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Distributed Data and Structures Records of the International Meetings With the steady growth in the size of collections of data, the task of developing efficient data management systems becomes more and more demanding. Yet distributed computing systems are becoming more readily available and clearly present substantial potential for solving the problems associated with even immense databases. In the constantly expanding net-centric universe, much data is distributed among sites. Structuring this data for accessing, manipulation, and processing is a crucial task that can ultimately affect the integrity and usefulness of the entire system. Application-oriented developers and theoretical researchers have met to begin to define this research field across various application areas including databases, distributed systems, communication networks, and parallel systems. They have begun to assess and characterize the common elements emerging from many different domains, such as AI, GIS, and others, and "visualizing" the field with respect to new computing paradigms such as mobile and wireless computing systems. This series of books presents the results of their research and their ongoing enquiries into these topics. Some of the topics covered: design, implementation, and operation of distributed data structures; efficiency measures for distributed data structures; complexity analysis (lower and upper bounds) for distributed data structures; analysis of distributed structures (distributed token, mutual exclusion, counter); processing and manipulation of distributed data; the connection between communication structure and data maintenance; mobile data maintenance. Orlando, Florida, 30 March 1998 Princeton University, 10-11 May 1999 Aquilla, Italy, June 2000 Paris, France, March 2002 Thessaloniki, Greece, March 2003 Lausanne, Switzerland, July 2004