DISTRIBUTED DATABASE
Nicholas Enticknap · Elsevier eBooks · 1989
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About 10,000 papers for “Distributed database”
Nicholas Enticknap · Elsevier eBooks · 1989
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Martin H. Weik · 2000
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Stancu Ana-Maria Ramona · RePEc: Research Papers in Economics
BDD systems show a number of advantages mainly related to the system performance increase by reducing costs relative to processing and transmission of data and, last but not least, to the fact that BDD system better fits in the organizational structure of an economic unit. The disadvantages are related to the high complexity of design applications). If your DBMS does not provide facilities for handling distributed conflicts, they will have to be dealt with through applications, . This is more difficult for such a system which, besides the complexity of a computer network, has problems related to the data distributed processing, as well as ensuring a high level of transparency of the distribution. The process of achieving a BDD system is complex and generally justified in one of the following situations: when conducting large database, which provides support for most activities in an organization, where frequent extension of the existing system or interconnecting a set of existing database are expected.
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Jakub Geyer · Digital Repository (National Repository of Grey Literature) · 2015
This thesis has for its aim to contribute to the problematics of big data distribution on the database level. Particular means of data distribution are analysed, especially in regard to its possible decentralised usage. Acquired findings are consequently used for the creation of the database system concept that enables saving and sharing of biological samples created by measuring with the aid of mass spectrometer.
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Michele Chilanti · 1996
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John Burke, Jon F. Ericson, Ardvas Mousessian · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
The Science Data Processing System (SDPS) application, described herein as an example, has had a long development cycle. The SDPS application incorporates IDL, C++, and Perl programming languages, with significant use of an Oracle Relational Database Management System (RDBMS). The time involved from initial design, 1996, to operational deployment, on July 15<sup>th</sup>, 2004, with the launch of the Aura spacecraft, spans several releases of the Oracle RDBMS. New database versions usher in new features and performance enhancements, sometimes requiring modifications to custom application code to take full advantage of improvements in technology. For a project with an aggressive release schedule, major redesigns of the custom code could jeopardize the successful completion of mission criteria. Over time, higher throughput requirements and hardware improvements in the application computing infrastructure revealed database performance bottlenecks due to increased scanning frequency of ever-growing tables and indexes. The Distributed Schema (DS) database redesign successfully addressed the database scalability and performance limitations, with only minor SIPS application changes and no changes to the TES SDPS application.
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I.B. Greenberg, Peter K. Rathman · 1992
Abstract : The Distribution Database Integrity (DDBI) project is a research effort funded by Rome Laboratory and conducted at the Computer Science Laboratory of SRI International. The main goal of this effort was to improve data integrity and consistency management techniques for C3 database application environments. The objective of this effort was to examine data integrity, consistency and concurrency control techniques for distributed object-oriented (0-0) database management systems. Specific areas that were investigated include: (1) rule-based concurrency control techniques for dynamic C3 processing, (2) adaptive concurrency techniques for dealing with consistency versus availability of data, (3) temporal database mechanisms for retaining multiple versions of database objects, (4) rules, constraints, and application- specific knowledge-bases for integrity maintenance, (5) active triggers for automatically enforcing integrity rules based upon local or remote updates, and (6) the effect of incrementally mutable objects (IMO's) on distributed database integrity. The contribution is flexible, robust, data integrity techniques for distributed object-oriented database management systems.
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Luis Garrote, Ingeniero De Caminos, Canales Y Puertos et al. · 1992
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Benabderrezak, Youcef · 2025
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Marc Auslander · 1986
No abstract available.
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M. TAMER ÖZSU, Patrick Valduriez · 2011
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Roberto Baldoni, Francesco Quaglia, Michel Raynal · Lecture notes in computer science · 1999
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David Howe · Elsevier eBooks · 2001
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M. Tamer Özsu · 2007
this article, we discuss the fundamentals of distributed DBMS technology. We address the data distribution and architectural design issues as well as the algorithms that need to be implemented to provide the basic DBMS functions such as query processing, concurrency control, reliability, and replication control.
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Yan Zhou · 2003
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Elvis C. Foster, Shripad V. Godbole · Auerbach Publications eBooks · 2022
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Elvis C. Foster, Shripad V. Godbole · Apress eBooks · 2016
As wonderful as database systems are, they would not be delivering on their true potential if they could not be networked in a distributed environment. This chapter discusses distributed database systems under the following subheadings.
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SpringerReference · 2011
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M. Papazoglou · 2002
The characteristics of distributed database architectures are discussed. It is noted that the advent of powerful modeling facilities, such as object-oriented and knowledge-based data models, has paved the way for a complete reconsideration of several of the long standing assumptions and perspectives that are pervading the field of distributed database architectures. It is now possible to propose novel architectures based on high-level data modeling facilities. The advocated architecture is called the semidecentralized or clustered architecture and combines the positive aspects of both logically centralized and federated databases. This architecture substantiates the substrate which automatically classifies the activities that each preexisting data base management system may undertake and is in the position to describe the entire volume of information that can be supplied by each individual database system in the network.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Yuji Wada, Yuta Watanabe, Keisuke Syoubu et al. · 2010
In this paper, our research objective is to develop a database virtualization technique so that data analysts or other users who apply data mining methods to their jobs can use all ubiquitous databases in the Internet as if they were recognized as a single database, thereby helping to reduce their workloads such as data collection from the Internet databases and data cleansing works. In this study, firstly we examine XML scheme advantages and propose a database virtualization method by which such ubiquitous databases as relational databases, object-oriented databases, and XML databases are useful, as if they all behaved as a single database. Next, we show the method of virtualization of ubiquitous databases can describe ubiquitous database schema in a unified fashion using the XML schema. Moreover, it consists of a high-level concept of distributed database management of the same type and of different types, and also of a location transparency feature. Finally, we develop a common schema generation method and propose the virtual database query language for use in a virtualized ubiquitous database use environment.
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