Putting the squeeze on data

Monday, December 21, 2009 - 05:21 in Mathematics & Economics

Data compression is one of the fundamental research areas in computer science, letting information systems do more with less. It’s the reason the iPod nano can hold thousands of songs instead of hundreds, and it’s what keeps transmitted images from choking the Internet. If every digital file is a string of bits — zeroes and ones — then compression is a way to represent the same information with fewer bits.Most compression techniques trade space for time: while the compressed file takes up less memory, it has to be decoded before its contents are intelligible. In applications where memory is in short supply but data needs constant updating, it can be prohibitively time consuming to keep decompressing a file, modifying it, and then recompressing it. As a result, such applications — monitoring Internet traffic, for instance, or looking for patterns in huge collections of scientific data — often use a type...

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