources (CPU, memory, network IO, disk IO) and electricity consumption are collected in real time, so that operation cost of virtual machines in the servers is effectively computed; secondly, a destination host is selected, wherein a destination host selection algorithm based on multi-target optimization is designed on the basis of the state factors, so that the optimal destination host of the migration virtual machines in a data center is selected. The method comprehensively takes consideration of temperature, resource utilization, application performance, electricity consumption and other state factors of the data center, and the best compromise among the state factors can be found, so that overall operation benefits of the data center are optimal.
Description
technical field [0001] The invention relates to the technical field of virtual machine data centers, in particular to a method for multi-objective optimization selection of a destination host for migrating a virtual machine. Background technique: [0002] In recent years, virtual machine migration has become a hot topic in the field of data center management research. [1,2,3] . Virtual machine migration mainly includes three key issues: (1) decision-making of virtual machine migration timing; (2) selection of migrating virtual machine; (3) selection of destination host. Among them, the selection of the destination host is the most important issue in virtual machine migration. It directly determines the running location of each virtual machine, thereby affecting the operational efficiency of the entire data center. For example, although migrating the virtual machine to an idle server can ensure the performance of the virtual machine to the greatest extent, it will cause res...
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IPC IPC(8): G06F9/455G06F9/48G06F9/50
CPCG06F9/45558G06F9/4856G06F9/5016G06F9/5027G06F9/5077G06F9/5088G06F9/5094G06F2009/4557Y02D10/00
Inventor 郭笃刚
Owner 郭笃刚