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A Tool for Supporting the Teaching of Parallel Database Systems.

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Title: A Tool for Supporting the Teaching of Parallel Database Systems.
Authors: Dempster, Euan, Howard Williams, M., Burger, Albert, Taylor, Hamish
Source: IEEE Transactions on Education. May2005, Vol. 48 Issue 2, p238-247. 10p.
Subjects: ELECTRONIC systems, VISUAL programming languages (Computer science), DATABASES, VISUAL perception, TEACHING, EDUCATION
Abstract: Parallel database systems are complex entities. When teaching about these systems as part of a course in a limited time, one has difficulty providing useful practical experience that gives a deep insight into system behavior and operation. This paper describes a tool for performance prediction that has been developed to aid the visualization of parallel database systems and that is currently being used to support teaching. The tool enables students to experiment with different hardware and software configurations and to view the effects of changes on the performance of the system. The tool provides insight into how data can be placed among the nodes of a parallel machine according to predefined strategies, as well as manually, and provides feedback on the effect of these on throughput and response time. This tool is able to provide a good appreciation of the concepts in a relatively short period of time. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Education is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Teacher Reference Center
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  Data: Parallel database systems are complex entities. When teaching about these systems as part of a course in a limited time, one has difficulty providing useful practical experience that gives a deep insight into system behavior and operation. This paper describes a tool for performance prediction that has been developed to aid the visualization of parallel database systems and that is currently being used to support teaching. The tool enables students to experiment with different hardware and software configurations and to view the effects of changes on the performance of the system. The tool provides insight into how data can be placed among the nodes of a parallel machine according to predefined strategies, as well as manually, and provides feedback on the effect of these on throughput and response time. This tool is able to provide a good appreciation of the concepts in a relatively short period of time. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IEEE Transactions on Education is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/TE.2004.842895
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