A Carnegie Mellon University computer scientist says transferring large data files, such as movies and music, over the Internet could be sped up significantly if peer-to-peer (P2P) file-sharing services were configured to share not only identical files, but also similar files.
David G. Andersen, assistant professor of computer science at Carnegie Mellon, and Michael Kaminsky of Intel Research Pittsburgh have designed such a system, called Similarity-Enhanced Transfer (SET). By identifying relevant chunks of files similar to a desired file, SET greatly increases the number of potential sources for downloads. And boosting the number of sources usually translates into faster P2P downloads, Andersen explains. How much SET could speed up downloads varies based on a number of factors, including the size and popularity of a given file. In some cases, SET might speed transfers by just 5 percent; in others, it might make downloads five times faster.
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