Fr. 180.00

Grid Database Design

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane (non disponibile a breve termine)

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Informationen zum Autor April J. Wells Klappentext Grid Database Design investigates the origin! background! and components of this new computing model. This book presents new concepts and analyzes pre-existing ideas in the context of Grid! educating organizations as to how Grid can increase their computing power and strengthen their operations. Divided into three sections! the volume begins by laying the groundwork in the field! defining the concepts that led to the model's emergence. The second section explains what is entailed in building a Grid! focusing on security! hardware! and the forces driving growth. The final section explores details of databases in a Grid environment! illustrating how the Grid environment will shape database evolution. Grid Database Design reveals what will be coming in the near future! allowing database and systems administrators! programmers! and executives to get beyond the rumblings about this up-and-coming model and learn what Grid can offer to benefit their organizations. Zusammenfassung Investigates the origin, background, and components of Grid, a computing model. This book presents various concepts and analyzes various ideas in the context of Grid, educating organizations as to how Grid can increase their computing power and strengthen their operations. It helps to learn what Grid can offer to benefit their organizations. Inhaltsverzeichnis IN THE BEGINNINGHistoryComputing Early Mechanical Devices Computing Machines The 1960s The 1970s The 1980s The 1990s The 21st Century Definition and Components P2P Types Grid Scope Early Adopters Computational and Experimental Scientists Bioinformatics Corporations Academia Science Industries Benefits THE PARTS AND PIECESSecuritySecurityDatabase Security The Hardware Computers Storage I/O Subsystems Underlying Network Operating Systems Visualization Environments People Metadata Grid Metadata Data Metadata Application Metadata External Metadata Logical Metadata User Data Resources Metadata Services Access Metadata Formatting MCAT Conclusion DriversBusiness Technology DATABASES IN THE GRIDIntroducing Databases Databases Relational Database Object Database Object Relational Database SQL Database Data Model Schema Relational Model Anomalies Parallel Database Data Independence Parallel Databases Multiprocessor Architecture Alternatives Disadvantages of Parallelism Database Parallelization Techniques Data-Based Parallelism Parallel Data Flow Approach Parallelizing Relational Operators Data Skew Distributing Databases Advantages Disadvantages Rules for Distributed Databases Fragmentation Replication Metadata Distributed Database Failures Data Access Data Synchronization Concurrency Control Two-Phase Commit Protocol Time Stamp Ordering Heterogeneity Conclusion ...

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