Amazon Technologies, Inc.

Tianxing Dun

Sameer Choudhary

Vishwas Narendra

Nikhil Shah

Tyler Michael Jung

Bryan T Wilkinson

Slavcho Georgiev Slavchev

Ozan Okumusoglu

Alexander Koshelev

Systems and methods are provided for using request rate data to determine when and how to split storage partitions in a distributed storage system. Data objects in a given partition are stored and managed using a set of computing resources, such as caches, a witness service, and persistent storage nodes. When the request rate for the partition is too great, then the partition may be split in order to distribute the request load over two sets of computing resources. Some requests that would be able to be handled by the cache are passed through to the persistent storage nodes, which can track the requests at a granular level. Based on this data, specific partition splitting decisions can be made.

Data item and witness service partitioning in a distributed storage system

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Seattle, WA, United States of America

Tianxing Dun