Amazon Technologies, Inc.

Daniel James Hermanson

Ram Cherukuri

Chad Howard Young

John Alexander DiSanti

Anthony James Wilson

Ram Gole

Karl Clifford Bell

Daniel Lee Phelps

Atif Choudhry Rafiq

A distributed hash table ('DHT') is created with partitions that have different sizes. A hash function allocates data to the partitions in the DHT at approximately equal rates. When the data stored on a partition approaches the storage capacity of the partition, the partition is split by adding a new partition to the DHT that has a size that is different than the sizes of the other partitions in the DHT. A portion of the data stored on the split partition is then reallocated to the new partition. A portion of a keyspace previously assigned to the split partition is also allocated to the new partition. Once the keyspace is reallocated, the hash function can allocate data to the new partition in the DHT.

Variable sized partitioning for distributed hash tables

A community of authors, readers and contributors interact with each other through a communication framework. The authors share creative works, such as fictional stories, for consumption by the readers and for commenting by the contributors. The readers may see successive drafts of the work as an author completes and revises the work. The contributors may provide comments or other contributions to assist the author. For example, the contributors may make suggestions about how to change the work or provide supplemental content, such as cover artwork, to the author. The author may recognize publicly contributors who provide helpful comments. The likelihood of an author completing a final draft of a work may be determined based on the author's activities regarding the work. The likelihood of a completed work being popular with readers may also be determined based on user interaction with a draft of the work.

Story development and sharing architecture

Story development and sharing architecture: predictive data

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Daniel James Hermanson