Computing system and method for controlling the execution of a decision process to maintain the data access efficiency upon receipt of an availability information inquiry

Active Publication Date: 2014-03-27
AMADEUS S
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0017]Maintaining a high quality of service by choosing an appropriate target

Problems solved by technology

A challenge is to quickly react to a rapid variation such as a growth of computation inquiries or a crisis (like a polling outage) and meanwhile to maintain the data access efficienc

Method used

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Examples

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Example

[0036]FIGS. 1 and 2 give an example of a first embodiment of the invention. In the embodiment, a polling error rate of an inventory source is monitored and utilized to drive a decision process on how to use the inventory source. Further embodiments of the invention are depicted in FIG. 3 through 6. The embodiments can be combined with each other.

[0037]FIG. 1 is an example of an architecture block diagram of an availability inquiry system 10 according to the present invention. In the present embodiment, after receiving a computation inquiry, which is here an availability request r1, the availability inquiry system 10 can dynamically choose one from at least two data sources and retrieve the corresponding data from the chosen data source by applying a data source adaptation method to compute a decision rule. The data source adaptation method requires a polling error rate of an inventory source as an input data. The polling error rate represents a ratio between a number of access failures

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Abstract

Computer-implemented reservation method and system. The method utilized for controlling the execution of a decision process by a computer backend machine of a computer network upon receipt of a computation inquiry includes associating to the computer backend machine a configuration file containing at least a decision rule that drives the decision process and that is computed at least from a current value of a statistical indicator and a target value of the statistical indicator; periodically obtaining an updated value of the statistical indicator; upon detection that the updated value is differing from the target value, dynamically updating the configuration file which further comprises re-computing the decision rule using the updated value as new current value, and storing in real-time the re-computed decision rule in the configuration file.

Description

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Claims

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Application Information

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Owner AMADEUS S
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