Data deduplication has become a popular technology for reducing the amount of storage space necessary for backup and archival data. Content defined chunking (CDC) techniques are well established methods of separating a data stream into variable-size chunks such that duplicate content has a good chance of being discovered irrespective of its position in the data stream. Requirements for CDC incl...

When exposed to a regular stimulus field, for instance, that generated by an artificial grammar, subjects unintentionally learn to respond efficiently to the underlying structure (Miller, 1958; Reber 1967). We explored the hypothesis that the learning process is chunking and that grammatical knowledge is implicitly encoded in a hierarchical network of chunks. We trained subjects on exemplar sen...

Short-term verbal memory is improved when words can be chunked into larger units. Miller (1956) suggested that the capacity of short-term determined by number chunks stored in memory, rather than items or amount information. But how does improvement due to chunking come about, and really chunks? One possibility a form data compression. It allows more information available capacity. An alternati...

Unstructured peer-to-peer network is a prevalent model in current P2P networks. In general, unstructured P2P model divides the sharing file into many chunks. A peer must search the positions before downloads a chunk. Since a peer does not know the global topology of the overlay network and the distributions of the wanted chunks, what he can do is flooding chunk queries without a proper order wh...

We propose Chunks and Tasks, a parallel programming model built on abstractions for both data and work. The application programmer specifies how data and work can be split into smaller pieces, chunks and tasks, respectively. The Chunks and Tasks library maps the chunks and tasks to physical resources. In this way we seek to combine user friendliness with high performance. An application program...