ENGLISH

Distributed Database Systems

By Chhanda Ray

Book information

Publisher
Pearson Education
Year
2009
ISBN
9788131727188
Language
english
Format
PDF
Filesize
2 MB (1750787 bytes)
Pages
\325
Time added
2020-04-08 23:59:33

Description

Cover Distributed Database Systems Copyright Contents Preface Overview of Relational1 DBMS Concepts of Relational Databases Integrity Constraints Normalization Functional Dependencies Normal Forms Relational Algebra Selection Operation Projection Operation Union Operation Set Difference Operation Cartesian Product Operation Intersection Operation Join Operation Division Operation Relational Database Management System Chapter Summary Exercises Review of Database Systems Evolution of Distributed Database System Overview of Parallel Processing System Parallel Databases Benefits of Parallel Databases Parallel Database Architectures Parallel Database Design Data Partitioning Chapter Summary Exercises Distributed Database Concepts Fundamentals of Distributed Databases Features of a Distributed DBMS Advantages and Disadvantages of Distributed An Example of Distributed Homogeneous and Heterogeneous Distributed Functions of Distributed Components of a Distributed Date’s 12 Objectives for Distributed Database Systems Chapter Summary Exercises Overview of Computer Networking Introduction to Networking Types of Computer Networks Communication Schemes Network Topologies The OSI Model Network Protocols TCP/IP SPX/IPX NetBIOS APPC DEC net Apple Talk WAP The Internet and the World-Wide Web Chapter Summary Exercises Distributed Database Design Distributed Database Design Concepts Alternative Approaches for Distributed Database Design Objectives of Data Distribution Alternative Strategies for Data Allocation Data Fragmentation Benefits of Data Fragmentation Correctness Rules for Data Fragmentation Different Types of Fragmentation The Allocation of Fragments Measure of Costs and Benefits for Fragment Allocation Transparencies in Distributed Database Design Data Distribution Transparency Transaction Transparency Performance Transparency DBMS Transparency Chapter Summary Exercises Distributed DBMS Architecture Introduction Client/Server System Advantages and Disadvantages of Client/Server System Architecture of Client/Server Distributed Systems Architectural Alternatives for Client/Server Systems Peer-to-Peer Distributed System Reference Architecture of Distributed DBMSs Component Architecture of Distributed DBMSs Distributed Data Independence Multi-Database System Five-Level Schema Architecture of federated MDBS Chapter Summary Exercises Distributed Transaction Management Basic Concepts of Transaction Management ACID Properties of Transactions Objectives of Distributed Transaction Management A Model for Transaction Management in a Distributed System Classification of Transactions Chapter Summary Exercises Distributed Concurrency Control Objectives of Distributed Concurrency Control Concurrency Control Anomalies Distributed Serializability Classification of Concurrency Control Techniques Locking-based Concurrency Control Protocols Centralized 2PL Primary Copy 2PL Distributed 2PL Majority Locking Protocol Biased Protocol Quorum Consensus Protocol Timestamp-Based Concurrency Control Protocols Basic Timestamp Ordering Algorithm Conservative to Algorithm Multi-version to Algorithm Optimistic Concurrency Control Technique Chapter Summary Exercises Distributed Deadlock Management Introduction to Deadlock Distributed Deadlock Prevention Distributed Deadlock Avoidance Distributed Deadlock Detection and Recovery Centralized Deadlock Detection Hierarchical Deadlock Detection Distributed Deadlock Detection False Deadlocks Chapter Summary Exercises Distributed Recovery Management Introduction to Recovery Management Failures in a Distributed Database System Steps Followed after a Failure Local Recovery Protocols Immediate Modification Technique Shadow Paging Checkpointing and Cold Restart Distributed Recovery Protocols Two-Phase Commit Protocol Three-Phase Commit Protocol Network Partition Pessimistic Protocols Optimistic Protocols Chapter Summary Exercises Distributed Query Processing Concepts of Query Processing Objectives of Distributed Query Processing Phases in Distributed Query Processing Query Decomposition Query Fragmentation Global Query Optimization Join Strategies in Fragmented Relations Simple Join Strategy Semijoin Strategy Global Query Optimization Algorithms Distributed INGRES Algorithm Distributed R* Algorithm SDD-1 Algorithm Chapter Summary Exercises Distributed Database Security and Catalog Management Distributed Database Security View Management View Updatability Views in Distributed DBMS Authorization and Protection Centralized Authorization Control Distributed Authorization Control Semantic Integrity Constraints Global System Catalog Contents of Global System Catalog Catalog Management in Distributed Systems Chapter Summary Exercises Mobile Databases and Object-Oriented DBMS Mobile Databases Mobile DBMS Introduction to Object-Oriented Databases Object-Oriented Database Management Systems Features of OODBMS Benefits of OODBMS Disadvantages of OODBMS Chapter Summary Exercises Distributed Database Systems SDD-1 Distributed Database System General Architecture of SDD-1 Database System Distributed Concurrency Control in SDD-1 Distributed Query Processing in SDD-1 Distributed Reliability and Transaction Commitment in SDD-1 R* Distributed Database System Architecture of R* Query Processing in R* Transaction Management in R* The Presumed Abort Protocol The Presumed Commit Protocol Chapter Summary Exercises Data Warehousing and Data Mining Concepts of Data Warehousing Benefits of Data warehousing Problems in Data Warehousing Data Warehouses and OLTP Systems Data Warehousing Architecture Operational Data Source Load Manager Query Manager Warehouse Manager Detailed Data Summarized Data Archive/Backup Data Metadata End-User Access Tools Data Warehouse Background Processes Data Warehouse Schema Star Schema Snowflake Schema Fact Constellation Schema Data Marts Online Analytical Processing OLAP Tools Introduction to Data Mining Knowledge Discovery in Database Vs. Data Mining Data Mining Techniques Predictive Modeling Clustering Link Analysis Chapter Summary Exercises Appendix Bibliography Index

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