Code 42 Software, Inc.

Samuel Schroeder

Peter John Lindquist

Brian Bispala

Matthew Dornquast

Justin Grammens

Christopher Gwinn

Robert Bajorek

Bret McGuire

Thomas (Tony) Lindquist

Colt Covington

Charles Rostance

Jens Knutson

Disclosed in some examples are predictive storage techniques for use in a distributed data system. The predictive storage techniques may be used to manage locally stored elements of a shared data collection, such as the storage of files on nodes of the distributed data system that are limited in local storage space. The predictive storage techniques may achieve a balance between consumption of local resources and timely access of important elements in the shared data collection. For example, the predictive storage techniques may be used for keeping or pre-caching certain items of a collection that are determined as likely to be used in local storage for convenient access, and allowing access the remaining items on request over a network.

Shared file system predictive storage techniques

Disclosed in some examples is a data distribution mechanism for distributing a collection of file system elements across one or more computing devices. The system can include a plurality of nodes implemented on a machine. The data distribution mechanism may be used in connection with data synchronization, sharing, backup, archiving, and versioning operations for a plurality of connected machines on behalf of one or a plurality of users.

System for a distributed file system element collection

Growing community of inventors

Minneapolis, MN, United States of America

Samuel Schroeder