Werner Dubitzky's Data Mining in Grid Computing Environments PDF

By Werner Dubitzky

ISBN-10: 047051258X

ISBN-13: 9780470512586

Established round 11 foreign actual existence case reports and together with contributions from major specialists within the box this groundbreaking ebook explores the necessity for the grid-enabling of information mining functions and gives a entire learn of the know-how, thoughts and administration abilities essential to create them. This booklet offers a simultaneous layout blueprint, consumer consultant, and examine time table for present and destiny advancements and may attract a wide viewers; from builders and clients of knowledge mining and grid expertise, to complex undergraduate and postgraduate scholars attracted to this box.

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Additional info for Data Mining in Grid Computing Environments

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A data mining grid should facilitate the seamless adding of grid resources to accommodate increasing numbers of users and growing application demands without performance loss. r Scope. ) r Ease of use. A data mining grid should hide grid details from users who do not want to concern themselves with such details, but be flexible enough to facilitate deep, grid-level control to those users wish to operate on this level. Furthermore, mechanisms should be provided by a data mining grid that allow users to search for grid-wide located data mining applications and data sources.

One of the most recent incarnations of large-scale distributed computing technologies is grid computing (Kesselman and Foster, 1998). The aim of grid computing is to provide an affordable approach to large-scale computing problems. The term grid can be defined as a set of computational resources interconnected through a WAN, aimed at performing highly demanding computational tasks such as grand challenge applications. A grid makes it possible to securely and reliably take advantage of widely dispersed computational resources across several organizations and administrative domains.

R A grid system is able to adapt to unexpected failures or loss of resources. r A grid environment never becomes obsolete as it may easily assimilate new resources (perhaps as a replacement for older resources) and be adapted to provide new features. r Provide an attractive cost/performance ratio making high-performance computing affordable. Current grids are designed so as to serve a certain purpose or community. Typical grid configurations (or types of grid) include the following. r Computing (or computational) grid.

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Data Mining in Grid Computing Environments by Werner Dubitzky


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