Storage resource management information modeling in a cloud processing environment
US-8972405-B1 · Mar 3, 2015 · US
US2016352836A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016352836-A1 |
| Application number | US-201415114755-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 21, 2014 |
| Priority date | Feb 21, 2014 |
| Publication date | Dec 1, 2016 |
| Grant date | — |
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Repository data fragments distributed across one or both of a first cloud and a network may be accessed. The repository data fragments may be combined into repository data. First resources of the first cloud, a dependency between the first resources, and second resources of a second cloud may be discovered. A migration map between the first cloud and the second cloud may be generated based on the discovered first and second resources and based on the repository data. The first resources may be migrated to the second cloud based on the migration map.
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What is claimed is: 1 . A computer implemented method of cloud migration, the method comprising: accessing repository data fragments distributed across one or both of a first cloud and a network; combining the repository data fragments into repository data; discovering first resources of the first cloud, a dependency between the first resources, and second resources of a second cloud; generating a migration map between the first cloud and the second cloud based on the discovered first and second resources and based on the repository data; and migrating the first resources to the second cloud based on the migration map. 2 . The computer implemented method of claim 1 wherein the repository data represents a migration archetype comprising an archetypical migration map or an archetypal cloud topology. 3 . The computer implemented method of claim 1 wherein the repository data represents resources and dependencies previously discovered in a past migration to the first cloud. 4 . The computer implemented method of claim 1 wherein the data fragments are distributed across the first cloud. 5 . The computer implemented method of claim 1 wherein the data fragments are distributed across the network, the network being the Internet. 6 . The computer implemented method of claim 1 wherein the repository data is represented in an ontology language. 7 . The computer implemented method of claim 6 wherein the ontology language is OWL (Web Ontology Language) or RDF (Resource Description Framework). 8 . The computer implemented method of claim 6 wherein the repository data fragments are accessed using SPARQL (SPARQL Protocol and RDF Query Language). 9 . The computer implemented method of claim 1 further comprising generating a model of the first cloud based on the discovered first resources and first dependencies, the model expressed in declarative language, wherein the migration map is generated based on the model. 10 . The computer implemented method of claim 1 further comprising discovering a capacity attribute of the second cloud, wherein the migration map is generated based on the discovered capacity attribute. 11 . The computer implemented method of claim 1 further comprising recursively modifying the migration map to increase accuracy of the migration map, wherein the migration is based on the modified migration map. 12 . The computer implemented method of claim 1 wherein the discovery is automatic. 13 . A non-transitory computer readable storage medium including executable instructions that, when executed by a processor, cause the processor to: access repository data fragments distributed across at least one of a first cloud and a network; combine the repository data fragments into repository data; discover a first cloud topology of the first cloud and a second cloud topology of the second cloud, the first cloud topology representing resources of the first cloud; determining a migration map between the first and second clouds based on the first and second cloud topologies and the repository data; and migrating the resources to the second cloud based on the migration map. 14 . The non-transitory computer readable storage medium of claim 13 wherein the repository data represents at least one of an archetypical migration map, an archetypal cloud topology, and a resources and dependencies previously discovered in a past migration to the first cloud. 15 . A cloud controller comprising: a memory; and a processor coupled to the memory to: access data fragments distributed across one or both of a first cloud and a network; combine the data fragments into repository data; discover first resources of the first cloud and a capacity attribute of a second cloud; generate a migration map between the first cloud and the second cloud based on the discovered first resources, the discovered capacity attribute, and the repository data; and migrate the first resources to the second cloud based on the migration map.
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