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Method and system for optimal configuration of cloud virtual machine based on hybrid expansion mode

A hybrid expansion and virtual machine technology, applied in the field of cloud virtual machine configuration, can solve the problems of long-term optimization of unfavorable user demand judgment costs, increase the time required for switching, etc., and achieve high cost efficiency and optimal cost efficiency

Active Publication Date: 2019-09-24
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this technology needs to be configured according to the priority of each performance index, which often cannot be taken into account; usually, the workload of services or applications changes dynamically, which is difficult to predict accurately. Therefore, switching between different configuration strategies requires overall reconfiguration, which increases the switching requirements. time, which is not conducive to the judgment of user needs and long-term optimization of costs

Method used

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  • Method and system for optimal configuration of cloud virtual machine based on hybrid expansion mode
  • Method and system for optimal configuration of cloud virtual machine based on hybrid expansion mode
  • Method and system for optimal configuration of cloud virtual machine based on hybrid expansion mode

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Experimental program
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Embodiment 1

[0022] Such as figure 1 As shown, this embodiment includes the following steps:

[0023] Step 1. Obtain an optimized virtual machine configuration by constructing an optimization model without migration.

[0024] Such as figure 2 As shown, because the change of workload is usually unstable, it is unrealistic to determine the virtual machine configuration at the current moment by predicting the load situation in a certain period of time in the future.

[0025] The optimization model when no migration is described is: in: T is the maximum number of time slots, t is the time slot, x is the virtual machine configuration decision, K is the number of virtual machine types, i is the type of virtual machine, c is the price of different types of virtual machines, μ is the capacity of different types of virtual machines The maximum number of requests served, Γ is the threshold of migration overhead that users can tolerate after time averaging, α is the migration overhead, and λ...

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Abstract

The invention discloses a cloud virtual machine optimal configuration method and system based on a mixed extension mode. The system comprises a non-migration virtual machine configuration module, a migration judgment module, a migration virtual machine configuration module and a configuration application module. The non-migration virtual machine configuration module constructs an optimal model during non-migration to obtain optimized virtual machine configuration; then, the migration judgment module performs deviation calculation on virtual machine configurations obtained before and after optimization to judge whether migration needs to be performed or not; if migration is not needed, the configuration application module directly applies the optimized virtual machine configuration; otherwise, the migration virtual machine configuration module requests a user for preferences of the migration overhead and the cost efficiency, constructs a Lyapunov single-time-slot optimization model, obtains the single-time-slot optimized virtual machine configuration and applies the configuration application module. The cloud virtual machine optimal configuration method and system is reasonable in design, capable of balancing the cost efficiency and the migration overhead and capable of achieving the optimal cost efficiency.

Description

technical field [0001] The present invention relates to a technology in the field of cloud virtual machine configuration, in particular to a cloud virtual machine optimization configuration method and system based on a hybrid expansion mode. Background technique [0002] Thanks to the pay-as-you-go pricing model of cloud computing, more and more enterprises and developers are willing to migrate their services and applications from local infrastructure to the cloud. However, since the workload of these services or applications will fluctuate greatly, it is extremely difficult to make a cost-effective virtual machine configuration. Even experienced cloud administrators cannot make effective virtual machine configurations due to the inability to accurately predict workloads for a period of time in the future. At present, the simple method for virtual machine configuration is to use horizontal expansion, that is, only one type of virtual machine is used, and the cost is achieve...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/455
Inventor 薛广涛卢立俞嘉地钱诗友
Owner SHANGHAI JIAO TONG UNIV
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