As computing models change, so too do the demands on storage. Distributed and virtualized systems introduce new vulnerabilities, assumptions, and performance requirements on disks...
Kevin R. B. Butler, Stephen E. McLaughlin, Patrick...
Data compression algorithms change frequently, and obsolete decoders do not always run on new hardware and operating systems, threatening the long-term usability of content archiv...
Parallel I/O plays an increasingly important role in today’s data intensive computing applications. While much attention has been paid to parallel read performance, most of this...
u s e s t h e p r i m a r y c o p y r e p l i c a t i o nAbstract technique [1, 26, 27]. In this method, client calls are directed to a single primary server, which communicatesThi...
Barbara Liskov, Robert Gruber, Paul Johnson, Liuba...
The ability to perform permutations of large data sets in place reduces the amount of necessary available disk storage. The simplest way to perform a permutation often is to read ...