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Scheduling method of cloud computing resources

A scheduling method and cloud computing technology, applied in the field of cloud computing, can solve the problems of no solution, inflexible resource scheduling, change of local target service level settings, etc., and achieve the effect of improving resource utilization.

Inactive Publication Date: 2015-03-11
CHENGDU YINGLITUO INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing technology has the following disadvantages: 1) The service provider needs to analyze or estimate the database access characteristics of the user; 2) The resource scheduling is not flexible, and when the user intensively visits certain nodes at certain moments, a timely response cannot be obtained; 3 ) is not conducive to real-time management, and local target service level settings need to be changed frequently
[0004] Therefore, for the above-mentioned problems existing in related technologies, effective solutions have not yet been proposed

Method used

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  • Scheduling method of cloud computing resources

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Embodiment Construction

[0033] The following and accompanying appendices illustrating the principles of the invention Figure 1 A detailed description of one or more embodiments of the invention is provided together. The invention is described in connection with such embodiments, but the invention is not limited to any embodiment. The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details.

[0034] In general, a global target service level is synthesized by storing the database access of each node. The key lies in how to decompose the global target service level into appropriate local target service levels, so as to perform...

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PUM

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Abstract

The invention provides a scheduling method of cloud computing resources. The scheduling method of the cloud computing resources includes: using the maximum burst load, average throughput and the maximum response time to rectify database access requests sent out by a virtual machine so as to form an access request queue; when the access request queue is not full, preferentially scheduling the database access request highest in real time performance through concentrated scheduling; when the access request queue is blocked, calculating the quantities of resources needed by the virtual machine to allocate on all nodes, and processing a high loading request through distributed scheduling of all the nodes. The scheduling method of the cloud computing resources improves utilization rate of database access resources according to database access characteristics of the virtual machine, and performs reasonable resource allocation on the access requests.

Description

technical field [0001] The invention relates to cloud computing, in particular to a method for scheduling cloud computing resources. Background technique [0002] In cloud computing applications, virtual machines purchased by users are built on hosts provided by cloud service providers, and each host of the service provider can run multiple virtual machines for use by one or more users. In order to facilitate data management and exchange, these hosts usually share a centralized storage resource pool, which brings some new challenges to database access resource scheduling. First of all, although virtualization ensures that each virtual machine assumes that it can obtain independent dedicated resources, in fact, the database access performance of each distributed storage node is limited, and the competition for database access resources between different virtual machines causes each The actual database access performance of the virtual machine is limited. Different from CPU ...

Claims

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Application Information

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IPC IPC(8): G06F9/50
Inventor 田野夏梅宸刘志才祝昌宇卢力君
Owner CHENGDU YINGLITUO INFORMATION TECH
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