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Resource allocation method, device, electronic device, storage medium

A resource allocation and resource technology, applied in electrical components, transmission systems, etc., can solve the problems of insufficient resource utilization and resource allocation, insufficient or excessive matching of cluster resources, only sequential recycling, and different equipment configurations.

Active Publication Date: 2021-04-30
上海精数信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] However, in the existing technology, the scaling strategy and objects are fixed, such as the device configuration of the expansion node encountered in the process of cluster scaling is different, which physical server should be expanded, and what configuration should be used to create a virtual device for expansion, etc.
The use of resources cannot be optimized
[0007] At present, most of the scaling strategies cannot solve the problems that clusters, especially private cloud clusters, encounter insufficient or excessive resource matching in actual scenarios, and can only be recycled sequentially. There are problems in the utilization of resources and the rationality of resource allocation. insufficient

Method used

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  • Resource allocation method, device, electronic device, storage medium
  • Resource allocation method, device, electronic device, storage medium
  • Resource allocation method, device, electronic device, storage medium

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Embodiment Construction

[0051] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar structures in the drawings, and thus their repeated descriptions will be omitted.

[0052] Various embodiments provided by the present invention are described below with reference to the accompanying drawings.

[0053] see first figure 1 , figure 1 A flow chart of a resource allocation method according to an embodiment of the present invention is shown. figure 1 A total of 6 steps are shown:

[0054] Step S110: From the task group with the highest current priority, determine the task with the highest curr...

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Abstract

The present invention provides a resource allocation method, device, electronic device and storage medium. The method includes: determining the task with the highest current priority from the task group with the highest current priority; according to the optimal historical service quality value corresponding to the task with the highest current priority, allocating resources to the task with the highest priority at present, and The assigned resources create cluster nodes for resource expansion of the task group with the highest current priority; the created cluster node executes the task with the highest current priority; after the execution of the task with the highest current priority is completed, calculate the assigned cluster node Corresponds to the QoS value of the task with the highest current priority; if the calculated QoS value is the best among the historical QoS values ​​corresponding to the current task with the highest priority, the created cluster node will be recycled; Priority and the priority of each task in each task group. The method and device provided by the present invention optimize resource allocation.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to a resource allocation method, device, electronic equipment, and storage medium. Background technique [0002] In the current various cloud computing application scenarios, the load of the server is always changing, and it may encounter a sudden large traffic, or a low load. For cost considerations, it is necessary to increase the number of servers when the load is high to cope with large traffic, and reduce the number of servers when the load is low to reduce costs. [0003] Therefore, elastic scaling has become one of the important characteristics of the cluster. Its policy determines whether the cluster can automatically expand and contract resources according to the operation requirements in a timely and flexible manner to adapt to changes in requirements. [0004] At the same time, resources are a kind of cost for the cluster. In order to obtain higher ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/61
Inventor 滕斌张歆薇
Owner 上海精数信息科技有限公司