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An adaptive approach to multi-tenant servers in the cloud

A server, self-adaptive technology, applied in the direction of climate sustainability, electrical components, transmission systems, etc., can solve the problems of unable to meet the needs of user service quality, waste of resources, waste of funds, etc., to improve on-time completion rate and increase resources , the effect of reducing the impact

Active Publication Date: 2022-06-03
ANHUI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Second, assign backup servers to the top-ranked component servers first. The amount of additional server resources required. If too many server resources are added, unnecessary waste of resources and funds will be caused. If too few server resources are added , which may cause the server to complete the task on time and fail to meet the user's demand for service quality

Method used

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  • An adaptive approach to multi-tenant servers in the cloud
  • An adaptive approach to multi-tenant servers in the cloud
  • An adaptive approach to multi-tenant servers in the cloud

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Embodiment Construction

[0042] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the protection scope of the present invention can be more clearly defined.

[0043] In order to express clearly and clearly, the technical terms involved in the present invention are explained below:

[0044] Component server: The server provided by the cloud service provider can handle various tasks, and the performance and price of each server are different.

[0045] Server in the cloud: A server composed of multiple component servers to handle the complete tasks of customers.

[0046] Execution path: A path from the starting component server to the ending component server. Excluding alternative branches and parallel structures, a component server can belong to multiple execution paths.

[0047] Execution plan: It co...

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Abstract

The invention discloses an adaptive method for a multi-tenant server in the cloud, comprising the following steps: S1: decomposing the entire server into multiple component servers according to functions, and obtaining the average value of the quality parameters of each component server through historical big data; S2: Calculate the criticality of the service quality of the component server and the criticality of the tenant; S3: calculate the criticality of each component server according to the criticality of the service quality and the tenant; S4: calculate the criticality of each component server according to the calculated criticality Ranking; S5: Formulate a service redundancy strategy and determine the final redundancy strategy. The invention greatly reduces the cost of self-repair of the server in the cloud by adopting an active strategy to implement a redundant strategy at the component server that may fail, further improves the on-time completion rate of tasks, and satisfies the user's demand for service quality.

Description

technical field [0001] The invention relates to the field of server building in the cloud, in particular to an adaptive method for a multi-tenant server in the cloud. Background technique [0002] In recent years, cloud computing has developed rapidly, and some enterprises and individuals often need to build their own servers in the cloud computing environment to complete tasks. Especially the servers of some large companies, if there is a problem during the operation, it will be an unimaginable loss. However, when building a server in the cloud, you must face some features such as the variability of the cloud environment. That is to say, when the server built in the cloud is running, it is very likely that the server will fail. So we need to invest a lot of money in the maintenance of cloud servers. [0003] As a new information technology platform, cloud computing environment can provide users with massive and cheap computing, storage and network resources through the I...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L67/10H04L41/5009H04L41/50
CPCH04L67/10H04L41/5009H04L43/55Y02D10/00
Inventor 王福田洪涛章程汤进
Owner ANHUI UNIVERSITY
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