Distributed Database Management Systems,

This book addresses issues related to managing data across a
distributed database system. It is unique because it covers
traditional database theory and current research, explaining the
difficulties in providing a unified user interface and global data
dictionary. The book gives implementers guidance on hiding
discrepancies across systems and creating the illusion of a single
repository for users. It also includes three sample
frameworks--implemented using J2SE with JMS, J2EE, and
Microsoft .Net--that readers can use to learn how to implement
a distributed database management system. IT and development groups
and computer sciences/software engineering graduates will find this
guide invaluable.

Autorentext

Saeed K. Rahimi, PhD, is an associate professor with the
Graduate Program in Software at the University of St. Thomas. He is
also a cofounder of DWSoft Corporation and InfoSpan, two companies
specializing in metadata management for data warehousing. He
had been a database design and implementation consultant, providing
services to the industry and the federal government for over thirty
years. He has spoken in many national and international conferences
and has published many scientific articles. Dr. Rahimi holds a BS
in electrical engineering and a PhD, both in computer science, from
the University of Minnesota.

Frank S. Haug is an adjunct professor with the Graduate
Programs in Software at the University of St. Thomas, where he has
taught graduate courses in software development, distributed
database management systems, and data warehousing. He has over
twenty-five years of experience in academia and industry, working
in areas including software development, database design and
implementation, and network administration to implement projects
across many technology platforms, DDBMS, and programming languages.
Mr. Haug had a BA in mathematics and quantitative methods and
computer science, and an MS in software engineering, both from the
University of St. Thomas.

Zusammenfassung
This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworksimplemented using J2SE with JMS, J2EE, and Microsoft .Netthat readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.

Inhalt
Preface. 1 Introduction.

1.1 Database Concepts.

1.2 DBE Architectural Concepts.

1.3 Archetypical DBE Architectures.

1.4 A New Taxonomy.

1.5 An Example DDBE.

1.6 A Reference DDBE Architecture.

1.7 Transaction Management in Distributed Systems.

1.8 Summary.

1.9 Glossary.

References.

References.

2 Data Distribution Alternatives.

2.1 Design Alternatives.

2.2 Fragmentation.

2.3 Distribution Transparency.

2.4 Impact of Distribution on User Queries.

2.5 A More Complex Example.

2.6 Summary.

2.7 Glossary.

References.

Exercises.

3 Database Control.

3.1 Authentication.

3.2 Access Rights.

3.3 Semantic Integrity Control.

3.4 Distributed Semantic Integrity Control.

3.5 Cost of Semantic Integrity Enforcement.

3.6 Summary.

3.7 Glossary.

References.

Exercises.

4 Query Optimization.

4.1 Sample Database.

4.2 Relational Algebra.

4.3 Computing Relational Algebra Operators.

4.4 Query Processing in Centralized Systems.

4.5 Query Processing in Distributed Systems.

4.6 Summary.

4.7 Glossary.

References.

Exercises.

5 Controlling Concurrency.

5.1 Terminology.

5.2 Multitransaction Processing Systems.

5.3 Centralized DBE Concurrency Control.

5.4 Concurrency Control in Distributed Database Systems.

5.5 Summary.

5.6 Glossary.

References.

Exercises.

6 Deadlock Handling.

6.1 Deadlock Definition.

6.2 Deadlocks in Centralized Systems.

6.3 Deadlocks in Distributed Systems.

6.4 Summary.

6.5 Glossary.

References.

Exercises.

7 Replication Control.

7.1 Replication Control Scenarios.

7.2 Replication Control Algorithms.

7.3 Summary.

7.4 Glossary.

References.

Exercises.

8 Failure and Commit Protocols.

8.1 Terminology.

8.2 Undo/Redo and Database Recovery.

8.3 Transaction States Revisited.

8.4 Database Recovery.

8.5 Other Types of Database Recovery.

8.6 Recovery Based on Redo/Undo Processes.

8.7 The Complete Recovery Algorithm.

8.8 Distributed Commit Protocols.

8.9 Summary.

8.10 Glossary.

References.

Exercises.

9 DDBE Security (Bradley S. Rubini).

9.1 Cryptography.

9.2 Securing Communications.

9.3 Securing Data.

9.4 Architectural Issues.

9.5 A Typical Deployment.

9.6 Summary.

9.7 Glossary.

References.

Exercises.

10 Data Modeling Overview.

10.1 Categorizing MLs and DMs.

10.2 The Conceptual Level of the CLP.

10.3 Conceptual Modeling Language Examples.

10.4 Working With Data Models.

10.5 Using Multiple Types of Modeling.

10.6 Summary.

10.7 Glossary.

References.

Exercises.

11 Logical Data Models.

11.1 The RDM.

11.2 The Network Data Model.

11.3 The Hierarchical Data Model.

11.4 The OODM.

11.5 Summary.

11.6 Glossary.

References.

Exercises.

12 Traditional DDBE Architectures. 12.1 Applying Our Taxonomy to Traditional DDBE Architectures.</p&g...