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Organization and management method and system for personalized service requirements

A technology of organizational management and demand, applied in the field of cloud services, can solve the problems of insufficient support for dynamic allocation, insufficient intelligence of resource allocation, low efficiency of multi-constraint sorting, etc., and achieve the effect of efficient and orderly dynamic resource matching

Pending Publication Date: 2020-11-06
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] 1. Sorting according to multiple constraints is inefficient
[0008] 2. Resource allocation is not intelligent enough
[0009] 3. Insufficient ability to support dynamic allocation

Method used

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  • Organization and management method and system for personalized service requirements
  • Organization and management method and system for personalized service requirements

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Embodiment Construction

[0034] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0035] The present invention provides a method for organization and management of personalized service requirements, including the following steps:

[0036] Step 1. First, the statistical analysis module conducts statistical analysis on the user's needs, identifies and entropy statistics the personalized services among them in the form of matrix modeling, and filters common sub-services (this part of the service requires static matched, and static matching is out of the scope of the present invention).

[0037] Assume that a sub-service model matrix is ​​a 1*n matrix {S1, S2, S3,...Sn}, where n represents the number of identified sub-services, and Si represents t...

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PUM

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Abstract

The invention provides an organization and management method and system for personalized service requirements. Counting and analyzing entropies of personalized sub-services in a large number of cloudservices; entropy is used as a key value code, a large number of personalized service modes are built into an AVL tree, repeated key codes are stored in a hash table, and when a user initiates a service request on a cloud platform, the specific content, characteristics, associated requirements, comprehensive recommendation and the like of personalized requirements of the user can be quickly indexed through the data structure and method. According to the invention, a dynamic link integration model for personalized services can be established, so that the compatibility of resources and servicesis improved, and the matching efficiency and integration efficiency of demands and resources are improved.

Description

technical field [0001] The invention belongs to the technical field of cloud services, and relates to an organization management method and system for personalized service requirements. Background technique [0002] Cloud services are a large number of readily available services provided by cloud service providers. Cloud computing integrates, manages, and deploys computing resources distributed throughout the network, and provides services to a large number of users at the same time with a unified interface. Traditional resource-centered service computing tries to meet customer needs with a large number of customization methods at low cost, but sacrifices the degree of personalization and reduces customer satisfaction. [0003] Personalized requirements refer to the non-deterministic and non-common requirements in cloud services. For example, making a travel itinerary, booking a hotel, booking an air ticket, booking a ticket, etc. are common needs, while booking a five-sta...

Claims

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Application Information

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IPC IPC(8): G06Q10/02G06Q50/12G06F16/22G06F16/2458
CPCG06Q10/02G06Q50/12G06F16/2246G06F16/2255G06F16/2462
Inventor 王瑾李小平朱夏
Owner SOUTHEAST UNIV
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