Abstract: An electric snowmobile, has: a frame; a drive track assembly having a drive track and a sprocket; an electric motor mounted to the frame; and a transmission mounted to the frame, the transmission drivingly engaging the electric motor to the drive track, the transmission having an input drivingly engaged by the electric motor and an output drivingly engaging the sprocket, the transmission having a speed ratio defined as a rotational speed of the input to a rotational speed of the output, and wherein one or more of: a rotor-to-sprocket ratio ranging from 0.65 to 1.30, a rotor-to-transmission ratio ranging from 52 mm to 180 mm, a stator-to-sprocket ratio ranging from 0.20 to 0.58, and a rotor size-to-sprocket ratio ranging from 25 mm to 105 mm.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.