Abstract: Systems and methods for delivering timely personalized information about vulnerable persons to authorities and/or to caregivers. This may provide critical situational information in real or near real time to authorities and/or to caregivers in order to help increase public safety, reduce risks and/or improve the quality of life for vulnerable persons and parties responsible for the safety and well-being of the vulnerable persons.

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: Node-to-Node data distribution is described herein. A node may receive a set of peer nodes from a collection authority node that is managing a collection. The node and the set of peer nodes are members of the collection. The node may select a subset of peer nodes from the set of peer nodes. The node may attempt to establish communications with each of the subset of peer nodes, connected peers being those peers where the attempt was successful. The node may synchronize an event stream with each connected peer.

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.