An adaptive document version management scheme

  • Authors:

  • Boualem Benatallah;Mehregan Mahdavi;Phuong Nguyen;Quan Z. Sheng;Lionel Port;Bill McIver

  • Affiliations:

  • School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia;School of Information Science and Policy, University at Albany, State University of New York, Albany, New York

  • Venue:
  • CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

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.