公开(公告)号：US10564870B1

公开(公告)日：2020-02-18

申请号：US15058860

申请日：2016-03-02

Applicant: Amazon Technologies, Inc.

Inventor： Christopher Magee Greenwood ,  Gary Michael Herndon, Jr. ,  Surya Prakash Dhoolam ,  Mitchell Gannon Flaherty

IPC: G06F3/06

Abstract: The allocation of resources, such as for data storage, can be performed based at least in part upon predicted values for utilization and growth, among other such values. Various features can be used to predict the initial utilization and growth rate for a data volume, and these predicted values can be used to determine where to place the volumes. The features can include, for example, customer usage history, volume type, volume purpose, type of attached virtual machine, and the like. The ability to predict actual usage can enable capacity to be allocated based on an as-needed basis instead of providing large blocks of allocated capacity that would go largely unused. Similar predictions can be used to determine whether and where to migrate data volumes so as to maintain sufficient capacity across a group of resources.

公开(公告)号：US20190179661A1

公开(公告)日：2019-06-13

申请号：US16279980

申请日：2019-02-19

Applicant: Amazon Technologies, Inc.

Inventor： Surya Prakash Dhoolam ,  Mitchell Gannon Flaherty ,  Christopher Magee Greenwood ,  Gary Michael Herndon, JR. ,  Rahul Karnik ,  Sriram Venugopal

IPC: G06F9/455 ,  G06F3/06

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.

公开(公告)号：US20190158422A1

公开(公告)日：2019-05-23

申请号：US16257499

申请日：2019-01-25

Applicant: Amazon Technologies, Inc.

Inventor： Christopher Magee Greenwood ,  Surya Prakash Dhoolam ,  Mitchell Gannon Flaherty ,  Nishant Satya Lakshmikanth

IPC: H04L12/911 ,  H04L12/26

Abstract: A distributed system may implement analyzing resource placement fragmentation for capacity planning. Capacity planning may determine when, where, and how much capacity to implement for a distributed system that hosts resources. Placement constraints for resources may, over time, create fragmentation or stranded capacity which is available yet unusable to host new resources. Analyzing capacity fragmentation across a distributed system may allow a determination of available capacity that is actually available to host additional resources. In some embodiments, future resource placements may be estimated in order to perform capacity fragmentation analysis to determine available capacity.

公开(公告)号：US10216534B1

公开(公告)日：2019-02-26

申请号：US14968354

申请日：2015-12-14

Applicant: Amazon Technologies, Inc.

Inventor： Surya Prakash Dhoolam ,  Mitchell Gannon Flaherty ,  Christopher Magee Greenwood ,  Gary Michael Herndon, Jr. ,  Rahul Karnik ,  Sriram Venugopal

IPC: G06F9/455 ,  G06F3/06

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.