A bidding type cloud computing resource leasing strategy dynamic adjustment method and system

A dynamic adjustment and cloud computing technology, applied in the field of cloud computing, can solve problems such as poor reliability of bidding resources, and achieve the effects of ensuring demand service costs, improving reliability, and saving costs

Active Publication Date: 2022-04-19
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] In view of this, the present invention proposes a method and system for dynamically adjusting bidding-type cloud computing resource leasing strategies. According to the online algorithm, the instance is adaptively operated, and different leasing decisions are dynamically made for different instance combinations. While cost-effective, it solves the problem of poor reliability of bidding resources (spotting instances)

Method used

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  • A bidding type cloud computing resource leasing strategy dynamic adjustment method and system
  • A bidding type cloud computing resource leasing strategy dynamic adjustment method and system
  • A bidding type cloud computing resource leasing strategy dynamic adjustment method and system

Examples

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Embodiment 1

[0041] In one or more implementations, a method for dynamically adjusting bidding cloud computing resource leasing policies is disclosed, referring to figure 1 , including the following steps:

[0042] Step 1: Information collection and input, collecting price data of bidding instances on the cloud platform and cleaning the data, users input task requirements, and copy and execute bidding instances in multiple markets according to the collected price data.

[0043] specifically,

[0044] Data collection refers to: at the beginning of the task operation, the price data of multiple markets for bidding instances of the same specification and the price data of storage and pay-as-you-go instances in the corresponding markets are extracted from the cloud service platform;

[0045] CLI is an IaaS (Infrastructure as a Service) management and access function provided by the public cloud platform for users. The CLI provides direct access to the public API of AWS services. Obtain the ...

Embodiment 2

[0077] The purpose of this embodiment is to provide a dynamic adjustment system for bidding cloud computing resource leasing policies. figure 2 ,include:

[0078] The data collection module is used to obtain historical price data of bidding instances on the cloud platform;

[0079] The instance selection module is used to copy and execute bidding instances in multiple markets based on the received task requirements and the collected historical price data, and select the primary instance and the backup instance;

[0080] A time node calculation module, configured to determine the time node for terminating the backup instance;

[0081] The decision-making module is used to judge the states of the primary instance and the backup instance when the running time of the instance reaches the time node, and dynamically adjust the instance leasing policy according to the online algorithm.

[0082] Specifically, the decision-making module specifically includes:

[0083] Space-saving ...

Embodiment 3

[0094] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program realizes the dynamic adjustment method of bidding cloud computing resource leasing strategy in the first embodiment. For the sake of brevity, details are not repeated here.

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Abstract

The invention discloses a method and system for dynamically adjusting bidding-type cloud computing resource leasing strategies, including: obtaining historical price data of bidding instances on a cloud platform; Copy and execute bidding instances in the market, select the primary instance and the backup instance; determine the time node for terminating the backup instance; when the running time of the instance reaches the time node, judge the status of the primary instance and the backup instance, and dynamically set the instance leasing strategy Make adjustments. For the bidding instance, the present invention does not need to use complex prediction technology to predict it, and can achieve the purpose of cost saving.

Description

Technical field: [0001] The present invention relates to the technical field of cloud computing, in particular to a method and system for dynamically adjusting a bidding cloud computing resource leasing strategy. [0002] technical background [0003] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0004] In the traditional mode, users need to purchase expensive infrastructure, software licenses, and professional maintenance personnel to build a system, which is a very large expense. With the development of computer technology, cloud computing can provide users with on-demand use of computer resources for a very short period of time. These resources can be used only by paying a small amount of rent when using them, saving various expenses. [0005] More and more enterprises and individuals choose the IaaS (Infrastructure as a Service) service provided by the cloud com...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0611G06Q30/0645
Inventor潘丽许志伟刘士军
OwnerSHANDONG UNIV