E-Book, Englisch, Band 354, 216 Seiten, eBook
Reihe: The Springer International Series in Engineering and Computer Science
Franklin Client Data Caching
1996
ISBN: 978-1-4613-1363-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Foundation for High Performance Object Database Systems
E-Book, Englisch, Band 354, 216 Seiten, eBook
Reihe: The Springer International Series in Engineering and Computer Science
ISBN: 978-1-4613-1363-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
This monograph investigates several fundamental aspects of the emerging generation of database systems. It describes and investigates implementation techniques to provide high performance and scalability while maintaining the transaction semantics, reliability, and availability associated with more traditional database architectures. The common theme of the techniques developed here is the exploitation of client resources through caching-based data replication.
should be a value to anyone interested in the performance and architecture of distributed information systems in general and Object-based Database Management Systems in particular. It provides useful information for designers of such systems, as well as for practitioners who need to understand the inherent tradeoffs among the architectural alternatives in order to evaluate existing systems. Furthermore, many of the issues addressed in this book are relevant to other systems beyond the ODBMS domain. Such systems include shared-disk parallel database systems, distributed file systems, and distributed virtual memory systems. The presentation is suitable for practitioners and advanced students in all of these areas, although a basic understanding of database transaction semantics and techniques is assumed.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Foreword. Preface. 1. Introduction. 2. Client-Server Database Systems. 3. Modeling a Page Server DBMS. 4. Client Cache Consistency. 5. Performance of Cache Consistency Algorithms. 6. Global Memory Management. 7. Local Disk Caching. 8. Towards a Flexible Distributed DBMS Architecture. 9. Conclusions. References. Index.




