Input-driven transaction-oriented time-space efficiency optimization method for storage and calculation-integrated coordinated adjustment

A technology for efficiency optimization and transaction processing, which is applied in the intersection of distributed computing and software engineering technology, can solve problems such as difficulty in satisfying users to quickly obtain resources, low search efficiency, and limitations

Inactive Publication Date: 2017-09-05
HAINAN UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional search engine technology quickly retrieves and sorts web resources according to user query requirements. For a large number of resources fed back by search engines, users need to manually search and filter, resulting in low search efficiency and difficulty in meeting users' needs for quickly obtaining resources.
Existing techniqu...

Method used

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  • Input-driven transaction-oriented time-space efficiency optimization method for storage and calculation-integrated coordinated adjustment
  • Input-driven transaction-oriented time-space efficiency optimization method for storage and calculation-integrated coordinated adjustment
  • Input-driven transaction-oriented time-space efficiency optimization method for storage and calculation-integrated coordinated adjustment

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specific Embodiment approach

[0045] A transaction-oriented time-space efficiency optimization method for input-driven storage and computing integration and coordinated adjustment, which is characterized in that computing is used to determine storage, storage is used to serve search, and resource object search schemes and resource space storage schemes are considered comprehensively . The specific implementation method is:

[0046] Step 1) corresponds to figure 1 In operation 001, take the value in Z for each element in X in turn to form a combination situation X={X 1i ,X 2j ,X 3k},i,j,k∈{1,2,3};

[0047] Step 2) corresponds to figure 1 In operation 002, for each situation, calculate the cost of transferring resources from the current situation to each situation in IPR (CostMT1) according to formula 1:

[0048] (1)

[0049] Step 3) corresponds to figure 1 In operation 003, take the value in Z for each element in Y in turn to form a combined situation Y={Y 1m ,Y 2n ,Y 3p},m,n,p∈{1,2,3};

[005...

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Abstract

The invention discloses an input-driven transaction-oriented time-space efficiency optimization method for storage and calculation-integrated coordinated adjustment, provides interpretation of resource forms, including data, information and knowledge, and concept representation of a data map, an information map and a knowledge map, and belongs to the field of crossover of distributed calculation and a software engineering technology. Storage is determined by calculation and search is served by storage, and which layer resources should be stored on cannot be judged just from the resource type. The resource type transfer cost and calculation cost scheme with the most reasonable cost is found out according to user input, a resource object search mechanism and a resource space organization scheme are reasonably determined, and improvement of the resource search efficiency is facilitated.

Description

technical field [0001] The present invention is an input-driven storage and computing integrated and coordinated adjustment transaction-oriented spatio-temporal efficiency optimization method, which comprehensively considers resource organization schemes based on storage costs and search costs for resources in the form of data, information, and knowledge. It is mainly used to rationally organize and store resources in the form of data, information, and knowledge through data graphs, information graphs, and knowledge graphs to improve search efficiency. It belongs to the interdisciplinary field of distributed computing and software engineering technology. Background technique [0002] Traditional search engine technology quickly retrieves and sorts webpage resources according to user query requirements. For a large number of resources fed back by search engines, users need to manually search and filter, resulting in low search efficiency and difficulty in meeting users' needs ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/367G06F16/951
Inventor 段玉聪邵礼旭
Owner HAINAN UNIVERSITY
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