Dynamic model-based analysis of data centers
First Claim
1. A method for model-based analysis of a data center, the method comprising:
- creating a metamodel based on domain knowledge to represent at least one type of object and/or relationship of a data center;
using static and dynamic configuration and data analysis techniques to discover topology of one or more elements of the data center and represent the topology as a model that is an instance of the metamodel;
extending the metamodel by identifying one or more types of services corresponding to one or more newly discovered topology nodes;
using the model to perform analysis of the data center in connection with a specified task;
leveraging domain knowledge represented in one or more nodes of the extended metamodel to guide the analysis in terms of determining one or more guidelines to apply to each node and determining one or more relationships to traverse to continue the analysis;
extending the domain knowledge by updating the extended metamodel upon discovery of additional knowledge for use in improving one or more analysis tasks; and
extending the model on-demand using one or more dynamic analysis techniques upon detection of multiple analysis failures;
wherein the steps are carried out by at least one computer device.
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Abstract
Techniques for model-based analysis of a data center. A method includes creating a metamodel based on domain knowledge to represent a type of object and/or relationship of a data center, using static and dynamic configuration and data analysis techniques to discover topology of elements of the data center and represent the topology as a model that is an instance of the metamodel, extending the metamodel, using the model to perform analysis of the data center in connection with a specified task, leveraging domain knowledge represented in nodes of the extended metamodel to guide the analysis in terms of determining guidelines to apply to each node and determining relationships to traverse to continue the analysis, extending the domain knowledge by updating the extended metamodel upon discovery of additional knowledge for use in improving analysis tasks, and extending the model on-demand using dynamic analysis techniques upon detection of multiple analysis failures.
16 Citations
20 Claims
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1. A method for model-based analysis of a data center, the method comprising:
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creating a metamodel based on domain knowledge to represent at least one type of object and/or relationship of a data center; using static and dynamic configuration and data analysis techniques to discover topology of one or more elements of the data center and represent the topology as a model that is an instance of the metamodel; extending the metamodel by identifying one or more types of services corresponding to one or more newly discovered topology nodes; using the model to perform analysis of the data center in connection with a specified task; leveraging domain knowledge represented in one or more nodes of the extended metamodel to guide the analysis in terms of determining one or more guidelines to apply to each node and determining one or more relationships to traverse to continue the analysis; extending the domain knowledge by updating the extended metamodel upon discovery of additional knowledge for use in improving one or more analysis tasks; and extending the model on-demand using one or more dynamic analysis techniques upon detection of multiple analysis failures; wherein the steps are carried out by at least one computer device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An article of manufacture comprising a non-transitory computer readable storage medium having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising:
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creating a metamodel based on domain knowledge to represent at least one type of object and/or relationship of a data center; using static and dynamic configuration and data analysis techniques to discover topology of one or more elements of the data center and represent the topology as a model that is an instance of the metamodel; extending the metamodel by identifying one or more types of services corresponding to one or more newly discovered topology nodes; using the model to perform analysis of the data center in connection with a specified task; leveraging domain knowledge represented in one or more nodes of the extended metamodel to guide the analysis in terms of determining one or more guidelines to apply to each node and determining one or more relationships to traverse to continue the analysis; extending the domain knowledge by updating the extended metamodel upon discovery of additional knowledge for use in improving one or more analysis tasks; and extending the model on-demand using one or more dynamic analysis techniques upon detection of multiple analysis failures. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. A system for model-based analysis of a data center, comprising:
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a memory; and at least one processor coupled to the memory and operative for; creating a metamodel based on domain knowledge to represent at least one type of object and/or relationship of a data center; using static and dynamic configuration and data analysis techniques to discover topology of one or more elements of the data center and represent the topology as a model that is an instance of the metamodel; extending the metamodel by identifying one or more types of services corresponding to one or more newly discovered topology nodes; using the model to perform analysis of the data center in connection with a specified task; leveraging domain knowledge represented in one or more nodes of the extended metamodel to guide the analysis in terms of determining one or more guidelines to apply to each node and determining one or more relationships to traverse to continue the analysis; extending the domain knowledge by updating the extended metamodel upon discovery of additional knowledge for use in improving one or more analysis tasks; and extending the model on-demand using one or more dynamic analysis techniques upon detection of multiple analysis failures.
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Specification