Amazon Technologies, Inc.

Google Inc.

David Nolan Sunderland

Tate Andrew Certain

James Robert Hamilton

Danny Wei

Sachin Jain

Fiorenzo Cattaneo

Matthew Scott Garman

Roland Paterson-Jones

Brian Patrick Williams

Andrew Miller

Harlan Hile

Hannah Tang

Customers of a shared-resource environment can provision resources in a fine-grained manner that meets specific performance requirements. A customer can provision a data volume with a committed rate of Input/Output Operations Per Second (IOPS) and pay only for that commitment (plus any overage), and the amount of storage requested. The customer will then at any time be able to complete at least the committed rate of IOPS. If the customer generates submissions at a rate that exceeds the committed rate, the resource can still process at the higher rate when the system is not under pressure. Even under pressure, the system will deliver at least the committed rate. Multiple customers can be provisioned on the same resource, and more than one customer can have a committed rate on that resource. Customers without committed or guaranteed rates can utilize the uncommitted portion, or committed portions that are not being used.

Committed processing rates for shared resources

Commitments against various resources can be dynamically adjusted for customers in a shared-resource environment. A customer can provision a data volume with a committed rate of Input/Output Operations Per Second (IOPS) and pay only for that commitment (plus any overage), for example, as well as the amount of storage requested. The customer can subsequently adjust the committed rate of IOPS by submitting an appropriate request, or the rate can be adjusted automatically based on any of a number of criteria. Data volumes for the customer can be migrated, split, or combined in order to provide the adjusted rate. The interaction of the customer with the data volume does not need to change, independent of adjustments in rate or changes in the data volume, other than the rate at which requests are processed.

Managing committed request rates for shared resources

Managing committed processing rates for shared resources

An indexed list of vertices is generated to represent a polygon. The indexed list is ordered so as to define one or more boundaries of a polygon, where each element in the indexed list of vertices specifies respective coordinates in an at least two-dimensional space. A description of several component shapes that make up the polygon is generated, where the description includes indices into the indexed list of vertices. The indexed list of vertices and the description of the component shapes are provided to a computing device for rendering the polygon.

Encoding polygon data for fast retrieval and rendering

Techniques, including systems and methods, for capturing data sets include performing a client-side two-phase commit to ensure one or more data consistency conditions. A logical volume may represent a data set that is distributed among a plurality of physical storage devices. One or more client devices are instructed to block at least acknowledgment of write operations. When the one or more client devices have blocked at least acknowledgment of write operations, one or more servers in communication with the physical storage devices are instructed to capture corresponding portions of the data set. When the servers have been instructed to capture corresponding portions of the data set, the client devices are instructed to resume at least acknowledgment of write operations.

Techniques for capturing data sets

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Seattle, WA, United States of America

David Nolan Sunderland