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A cloud simulation task scheduling method based on hybrid queuing network

A task and task allocation technology, applied in the direction of multi-program device, program control design, instrument, etc., can solve the problem of incomplete description of the simulation application service situation, and achieve the effect of realizing global effect and dynamic allocation

Active Publication Date: 2022-03-04
BEIJING SIMULATION CENT
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Problems solved by technology

Cloud simulation applications are deployed on virtual machines. For different application services, when performing co-simulation jobs, the dynamic allocation of virtual machines for simulation applications is suitable for closed-loop queuing networks. When executing batch jobs and interactive jobs, virtual machines for simulation applications The dynamic provisioning is suitable for the open-loop queuing network, and only using a single queuing network cannot fully describe the simulation application service situation

Method used

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  • A cloud simulation task scheduling method based on hybrid queuing network
  • A cloud simulation task scheduling method based on hybrid queuing network
  • A cloud simulation task scheduling method based on hybrid queuing network

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Embodiment Construction

[0036] In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0037] Such as figure 1 As shown, this embodiment discloses a cloud simulation task scheduling method based on a hybrid queuing network. In this embodiment, the cloud simulation task scheduling method includes:

[0038] S1: Calculate the amount of resources required by multiple cloud simulation tasks. Wherein, after receiving the cloud simulation task, the SLA manager may first judge whether to accept the task.

[0039] Specifically, S1 may include:

[0040] S11: Determine the main parameters of the cloud simulation ta...

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Abstract

The invention discloses a cloud simulation task scheduling method based on a hybrid queuing network, which includes calculating the amount of resources respectively required by multiple cloud simulation tasks; and dividing the priority of the multiple cloud simulation tasks according to the resource amount of each cloud simulation task ; Construct multiple sub-queues, assign multiple cloud simulation tasks to the multiple sub-queues according to the request entry time of multiple cloud simulation tasks and the number of cloud simulation tasks that each sub-queue can bear, to provide an optimized cloud simulation The task scheduling method improves the processing efficiency of cloud simulation tasks.

Description

technical field [0001] The invention relates to the technical field of cloud simulation task scheduling. More specifically, it relates to a cloud simulation task scheduling method based on a hybrid queuing network. Background technique [0002] In recent years, researchers have done a lot of research on resource scheduling in the cloud environment, mainly including the following research directions: research on resource allocation and scheduling to reduce energy consumption of data centers in cloud computing environments; to improve system resource utilization Resource management and scheduling research based on the target rate; research on cloud resource management model based on economics and other related research. However, these studies are all based on the premise of rational and effective use of current resources, without considering the entry and exit mechanisms of user tasks. [0003] The queuing network studies the various states that a system presents when it pro...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/48
CPCG06F9/4881G06F2209/484
Inventor 郭丽琴邢驰肖莹莹林廷宇赵志龙
Owner BEIJING SIMULATION CENT
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