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公开(公告)号：CA2755605C
公开(公告)日：2019-08-13
申请号：CA2755605
申请日：2011-10-21
Applicant: IBM CANADA LTD IBM CANADA LIMITEE
Inventor： BENAYON JAY WILLIAM , SOLOMON ANDREI FLORIN , LITOIU MARIN , LAU ALEX TAK KWUN , SZALOKY VINCENT
Abstract: An illustrative embodiment of a computer-implemented process for online simulation model optimization receives data representative of a business process captured in real time to form instance metrics, aggregates the instance metrics to form aggregated instance metrics and filters the aggregated instance metrics to form calibrated data. The computer-implemented process iteratively computes an output value using the calibrated data by a simulation model, and responsive to a determination that the output value is not within the predetermined tolerance of the error threshold, adjusts a weight previously assigned to an aggregated instance metric by the particle filter to form recalibrated data, whereby the recalibrated data is submitted to the simulation model for computation and responsive to a determination that the output value is within the predetermined tolerance of the error threshold, sends a result to a correction selection process of a business process optimizer, wherein the result is a value selected from a set of values including the output value, the calibrated data and the recalibrated data.
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公开(公告)号：CA2755605A1
公开(公告)日：2013-04-21
申请号：CA2755605
申请日：2011-10-21
Applicant: IBM CANADA
Inventor： BENAYON JAY WILLIAM , SOLOMON ANDREI FLORIN , LITOIU MARIN , LAU ALEX TAK KWUN , SZALOKY VINCENT F
Abstract: An illustrative embodiment of a computer-implemented process for online simulation model optimization receives data representative of a business process captured in real time to form instance metrics, aggregates the instance metrics to form aggregated instance metrics and filters the aggregated instance metrics to form calibrated data. The computer-implemented process iteratively computes an output value using the calibrated data by a simulation model, and responsive to a determination that the output value is not within the predetermined tolerance of the error threshold, adjusts a weight previously assigned to an aggregated instance metric by the particle filter to form recalibrated data, whereby the recalibrated data is submitted to the simulation model for computation and responsive to a determination that the output value is within the predetermined tolerance of the error threshold, sends a result to a correction selection process of a business process optimizer, wherein the result is a value selected from a set of values including the output value, the calibrated data and the recalibrated data.
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公开(公告)号：CA2372891A1
公开(公告)日：2003-08-21
申请号：CA2372891
申请日：2002-02-21
Applicant: IBM CANADA
Inventor： STARKEY MICHAEL , LITOIU MARIN
Abstract: In the process of hierarchical composition of software component types, the reusability of software component types is improved through the "promotion of features". That is, a feature of an instance of a predetermined software component type may be promoted to a software component type containing instances of the predetermined software component type. The promoted feature may then be customized when the containing software component type is instantiated.
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公开(公告)号：CA2618535A1
公开(公告)日：2009-07-23
申请号：CA2618535
申请日：2008-01-23
Applicant: IBM CANADA
Inventor： BIRSAN VALENTINA , WARD PAUL ANDREW SOLOMON , QUAN KEVIN , LITOIU MARIN
Abstract: A computer-implemented method, system and computer usable program code for solving an application failure using social collaboration are provided. A search request to search a central repository of knowledge is received. The search request comprises a user identity and an application failure problem to be solved. The central repository of knowledge comprises data regarding attempts to solve an application failure problem compiled from registered users of the central repository of knowledge. A determination is made as to whether the application failure problem to be solved exists in the central repository. If the application failure problem to be solved exists within the central repository, search results for previous attempts at solving the application failure problem are collected. The search results are ranked based on a frequency of access and feedback from users and are grouped according to social groupings defined by the requestor. The results are displayed to a requestor.
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