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Managing data in a mobile computing environment invariably involves caching or replication. In many cases, a mobile device has access only to data that is stored locally, and much of that data arrives via replication from other devices, PCs, and services. Given portable devices with limited resources, weak or intermittent connectivity, and security vulnerabilities, data replication serves to increase availability, reduce communication costs, foster sharing, and enhance survivability of critical information. Mobile systems have employed a variety of distributed architectures from client–server caching to peer-to-peer replication. Such systems generally provide weak consistency models in which read and update operations can be performed at any replica without coordination with other devices. The design of a replication protocol then centers on issues of how to record, propagate, order, and filter updates. Some protocols utilize operation logs, whereas others replicate state. Systems might provide best-effort delivery, using gossip protocols or multicast, or guarantee eventual consistency for arbitrary communication patterns, using recently developed pairwise, knowledge-driven protocols. Additionally, systems must detect and resolve the conflicts that arise from concurrent updates using techniques ranging from version vectors to read–write dependency checks. This lecture explores the choices faced in designing a replication protocol, with particular emphasis on meeting the needs of mobile applications. It presents the inherent trade-offs and implicit assumptions in alternative designs. The discussion is grounded by including case studies of research and commercial systems including Coda, Ficus, Bayou, Sybase’s iAnywhere, and Microsoft’s Sync Framework. Table of Contents: Introduction / System Models / Data Consistency / Replicated Data Protocols / Partial Replication / Conflict Management / Case Studies / Conclusions / Bibliography
With the rapid growth of computer and communication technologies, the creation, modification and distribution of digital multimedia information have become easier than ever. Such multimedia information includes still images, video, audio, texts and artifacts in virtual space. The efficient storage of valuable information and rapid access to it is crucial to all modern organizations.This proceedings volume consists of papers by researchers and academicians which explore the various aspects of the digital media information base. A special emphasis is placed on new database system technologies.
The papers published here highlight the contributions of leading researchers in the field who are working with object-oriented technology, theory and practice. Among the topics to be covered are: object-relational data technology; distributed object computing; patterns and frameworks; concepts and methodologies; multimedia systems; object-0riented metrics; object reuse; object ontologies; business process re-design; knowledge management; object database management systems; and interoperability issues. Areas of significant interest to industry, especially in providing innovative directions for the development of next generation systems, are also covered.
Modern computing management systems and application programs are often de signed as open systems. In an open environment, the users' application programs serving similar purposes, though possibly implemented using different hardware or software tech nologies, can interact easily and properly with one other. But, it is a big challenge in research and development to provide the means for integrating these technologies and reengineering the new or existing management systems so as to make all of the relevant components interoperable. In case of databases, because of the variety in data models and theory, the interoper ability and reengineering issues become even more complex and crucial, especially for companies heavily involved in data management. With the rapid advances in networking and database modeling technology, old issues may have to be reinvestigated and new issues come up constantly. It is our hope that this year's workshop, the sixth in a series of annual events, can provide a timely forum for database researchers and practitioners to share their recent experience and results in various aspects of this fast -developing field. This series of workshops has been organized by the Hong Kong Computer Society and financially supported by many local industrial and business companies. This year, the Cooperative Research Centre for Open Systems Technology, located in the Department of Computer Science, City University of Hong Kong, has joined the organization team and the list of financial sponsors.
Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction covers the complete process of analyzing data to extract, transform, load, and manage the essential components of a data warehousing system. A defining collection of field discoveries, this advanced title provides significant industry solutions for those involved in this distinct research community.
This book constitutes the refereed proceedings of the 20th International Symposium on Distributed Computing, DISC 2006. The book presents 35 revised full papers together with 1 invited paper and 13 announcements of ongoing works, all carefully selected for inclusion in the book. The entire scope of current issues in distributed computing is addressed, ranging from foundational and theoretical topics to algorithms and systems issues and to applications in various fields.
This proceedings volume contains 52 technical research papers on multidatabases, distributed DB, multimedia DB, object-oriented DB, real-time DB, temporal DB, deductive DB, and intelligent user interface. Some industrial papers are also included.