Data classification system for hybrid clouds
US-9953075-B1 · Apr 24, 2018 · US
US2017048314A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2017048314-A1 |
| Application number | US-201415118545-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 21, 2014 |
| Priority date | Feb 21, 2014 |
| Publication date | Feb 16, 2017 |
| Grant date | — |
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First resources of a first cloud, a first dependency between the first resources, and second resources of a second cloud may be automatically discovered. 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. The migration map may be recursively modified to increase accuracy of the migration map. The first resources may be migrated to the second cloud based on the modified migration map.
Opening claim text (preview).
What is claimed is: 1 . A computer implemented method of cloud migration, the method comprising: automatically discovering first resources of a first cloud, a first 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; recursively modifying the migration map to increase accuracy of the migration map; and migrating the first resources to the second cloud based on the modified migration map. 2 . The computer implemented method of claim 1 wherein the migration map is generated based on a migration archetype. 3 . 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. 4 . 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. 5 . The computer implemented method of claim 1 wherein the migration map comprises: a mapping between one of the first resources and one of the second resources; and a complexity indicator representing complexity of migration associated with the mapping. 6 . The computer implemented method of claim 1 wherein migrating the first resources comprises: cloning one of the first resources to migrate to the second cloud; and replicating another of the first resources to migrate to the second cloud. 7 . The computer implemented method of claim 1 wherein migrating the first resources comprises: generating a virtual private cloud comprising the first resources; and migrating the first resources from the virtual private cloud to the second cloud. 8 . The computer implemented method of claim 1 wherein recursively modifying the migration map comprises: determining whether the migration map has an error; modifying the migration map based on the determination; and iterating the determining and the modifying steps. 9 . The computer implemented method of claim 8 wherein modifying the migration map based on the determination comprises modifying the migration map based on user input. 10 . The computer implemented method of claim 8 wherein modifying the migration map based on the determination comprises modifying the migration map based on additional discovery of one of the first cloud and the second cloud. 11 . The computer implemented method of claim 8 wherein determining whether the migration map has the error comprises simulating migration of the first resources to the second cloud to determine whether the migration map has the error. 12 . A non-transitory computer readable storage medium including executable instructions that, when executed by a processor, cause the processor to: automatically discover a cloud topology of a first cloud and a capacity attribute of a second cloud, the cloud topology representing resources of the first cloud; determine a migration map between the first and second clouds based on the cloud topology and the capacity attribute; recursively modify the migration map to remove errors in the migration map; migrate the resources to the second cloud based on the modified migration map. 13 . A cloud controller comprising: a memory; and a processor coupled to the memory to: discover first resources of a first cloud, a first dependency between the first resources, and second resources of a second cloud; generate, based on the discovered first and second resources, a migration map between the first cloud and the second cloud, the migration map comprising a complexity indicator representing complexity of migration associated with the mapping; and migrate the first resources to the second cloud based on the migration map. 14 . The cloud controller of claim 13 wherein the processor is to generate 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. 15 . The cloud controller of claim 13 wherein the processor is to discover a capacity attribute of the second cloud, wherein the migration map is generated based on the discovered capacity attribute.
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