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By Tianxiao Liu, Tuyêt Trâm Dang Ngoc, Dominique Laurent (auth.), Kevin Chen-Chuan Chang, Wei Wang, Lei Chen, Clarence A. Ellis, Ching-Hsien Hsu, Ah Chung Tsoi, Haixun Wang (eds.)

This ebook constitutes the refereed mixed court cases of 4 foreign workshops held together with the joint ninth Asia-Pacific net convention, APWeb 2007, and the eighth foreign convention on Web-Age info administration, WAIM 2007, held in Huang Shan, China in June 2007.

The 50 revised complete papers and 25 revised brief papers provided including the summary of 1 keynote speak have been conscientiously reviewed and chosen from a complete of 266 submissions. The papers of the 4 workshops are very particular and give a contribution to enlarging the spectrum of the extra basic issues taken care of within the APWeb 2007 and WAIM 2007 major meetings. subject matters addressed by means of the workshops are: Database administration and alertness over Networks (DBMAN 2007), rising tendencies of internet applied sciences and purposes (WebETrends 2007), strategy conscious info structures (PAIS 2007), and alertness and safety carrier in net and Pervasive Environments (ASWAN 2007).

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Additional info for Advances in Web and Network Technologies, and Information Management: APWeb/WAIM 2007 International Workshops: DBMAN 2007, WebETrends 2007, PAIS 2007 and ASWAN 2007, Huang Shan, China, June 16-18, 2007. Proceedings

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A heuristic approach to vertical fragmentation incorporating query information. In: Baltic Conference on Databases and Information Systems, pp. 69–76 (2006) 24 S. Hartmann, H. -D. : A heuristic approach to cost-efficient fragmentation and allocation of complex value databases. In: ADC, pp. : Distribution Design for Higher-Order Data Models. Data. : Containment and equivalence for a fragment of XPath. J. : A formal approach to the vertical partitioning problem in distributed database design. In: International Conference on Parallel and Distributed Information Systems, pp.

Schewe Table 1. Algorithm for Vertical Fragmentation QM = {Q1 , . . , Qm } /* a set of queries elem(e) = {e1 , . . , en } /*a set of all the leaf nodes of e RP (e) = {rp1 , . . , rpn } /*a set of rooted label path of all leaf nodes a set of network nodes N = {1, . . , k} the EUFM of e Output: fragmentation and fragment allocation schema {eV 1 , . . , eV k } Method: for each θ ∈ {1, . . , k} let elem(eV θ ) = ∅ endfor for each element ei ∈ elem(e), 1 ≤ i ≤ n do for each node θ ∈ {1, . . , k} do calculate requestθ (ei ) endfor for each node θ ∈ {1, .

For that, we suggest to estimate the sizes of intermediate results for all intermediate nodes in the query tree. , the operation associated with the predecessor in the query tree, and the costs for the transportation of data between nodes. Afterwards, we present a cost model for measuring system performance. Size Estimation. We first approach an estimation of the sizes intermediate query results. In order to do so, we first look at elements and attributes defined in the XML schema. Then, if r is the root element, the estimated size s(r) is the size estimated for the entire document rooted at r.

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