Advances in Web-Age Information Management: 6th by Peter Buneman (auth.), Wenfei Fan, Zhaohui Wu, Jun Yang

By Peter Buneman (auth.), Wenfei Fan, Zhaohui Wu, Jun Yang (eds.)

This e-book constitutes the refereed complaints of the sixth overseas convention on Web-Age details administration, WAIM 2005, held in Hangzhou, China, in October 2005.

The forty eight revised complete papers, 50 revised brief papers and four business papers provided including three invited contributions have been conscientiously reviewed and chosen from 486 submissions. The papers are equipped in topical sections on XML, functionality and question review, facts mining, semantic net and net ontology, information administration, details structures, net companies and workflow, information grid and database languages, agent and cellular info, database program and transaction administration, and three sections with commercial, brief, and demonstration papers.

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Extra info for Advances in Web-Age Information Management: 6th International Conference, WAIM 2005, Hangzhou, China, October 11 – 13, 2005. Proceedings

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In most other cases, a Beowulf cluster [34], with faster network connections than WANs, is a more inexpensive choice. For 1 US$ one can get 1 GB sent over the WAN, or 10 Tops teraCPU instructions, or 8 hours of CPU time, or 1 GB disk space, or 10 M database accesses, or 10 TB of disk bandwidth. It is fine to send a Gbyte of data over the network if it saves years of computation. But it is not economic to send a Kbyte question if the answer could be computed locally in a second. On-Demand computing is only economical for very CPU-intensive applications: about a CPU-day per Gbyte of network traffic.

For 1 US$ one can get 1 GB sent over the WAN, or 10 Tops teraCPU instructions, or 8 hours of CPU time, or 1 GB disk space, or 10 M database accesses, or 10 TB of disk bandwidth. It is fine to send a Gbyte of data over the network if it saves years of computation. But it is not economic to send a Kbyte question if the answer could be computed locally in a second. On-Demand computing is only economical for very CPU-intensive applications: about a CPU-day per Gbyte of network traffic. Challenge 10: Management and administration of grid is the most challenged one All above challenges are technical issues for grid computing.

T. Erl, Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services, Prentice Hall PTR, 2004. 11. D. 5 on the hype meter”, Tech Update, May 15, 2002. 12. org. 13. org. 14. I. Foster and C. 115-128, 1997. 15. I. Foster and C. ), The Grid 2: Blueprint for a New Computing Infrastructure, Morgan Kaufmann Publishers, 2003. 16. I. Foster, C. Kesselman, G. Tsudik, and S. 83-92, 1998. 17. I. Foster, C. Kesselman, and S. Tuecke, “The Anatomy of the Grid: Enabling Scalable Virtual Organizations”, International Journal of High Performance Computing Applications, 15 (3), 200-222, 2001.

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