Fetching Query Results Through Cloud Object Stores
US-2024394271-A1 · Nov 28, 2024 · US
US9106675B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9106675-B2 |
| Application number | US-81723810-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 17, 2010 |
| Priority date | Jun 17, 2010 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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Embodiments of the present invention provide an integrated host and subsystem port selection methodology that uses performance measurements combined with information about active data paths. This technique also helps in resilient fabric planning by selecting ports from redundant fabrics. In a typical embodiment, host port to storage port pairs that create a path between a host and a storage device will be identified. From these pairs, a set of host port to storage port candidates for communicate data from the host to the storage device will be identified based on a set of resiliency constraints. Then, a specific host port to storage port pair will be selected from the set based on a lowest joint workload measurement. A path will then be created between the specific host port and storage port, and data will be communicated from the host to the storage device via the path.
Opening claim text (preview).
What is claimed is: 1. A method for intelligent network storage planning within a cloud computing environment, comprising: defining the cloud computing environment as a network of independent cloud networks; identifying host port to storage port pairs that create a network path between a host of one of the cloud networks and a storage device of another of the cloud networks within the cloud computing environment, each storage port in the host port to storage port pairs being use…
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