Principles of Distributed Data Management in 2020?

Tuesday, July 12, 2011 - 2:15pm


Friday, July 22, 2011
11:00 AM – 12:00 PM
Computer Science Conference Room, Harold Frank Hall Rm. 1132

HOST: Amr El Abbadi

SPEAKER: Patrick Valduriez
INRIA and LIRMM, Montpellier – France

Title: Principles of Distributed Data Management in 2020?


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 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?


Patrick Valduriez ( is a
senior researcher at INRIA, Montpellier. He has also been a professor of
CS at University Paris 6 (1999-2002) and a researcher at
Microelectronics and Computer Technology Corp. in Austin, Texas. He
received his Ph. D. degree and Doctorat d’Etat in CS from University
Paris 6 in 1981 and 1985, respectively. His research focuses on data
management in large-scale distributed and parallel systems (P2P,
cluster, grid, cloud), in particular, scientific data management. He has
authored and co-authored over 200 technical papers and several
textbooks, among which “Principles of Distributed Database Systems”. He
has been a member of the SIGMOD board, a trustee of the VLDB endowment
and an associate editor of several journals, including ACM TODS, the
VLDB Journal, Distributed and Parallel Databases, and Internet and
Databases. He has served as PC chair of major conferences such as
PDIS93, SIGMOD97, VLDB98 (industrial chair), VLDB99 (European chair). He
was the general chair of SIGMOD04, EDBT08 and VLDB09. He was the
recipient of the 1993 IBM scientific prize in CS in France. He obtained
the best paper award at VLDB00.