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Cloud computing data resource scheduling method considering time and expense

A technology of data resources and scheduling methods, applied in the field of cloud computing, can solve problems such as focusing on scheduling, cost and performance are not considered, and achieve the effect of simple calculation

Inactive Publication Date: 2018-04-13
SUZHOU MING CROWN SOFTWARE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the deficiencies in the prior art, the present invention provides a scheduling model and method based on deadline and cost constraints in the cloud, which solves the problem of focusing on a single cloud scheduling, cost and performance in the existing cloud scheduling And the problem of not considering the cost of the user side

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  • Cloud computing data resource scheduling method considering time and expense
  • Cloud computing data resource scheduling method considering time and expense
  • Cloud computing data resource scheduling method considering time and expense

Examples

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Embodiment Construction

[0053] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0054] Such as figure 1 As shown, a cloud computing data resource scheduling model considering time and cost, including user interface, task request manager and scheduling manager; the user interface is used to send the task request submitted by the user to the task request manager, task request management The controller is used to transmit task request information to the scheduling manager, and the scheduling manager uses the cloud computing data resource scheduling method of the present invention to schedule tasks to On the public cloud or private cloud, the result is returned to the user after the task processing is completed.

[0055] Task request information includes task weight, task siz...

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Abstract

The invention discloses a cloud computing data resource scheduling method considering time and expense. Deadline preference and expense preference policies are proposed; task and resource models in clouds are built; proper scheduling resources can be manually set or adaptively selected according to task demands submitted by a user; tasks with relatively high deadline requirements can be preferentially scheduled to the public cloud; the tasks with high expense requirements can be preferentially scheduled to the private cloud; and the two policies meet deadline and certain expense constraints. The scheduling resources can be adaptively selected or scheduling is performed according to the manually set scheduling policies, so that convenience and simplicity are achieved.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a method for scheduling cloud computing data resources considering time and cost. Background technique [0002] In the cloud computing environment, virtualization technology is used to virtualize the server as a whole into a data resource pool. Due to the variety and large scale of data resources, cloud computing data resource scheduling has become one of the hot spots in cloud computing research. Clouds include local private clouds and public clouds with higher computing capabilities, such as some applications that require stronger computing and storage capabilities, or private cloud resources are overloaded during peak hours and cannot handle more application tasks at the same time. However, how to balance the deployment of cloud resources is a problem. Many existing research methods focus on the scheduling problem of a single cloud in the cloud. This patent will aim at these pr...

Claims

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Application Information

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IPC IPC(8): G06F9/455G06F9/50
CPCG06F9/45558G06F9/5027G06F2009/4557
Inventor 夏泽宇夏钢
Owner SUZHOU MING CROWN SOFTWARE TECH CO LTD
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