Abstract: Transaction scheduling is described for a user data cache by assessing update criteria. In one example an event records memory stores a list of events each corresponding to performance of a transaction at a remote resource for a user. The memory has criteria for each event and a criterion value for each criterion and event combination. An event manager assesses criteria for each event by performing an operation on the stored criterion value for each criterion and event combination, assigning a score for each criterion and event combination, and compiling the assigned scores to generate a composite score for each event. The events are ordered based on the respective composite scores and executed in the ordered sequence by performing a corresponding transaction at remote resource. Updated criterion values are stored for executed events.

Abstract: Transaction scheduling is described for a user data cache by assessing update criteria. In one example an event records memory stores a list of events each corresponding to performance of a transaction at a remote resource for a user. The memory has criteria for each event and a criterion value for each criterion and event combination. An event manager assesses criteria for each event by performing an operation on the stored criterion value for each criterion and event combination, assigning a score for each criterion and event combination, and compiling the assigned scores to generate a composite score for each event. The events are ordered based on the respective composite scores and executed in the ordered sequence by performing a corresponding transaction at remote resource. Updated criterion values are stored for executed events.

Abstract: Transaction scheduling is described for a user data cache by assessing update criteria. In one example an event records memory stores a list of events each corresponding to performance of a transaction at a remote resource for a user. The memory has criteria for each event and a criterion value for each criterion and event combination. An event manager assesses criteria for each event by performing an operation on the stored criterion value for each criterion and event combination, assigning a score for each criterion and event combination, and compiling the assigned scores to generate a composite score for each event. The events are ordered based on the respective composite scores and executed in the ordered sequence by performing a corresponding transaction at remote resource. Updated criterion values are stored for executed events.

Abstract: Transaction scheduling is described for a user data cache by assessing update criteria. In one example an event records memory stores a list of events each corresponding to performance of a transaction at a remote resource for a user. The memory has criteria for each event and a criterion value for each criterion and event combination. An event manager assesses criteria for each event by performing an operation on the stored criterion value for each criterion and event combination, assigning a score for each criterion and event combination, and compiling the assigned scores to generate a composite score for each event. The events are ordered based on the respective composite scores and executed in the ordered sequence by performing a corresponding transaction at remote resource. Updated criterion values are stored for executed events.

Abstract: Systems and methods for synchronizing data between endpoints using elements of centralized and decentralized synchronization systems and communication topologies are disclosed. Such systems and methods may in some cases synchronize some subset of data with a centralized endpoint while another subset of data is synchronized in a decentralized fashion directly with other endpoints. Such systems and methods may include a variety of cooperative functionality to assist in the synchronization of data between endpoints.

Abstract: Systems and methods for synchronizing data between endpoints using elements of centralized and decentralized synchronization systems and communication topologies are disclosed. Such systems and methods may in some cases synchronize some subset of data with a centralized endpoint while another subset of data is synchronized in a decentralized fashion directly with other endpoints. Such systems and methods may include a variety of cooperative functionality to assist in the synchronization of data between endpoints.

Abstract: Systems and methods for synchronizing data between endpoints using elements of centralized and decentralized synchronization systems and communication topologies are disclosed. Such systems and methods may in some cases synchronize some subset of data with a centralized endpoint while another subset of data is synchronized in a decentralized fashion directly with other endpoints. Such systems and methods may include a variety of cooperative functionality to assist in the synchronization of data between endpoints.

Abstract: One or more techniques and/or systems are disclosed for providing platform agnostic synchronization for a custom functionality attribute of a file in a distributed data management system. An application and/or device may create or utilize a custom functionality attribute for a file in the distributed data management system. A custom attribute field, comprising data representative of the custom functionality attribute, can be attached to the file, such as with other metadata for the file. The custom attribute field can be stored with the file in the distributed data management system, and can remain unchanged and be synchronized with the file when the file is touched by a device on the distributed data management system.

Abstract: Systems and methods for synchronizing data between endpoints, including the modification of data on an endpoint without necessarily modifying data that is communicated between endpoints are disclosed. In such systems and methods the representation of data on an endpoint may be modified so that constraints on that particular endpoint are enforced, without requiring a similar or the same modification to the data when it is synchronized to other endpoints.

Abstract: Systems and methods for synchronizing data between endpoints, including the modification of data on an endpoint without necessarily modifying data that is communicated between endpoints are disclosed. In such systems and methods the representation of data on an endpoint may be modified so that constraints on that particular endpoint are enforced, without requiring a similar or the same modification to the data when it is synchronized to other endpoints.

Abstract: Generally, the described system and process enables resolution of conflicts in a synchronized folder. Within the described mesh operating environment, each of the devices may be configured to do the same processing so that the file system view of the synchronized folder looks the same on all devices (pending local capabilities). Updates that cannot be immediately realized to the local store due to conflicts may be deferred for later attempts when, for example, additional updates at the system level or local level are made to resolve or eliminate the conflict for the update item. Generally, further changes may be propagated by a user in addressing a particular conflict that the user is notified about (e.g., via a selected winner that the user disagrees with). Alternatively, the conflict may resolve itself when a further update occurs that overrides or renders moot the previous update (e.g., a deleted item having a modified enclosure, where the enclosure had a previous concurrency conflict).

Abstract: Systems and methods for synchronizing data between endpoints, including the modification of data on an endpoint without necessarily modifying data that is communicated between endpoints are disclosed. In such systems and methods the representation of data on an endpoint may be modified so that constraints on that particular endpoint are enforced, without requiring a similar or the same modification to the data when it is synchronized to other endpoints.

Abstract: Systems and methods for synchronizing data between endpoints, including the modification of data on an endpoint without necessarily modifying data that is communicated between endpoints are disclosed. In such systems and methods the representation of data on an endpoint may be modified so that constraints on that particular endpoint are enforced, without requiring a similar or the same modification to the data when it is synchronized to other endpoints.

Abstract: Systems and methods for synchronizing data between endpoints, including the modification of data on an endpoint without necessarily modifying data that is communicated between endpoints are disclosed. In such systems and methods the representation of data on an endpoint may be modified so that constraints on that particular endpoint are enforced, without requiring a similar or the same modification to the data when it is synchronized to other endpoints.

Abstract: Generally, the described system and process enables resolution of conflicts in a synchronized folder. Within the described mesh operating environment, each of the devices may be configured to do the same processing so that the file system view of the synchronized folder looks the same on all devices (pending local capabilities). Updates that cannot be immediately realized to the local store due to conflicts may be deferred for later attempts when, for example, additional updates at the system level or local level are made to resolve or eliminate the conflict for the update item. Generally, further changes may be propagated by a user in addressing a particular conflict that the user is notified about (e.g., via a selected winner that the user disagrees with). Alternatively, the conflict may resolve itself when a further update occurs that overrides or renders moot the previous update (e.g., a deleted item having a modified enclosure, where the enclosure had a previous concurrency conflict).

Abstract: Systems and methods for synchronizing data between endpoints using elements of centralized and decentralized synchronization systems and communication topologies are disclosed. Such systems and methods may in some cases synchronize some subset of data with a centralized endpoint while another subset of data is synchronized in a decentralized fashion directly with other endpoints. Such systems and methods may include a variety of cooperative functionality to assist in the synchronization of data between endpoints.

Abstract: Systems and methods for synchronizing data between endpoints, including the modification of data on an endpoint without necessarily modifying data that is communicated between endpoints are disclosed. In such systems and methods the representation of data on an endpoint may be modified so that constraints on that particular endpoint are enforced, without requiring a similar or the same modification to the data when it is synchronized to other endpoints.