System and method for optimization process repeatability in an on-demand computing environment
First Claim
1. A method of providing optimization repeatability in an on-demand computing environment, comprising:
- removing variability in an optimization model instance.
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Abstract
A method (and system) of providing optimization repeatability in an on-demand computing environment removes variability in an optimization model instance and can be exemplarily implemented in a service architecture. The method and system receives a plurality of physical data instances, which are different representations of the same logical data model, and transforms the plurality of physical data instances into a normalized physical data instance, which can be combined with an optimization model to form a unique optimization model instance, thereby providing repeatability in solving optimization problems.
16 Citations
37 Claims
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1. A method of providing optimization repeatability in an on-demand computing environment, comprising:
removing variability in an optimization model instance. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 36)
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14. An optimization method for an on-demand computing environment, comprising:
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receiving a plurality of physical data instances;
transforming said plurality of physical data instances into a normalized physical data instance; and
obtaining an optimization model instance based on an optimization model and said normalized physical data instance.
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15. A system for providing optimization repeatability in an on-demand computing environment, comprising:
a data transformer that removes variability in an optimization model instance. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 37)
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27. A system for providing optimization repeatability in an on-demand computing environment, comprising:
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a receiver that receives a plurality of physical data instances;
a transformer that transforms said plurality of physical data instances into a normalized physical data instance; and
a determiner that determines an optimized model instance based on an optimization model and said normalized physical data instance. - View Dependent Claims (28, 29)
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30. A system for providing optimization repeatability in an on-demand computing environment, comprising:
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means for receiving a plurality of physical data instances and generating a normalized physical data instance from said plurality of physical data instances;
means for determining a unique optimization model instance, based on said normalized physical data instance and an optimization model; and
means for receiving said unique optimization model instance and generating an optimal solution based on said unique optimization model instance.
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31. A signal-bearing medium tangibly embodying a program of machine-readable instructions executable by a digital processing apparatus to perform a method of providing optimization process repeatability in an on-demand computing environment, the method comprising:
removing variability in an optimization model instance.
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32. A method of deploying computing infrastructure in which computer-readable code is integrated into a computing system, and combines with said computing system to perform a method of providing optimization process repeatability in an on-demand computing environment, said method comprising:
removing variability in an optimization model instance. - View Dependent Claims (33, 34, 35)
Specification