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A parallel-sequential cloud service platform task allocation system and task allocation method

A cloud service platform and task allocation technology, applied in the field of cloud computing, can solve the problems of not only considering the load of a single physical node, inconsistent computing performance, and poor computing performance due to computing requirements

Active Publication Date: 2019-10-29
广州高能计算机科技有限公司
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Problems solved by technology

[0010] Since the virtual machines of the parallel cloud service platform are irregularly distributed on multiple physical nodes, the load of a single physical node cannot be considered only when assigning tasks; furthermore, since the computing performance of each physical node may be inconsistent, If you only refer to the load of physical nodes, it is possible to assign tasks with greater computing requirements to physical nodes with poorer computing performance.

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  • A parallel-sequential cloud service platform task allocation system and task allocation method
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  • A parallel-sequential cloud service platform task allocation system and task allocation method

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Embodiment Construction

[0221] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, wherein the schematic embodiments and descriptions are only used to explain the present invention, but are not intended to limit the present invention.

[0222] In the first aspect, the present invention provides a parallelized cloud service platform task assignment system, such as figure 1 As shown, including: computing cluster 200 and cloud platform control module 100;

[0223] Wherein, the cloud platform control module 100 is connected to the computing cluster 200, and the computing cluster 200 includes at least one physical node, and at least one virtual machine runs on the physical node;

[0224] The cloud platform control module 100 is used to acquire the number of the physical nodes, the number of hardware types of each of the physical nodes, and the hardware parameters of each of the hardware, and construct a physical node hardware parame...

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Abstract

The invention provides a task allocation system for a parallel ordering cloud service platform, comprising a computing cluster and a cloud platform control module. The cloud platform control module is used for acquiring the hardware parameters of virtual machines on each physical node, the idle rate and the weight score of each physical node, segmenting tasks according to the hardware parameters of the virtual machines on each physical node, the idle rate, the weight score of each physical node and preset parameters, and allocating the segmented tasks to the corresponding virtual machines. The invention further provides a task allocation method for a parallel ordering cloud service platform. The allocation weight of a task is computed according to the load of each part of a virtual machine, the hardware performance of each part of a virtual machine and the hardware performance of a corresponding physical node, and the task is allocated according to the allocation weight. Thus, task allocation is scientific and reasonable, and tasks issued by users can be performed in time.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a parallel-sequenced cloud service platform task allocation system and task allocation method. Background technique [0002] Cloud computing is another great change after the big change from mainframe computer to client-server in the 1980s. It is Distributed Computing, Parallel Computing, Utility Computing and Network Storage. Storage Technologies), virtualization (Virtualization), load balancing (Load Balance), hot backup redundancy (High Available) and other traditional computer and network technology development and fusion products. [0003] The cloud computing platform provides users with available, convenient, and on-demand network access. Users enter a configurable shared pool of computing resources (resources include networks, servers, storage, application software, and services), and can quickly obtain the above-mentioned resources with little management work and little in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08G06F9/50
CPCG06F9/5083H04L67/1004H04L67/1097Y02D30/50
Inventor 张彦彬林铭杰叶政晟
Owner 广州高能计算机科技有限公司
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