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Multi-server configuration profit maximization method based on customer perception value and risk awareness

A customer-perceived value, multi-server technology, applied in the field of multi-server configuration profit maximization, can solve the problems of not accurately reflecting the supply and demand law of the cloud service market, and less consideration of user service requests and cloud service providers interaction.

Inactive Publication Date: 2020-07-28
NANJING UNIV OF SCI & TECH
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  • Abstract
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  • Claims
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Problems solved by technology

However, existing configuration strategies such as COMCPM and OMCPM, two state-of-the-art benchmarking methods, rarely consider the interaction between user service requests and cloud service providers.
They pre-set the price of service requests, rather than dynamically adjusting the price of service requests according to market conditions, which cannot accurately reflect the law of supply and demand in the cloud service market
Furthermore, few allocation strategies have previously taken into account the risks involved in pricing contracts

Method used

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  • Multi-server configuration profit maximization method based on customer perception value and risk awareness
  • Multi-server configuration profit maximization method based on customer perception value and risk awareness
  • Multi-server configuration profit maximization method based on customer perception value and risk awareness

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Embodiment Construction

[0130] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0131] In one embodiment, combined with figure 1 , provides a profit maximization method for multi-server configuration based on customer perceived value and risk awareness, including the following steps:

[0132] Step 1, establish a cloud service provider model;

[0133] Step 2, establish a customer perceived value model;

[0134] Step 3, obtain user needs based on customer perceived value;

[0135] Step 4, obtain the optimal multi-server configuration based on risk perception profit maximization.

[0136] Further, in one of the embodiments, the above step 1 establish...

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Abstract

The invention discloses a multi-server configuration profit maximization method based on customer perception value and risk awareness. The method comprises the following steps: establishing a cloud service provider model; establishing a customer perception value model; solving a user demand based on a customer perception value; and solving the optimal multi-server configuration of profit maximization based on risk awareness. The method can accurately capture the real condition of supply and demand of the cloud service market, considers the risk in pricing contracts, and has great significancein the field of cloud computing resource configuration. And compared with the existing two benchmark test methods, the average profit is greatly improved.

Description

technical field [0001] The invention belongs to the field of cloud computing resource configuration, in particular to a profit maximization method for multi-server configuration based on customer perceived value (CPV) and risk awareness. Background technique [0002] With the widespread deployment of infrastructure in cloud computing and the rapid development of virtualization technology, more and more enterprises have begun to adopt cloud services, and various cloud service providers have emerged as the times require. The goal of cloud service providers is to maximize profits. To achieve this goal, cloud service providers need to have a good understanding of the economics of cloud computing. However, existing configuration strategies such as COMCPM and OMCPM, two state-of-the-art benchmarking methods, rarely consider the interaction between user service requests and cloud service providers. They pre-set the price of service requests instead of dynamically adjusting the pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F30/20G06Q30/02
CPCG06Q10/06315G06Q10/0635G06Q30/0206
Inventor 张功萱王添沈伟周俊龙
Owner NANJING UNIV OF SCI & TECH
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