Skip to Main content Skip to Navigation
New interface
Conference papers

Principles of Distributed Data Management in 2020?

Patrick Valduriez 1, * 
* Corresponding author
1 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : With the advents of high-speed networks, fast commodity hardware, and the web, distributed data sources have become ubiquitous. The third edition of the Özsu-Valduriez textbook Principles of Distributed Database Systems [10] reflects the evolution of distributed data management and distributed database systems. In this new edition, the fundamental principles of distributed data management could be still presented based on the three dimensions of earlier editions: distribution, heterogeneity and autonomy of the data sources. In retrospect, the focus on fundamental principles and generic techniques has been useful not only to understand and teach the material, but also to enable an infinite number of variations. The primary application of these generic techniques has been obviously for distributed and parallel DBMS versions. Today, to support the requirements of important data-intensive applications (e.g. social networks, web data analytics, scientific applications, etc.), new distributed data management techniques and systems (e.g. MapReduce, Hadoop, SciDB, Peanut, Pig latin, etc.) are emerging and receiving much attention from the research community. Although they do well in terms of consistency/flexibility/performance trade-offs for specific applications, they seem to be ad-hoc and might hurt data interoperability. The key questions I discuss are: What are the fundamental principles behind the emerging solutions? Is there any generic architectural model, to explain those principles? Do we need new foundations to look at data distribution?
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Patrick Valduriez Connect in order to contact the contributor
Submitted on : Friday, November 11, 2011 - 3:41:31 PM
Last modification on : Friday, August 5, 2022 - 3:03:28 PM
Long-term archiving on: : Monday, December 5, 2016 - 8:57:13 AM


Files produced by the author(s)



Patrick Valduriez. Principles of Distributed Data Management in 2020?. DEXA: Databases and Expert Systems Applications, Aug 2011, Toulouse, France. pp.1-11, ⟨10.1007/978-3-642-23088-2_1⟩. ⟨hal-00640139⟩



Record views


Files downloads