Data sets in large applications such as databases and data-mining applications are often too large to fit into a computer's internal memory. The resulting I/O (input/output) communications between internal memory and the slower external medium (such as disks) can present a major performance bottleneck. cluster computing platforms, which are collections of non-dedicated systems (for example, PCs) based on low-cost hardware, and these present themselves as affordable and suitable I/O systems. that will assist potential new ...
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Data sets in large applications such as databases and data-mining applications are often too large to fit into a computer's internal memory. The resulting I/O (input/output) communications between internal memory and the slower external medium (such as disks) can present a major performance bottleneck. cluster computing platforms, which are collections of non-dedicated systems (for example, PCs) based on low-cost hardware, and these present themselves as affordable and suitable I/O systems. that will assist potential new users and more experienced users in havng a greater understanding of the subject of I/O management. The first part of this book introduces selected topics and a number of effective solutions in different sub-topics of the field. The second part presents five research studies contributed by specialist researchers in the field, located mainly in Europe and the USA.
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Add this copy of Parallel I/O for Cluster Computing (Innovative to cart. $118.45, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2004 by Kogan Page Science.
