Abstract: A collaborative data transferring process can combine segments from all known servers and peer-to-peer (P2P) sources simultaneously, regardless of their native protocols. The process uses variable data block size that can be dynamically selected according to sizes provided by sources, e.g., according to the protocol of the source, and can generate hash values or validation codes on the fly so that compliance with validation techniques (if any) of other protocols is not required. The process may be classified as a P2P protocol, although it also contains centralized elements. Machine language implementations and low syntax overhead allow file exchanges over a homogeneous network with high throughput and low bandwidth consumption.

Abstract: A collaborative data transferring process can combine segments from all known servers and peer-to-peer (P2P) sources simultaneously, regardless of their native protocols. The process uses variable data block size that can be dynamically selected according to sizes provided by sources, e.g., according to the protocol of the source, and can generate hash values or validation codes on the fly so that compliance with validation techniques (if any) of other protocols is not required. The process may be classified as a P2P protocol, although it also contains centralized elements. Machine language implementations and low syntax overhead allow file exchanges over a homogeneous network with high throughput and low bandwidth consumption.