Managing volume placement on disparate hardware

    公开(公告)号:US10719235B1

    公开(公告)日:2020-07-21

    申请号:US15471456

    申请日:2017-03-28

    Abstract: Placement decisions can be made for data storage volumes based at least in part upon the requirements of the storage volumes and the capabilities of the types of hardware available to host those volumes. There may be multiple types of hardware capable of supporting a volume, and the placement can be biased to hardware capable of supporting fewer types of storage volumes in order to ensure sufficient capacity for the various types of storage volumes. A consistent level of performance can also be provided independent of the type of hardware utilized. Hardware can be selected to host a volume that is able to satisfy various volume requirements, and the operation can be adjusted to ensure that the volume requirements are satisfied over time.

    Storage tier-based volume placement

    公开(公告)号:US10725707B2

    公开(公告)日:2020-07-28

    申请号:US16410040

    申请日:2019-05-13

    Abstract: Data volumes for a customer can be placed on various storage tiers, including different hardware types or storage systems, that are determined to be appropriate for the anticipated usage of those data volumes. The actual usage can be monitored to determine one or more types of workload for the data volume, and a determination made as to whether all, or portions, of the data volume could obtain a significant performance improvement by being migrated to a different storage tier. In some instances the chunks or partitions of a volume can be concurrently distributed across multiple different storage tiers in order to satisfy various performance and/or cost criteria. Once workload information is available for a customer, that information can be used to determine the storage tiers for initial placement of subsequent data volumes.

    Storage tier-based volume placement

    公开(公告)号:US10353634B1

    公开(公告)日:2019-07-16

    申请号:US15082610

    申请日:2016-03-28

    Abstract: Data volumes for a customer can be placed on various storage tiers, including different hardware types or storage systems, that are determined to be appropriate for the anticipated usage of those data volumes. The actual usage can be monitored to determine one or more types of workload for the data volume, and a determination made as to whether all, or portions, of the data volume could obtain a significant performance improvement by being migrated to a different storage tier. In some instances the chunks or partitions of a volume can be concurrently distributed across multiple different storage tiers in order to satisfy various performance and/or cost criteria. Once workload information is available for a customer, that information can be used to determine the storage tiers for initial placement of subsequent data volumes.

    Placement of data volumes in a data center

    公开(公告)号:US11023535B1

    公开(公告)日:2021-06-01

    申请号:US15927782

    申请日:2018-03-21

    Abstract: A new metadata field is described that can be used with requests to store a volume in a block storage service. The metadata field is a parameter included in the request and is a logical association identifier that associates the volume to be stored with other already-stored volumes. Using this logical association identifier, the block storage service can ensure that all volumes having the same identifier are sufficiently spread across server computers. The logical association identifier can be a workload identifier indicating that the volumes are all from a same relational database, application, etc. Target customers are defined as customers that request an action of a service within a cloud environment and the service then makes a request to the block storage service. In this case, the service is a customer of the block storage service and it can pass the target customer identifier as the logical association identifier.

    Moving storage volumes for improved performance

    公开(公告)号:US10817325B2

    公开(公告)日:2020-10-27

    申请号:US16279980

    申请日:2019-02-19

    Abstract: Data volumes hosted for customers in a multi-tenant environment can be moved advantageously throughout the environment to improve performance and reduce cost. A data volume can serve I/O for a virtual machine instance, and it can be advantageous for the virtual machine and the data volume to be in the same network locality, or share at least some of the same network state and interconnection. Since there is limited capacity in a network locality, data volumes not attached to virtual machines can be moved to other locations in the environment. This can include moving data volumes to other local network topologies or snapshotting data volumes and writing the snapshots to another storage service. If the data volume is again needed for I/O, the data volume can moved, allocated, or reattached as necessary.

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