Workflow based mixed renting method of cloud computing resources

A workflow and cloud computing technology, applied in computing, buying/selling/lease transactions, commerce, etc., can solve problems such as increasing total operating costs, seldom considering resources, and failing to maximize resource utilization.

Inactive Publication Date: 2017-01-18
SOUTHEAST UNIV
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  • Application Information

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Problems solved by technology

Offline scheduling mainly adopts a single leasing mode, such as on-demand leasing to ensure stable resources; online scheduling considers the hybrid method of bidding leasing mode and on-demand leasing, and many studies have solved the problem of bidding resource price prediction, but due to Offline scheduling is not involved, resource utilization cannot be maximized, thus increasing the total operating cost
In the method of integrating the two, resources of the bidding type leasing mode are rarely considered

Method used

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  • Workflow based mixed renting method of cloud computing resources
  • Workflow based mixed renting method of cloud computing resources
  • Workflow based mixed renting method of cloud computing resources

Examples

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Embodiment Construction

[0067] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0068] A workflow-based hybrid leasing method for cloud computing resources, such as figure 1 As shown, it includes cloud service provider 11 , workflow application 12 , workflow manager 13 , workflow scheduler 14 , leased resource pool 15 , bidding price generator 16 , and error handler 17 . Cloud service providers provide resource leasing services to cloud service users, and resource leasing is billed by time interval. Cloud service users complete their own workfl...

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Abstract

The invention discloses a workflow based mixed renting method of cloud computing resources. A mode that resources are rented according to requirements based on time intervals and a mode that resources are rented by bidding are included. The method mainly comprises the steps of A) offline task scheduling of a mixed renting mode; and B) online operation and dynamic adjustment of tasks. The step A) is mainly characterized in that when time of a task matches that of a virtual machine, a unit time cost priority rule is provided, the utilization rate of the rented virtual machine is improved, and a renting according to requirements mode and the bidding renting charging mode are mixed to reduce the total cost; and the step B) is characterized in that the virtual machine is rented according to requirements, a dynamic bidding price adjust strategy and a bidding failure tolerance mechanism are provided, and the system stability is improved. According to the invention, a proper sub task floating time is calculated, a virtual machine renting mode is selected, a time slot is matched, the bidding strategy and the tolerance mechanism are provided, and the operation cost of the whole workflow application is reduced greatly.

Description

technical field [0001] The invention relates to a workflow-based cloud computing resource hybrid leasing method, belonging to the technical field of cloud computing resource scheduling. Background technique [0002] Cloud computing is a large-scale distributed computing model, which provides resources (such as networks, servers, storage, software, etc.) to users in the form of services. These resources are highly scalable, scalable and available, and the biggest advantage is that for users, they can quickly reduce hardware costs and increase computing power and storage capacity, etc., and obtain extremely high computing quality at a very low cost. . Due to the above advantages, many companies and research institutions are migrating real-time analysis, scientific computing applications, etc. to cloud computing to solve data processing problems of large-scale data volumes. Therefore, how to achieve a reasonable allocation between computing or storage tasks and leased resourc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q30/08
CPCG06Q30/0645G06Q30/08
Inventor 李小平陈俊良陈龙朱夏
Owner SOUTHEAST UNIV
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