By M. Tamer Özsu, Patrick Valduriez (auth.)
This 3rd version of a vintage textbook can be utilized to educate on the senior undergraduate and graduate degrees. the fabric concentrates on basic theories in addition to recommendations and algorithms. the appearance of the web and the realm huge internet, and, extra lately, the emergence of cloud computing and streaming info functions, has pressured a renewal of curiosity in allotted and parallel info administration, whereas, while, requiring a rethinking of a few of the conventional recommendations. This publication covers the breadth and intensity of this re-emerging box. The insurance includes components. the 1st half discusses the basic ideas of disbursed facts administration and comprises distribution layout, information integration, dispensed question processing and optimization, allotted transaction administration, and replication. the second one half specializes in extra complex themes and comprises dialogue of parallel database structures, disbursed item administration, peer-to-peer facts administration, internet facts administration, facts movement structures, and cloud computing. New during this version: • New chapters, overlaying database replication, database integration, multidatabase question processing, peer-to-peer info administration, and internet information administration. • insurance of rising issues resembling information streams and cloud computing • large revisions and updates in keeping with years of sophistication trying out and suggestions Ancillary educating fabrics are available.
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Extra resources for Principles of Distributed Database Systems, Third Edition
Example text
3 Architectural Models for Distributed DBMSs We now consider the possible ways in which a distributed DBMS may be architected. 10) that organizes the systems as characterized with respect to (1) the autonomy of local systems, (2) their distribution, and (3) their heterogeneity. Distribution Peer-to-Peer DDBSs Multidatabase Systems Client/Server Systems Autonomy Heterogeneity Fig. 4 Autonomy Autonomy, in this context, refers to the distribution of control, not of data. It indicates the degree to which individual DBMSs can operate independently.
One of the important developments has been the move towards “looser” federation among data sources, which may also be heterogeneous. As we discuss in the next section, this has given rise to the development of multidatabase systems (also called federated databases and data integration systems) that require re-investigation of some of the fundamental database techniques. These systems constitute an important part of today’s distributed environment. , database integration) in Chapter 4 and the query processing challenges in Chapter 9.
2. Localization reduces remote access delays that are usually involved in wide area networks (for example, the minimum round-trip message propagation delay in satellite-based systems is about 1 second). Most distributed DBMSs are structured to gain maximum benefit from data localization. Full benefits of reduced contention and reduced communication overhead can be obtained only by a proper fragmentation and distribution of the database. This point relates to the overhead of distributed computing if the data have to reside at remote sites and one has to access it by remote communication.