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A cloud computing scheduling system

A scheduling system and cloud computing technology, applied in the field of cloud computing, can solve the problems of waste of resources and energy, low utilization rate, etc., and achieve the effect of balancing link load, improving carrying capacity, and improving flexibility

Inactive Publication Date: 2020-06-09
SHANDONG LABOR VOCATIONAL & TECHN COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] How to reasonably allocate user task requests on server clusters and virtual machines, so that each server can achieve a relatively load-balanced state, and at the same time, try to avoid opening too many servers with low utilization rates, which will cause serious resource and energy consumption. Waste is a difficult problem that we must pay attention to

Method used

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  • A cloud computing scheduling system

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Embodiment Construction

[0030] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0031] Such as figure 1 As shown, the embodiment of the present invention provides a cloud computing scheduling system, including

[0032] The information collection module is composed of various functional detection modules, which are used to regularly and quantitatively detect the workload parameters of each virtual machine;

[0033] The task receiving module is used to receive the user's task demand data, and collect the received demand data into a certain number and send it to the scheduling decision-making module, the number of which is not less than 2 but not more than 10;

[0034] The electronic equipment working condition access module is used to access the real-time operating condition information of each electronic equipment;

[0035] The dat...

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Abstract

The invention discloses a cloud computation scheduling system. The system comprises an information acquisition module, a task reception module, an electronic equipment working condition access module,a data preprocessing module, a cloud computation prediction sub-module, a cloud computation combined scheduling analysis module, an expert decision-making analysis module and a man-machine interaction module. According to the system, a centralized task scheduling method is adopted; when a user task arrives, the user task is temporarily stored in a user task set; optimal output of a task distribution scheme is carried out through a combined group scheduling manner; and in the whole computation process, working load condition of each virtual machine is monitored and a scheduling decision is dynamically updated in real time, so that bearing ability of a server is effectively improved, a link load is balanced, network throughput is increased and flexibility is enhanced.

Description

technical field [0001] The technical field of cloud computing of the present invention particularly refers to a cloud computing scheduling system. Background technique [0002] Cloud computing is the integration and development of parallel computing, distributed computing, and grid computing. It is a revolution integrating software technology, hardware technology, virtual technology, and network technology. Cloud computing needs to realize the on-demand allocation of resources on the Internet like water and electricity, and can dynamically adjust according to the complexity of the request task and the size of the data set, which can improve the horizontal scalability of the system and greatly reduce the cost of hardware and software. resource cost. [0003] The simple explanation of a server cluster is to gather multiple servers together to provide external services. The cluster is hidden from the client, and the client feels as if a server provides services to it. The clu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/455G06F9/50
CPCG06F9/45558G06F9/5027G06F2009/4557
Inventor 甘博金山邢海燕陈静王芬冯冲赵烽任洪亮
Owner SHANDONG LABOR VOCATIONAL & TECHN COLLEGE