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An Adaptive Document Version Management Scheme

Boualem BenatallahContact Information, Mehregan MahdaviContact Information, Phuong NguyenContact Information, Quan Z. ShengContact Information, Lionel PortContact Information and Bill McIverContact Information

(6)  School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
(7)  School of Information Science and Policy, University at Albany, State University of New York, Albany, New York 12222, USA
Abstract
This paper addresses the design and implementation of an adaptive document version management scheme. Existing schemes typically assume: (i) a priori expectations for how versions will be manipulated and (ii) fixed priorities between storage space usage and average access time. They are not appropriate for all possible applications. We introduce the concept of document version pertinence levels in order to select the best scheme for given requirements (e.g., access patterns, trade-offs between access time and storage space). Pertinence levels can be considered as heuristics to dynamically select the appropriate scheme to improve the effectiveness of version management. We present a testbed for evaluating XML version management schemes.

Contact Information Boualem Benatallah
Email: boualem@cse.unsw.edu.au

Contact Information Mehregan Mahdavi
Email: mehrm@cse.unsw.edu.au

Contact Information Phuong Nguyen
Email: ntp@cse.unsw.edu.au

Contact Information Quan Z. Sheng
Email: qsheng@cse.unsw.edu.au

Contact Information Lionel Port
Email: lionelp@cse.unsw.edu.au

Contact Information Bill McIver
Email: mciver@albany.edu
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