Abstract: This disclosure is related to systems, devices, and methods of adaptive replication. Adaptive replication can allow a node in a network to optimally determine where, when, and how to retrieve data from other nodes in the network. For example, adaptive replication may include receiving a notification corresponding to data at a first node in the network and selecting a node of multiple nodes in the network to retrieve the data from. The first node may retrieve the data from any node within the network that has the data. In some embodiments, a node may add delays or select where to retrieve data from based on a priority, a bandwidth, or other factors.

Abstract: This disclosure is related to systems, devices, and methods of adaptive replication. Adaptive replication can allow a node in a network to optimally determine where, when, and how to retrieve data from other nodes in the network. For example, adaptive replication may include receiving a notification corresponding to data at a first node in the network and selecting a node of multiple nodes in the network to retrieve the data from. The first node may retrieve the data from any node within the network that has the data. In some embodiments, a node may add delays or select where to retrieve data from based on a priority, a bandwidth, or other factors.

Abstract: The disclosure is related to systems and methods of local differential compression. Local differential compression can allow a computer to transfer data efficiently over a limited or restricted bandwidth network. For example, a first computer can be adapted to synchronize a data object between the first computer and a second computer by: determining a list of portions of a data object to synchronize and sending the list to the second computer. When the second computer has received the list, the second computer may build the data object based on the list, data retrieved corresponding to the list, and other data already existing at the second computer.