Inhalt des Dokuments
Berlin Brandenburg Information Systems Colloquium
| Termin | Ort | Dozent/Thema |
|---|---|---|
| Cancelled Mo 01.02.2010 16:00 c.t. | TU | Steve Loughran, Hewlett Packard, Automated Infrastructure Labs, Bristol, U.K. "New roles in the cloud" TU Berlin, Einsteinufer 17, Raum EN719, 10587 Berlin |
| Mo 25.01.2010 16.00 c.t. | FU | Prof. Dr. Rudolf Kruse, Univ. Magdeburg "Temporal Pattern Mining" FU Berlin, Inst. f. Informatik, SR49, Takustr. 9, 14195 Berlin |
| Mo 18.01.2010 16.00 c.t. | HU | Dr. Stefan Manegold, CWI, Amsterdam, NL "MonetDB: Open-source Database Technology Beyond Textbooks" HU Berlin, Inst. f. Informatik, Humboldt-Kabinett, Rudower Chaussee 25, 12489 Berlin |
Steve Loughran, Hewlett Packard, Automated Infrastructure Labs, Bristol, U.K.
"New roles in the cloud"
Abstract:
We are trying align Cloud Infrastructures management tools and
programming interfaces with the organizational structure of large
enterprises. We believe that dividing up tasks into architecture,
operations and development roles is still important, because designing
a cloud-hosted application is different from getting it to work,
which is different from keeping it running. We have built a prototype
front-end service to Cloud APIs, "CloudFarmer" service to offer
different features to the different roles.
We also pass down this concept of "role" into the API itself.
Rather than make people ask for Virtual Machines with specific CPU
and memory options, mounting named disk images, the API lets its callers
ask for machines by "role", roles that have been predefined. This keeps
machine configuration under control, and makes it easier to switch
between cloud service providers.
Prof. Dr. Rudolf Kruse, Univ. Magdeburg
"Temporal Pattern Mining"
Abstract:
Data mining can be considered a vital component in strategic planning for companies that are aware of global competition, ever-shorter production cycles and increasing customer requirements. It is of paramount importance to identify meaningful patterns quickly within the collected data in order to respond to impending supply shortages or evolving problems with delivered products. However, patterns that correspond to such lingering problems rarely occur out of a sudden. Therefore we suggest a temporal view on the data as well as the resulting patterns.
Further, we intend to enable users that not necessarily have a statistical background to assess and understand the identified patterns. This will be accomplished by devising appropriate visualization methods for patterns as well as their temporal change.
Specifically, real-world examples with different types of patterns from four projects in the areas automotive manufacturing, finance, health and online communities are studied. Using these examples, new visualization techniques for the identification of interesting association rules change over time and the identification of changes in cooccurrence graphs are presented.
Bio:
Rudolf Kruse obtained his diploma (Mathematics) degree in 1979 from the University of Braunschweig, Germany, and a PhD in Mathematics in 1980 as well as the venia legendi in Mathematics in 1984 from the same university. Following a short stay at the Fraunhofer Gesellschaft, in 1986 he joined the University of Braunschweig as a professor of computer science. Since 1996 he is a full professor at the Department of Computer Science of the University of Magdeburg where he is leading the computational intelligence research group.
He has carried out research and projects in statistics, artificial intelligence, expert systems, fuzzy control, fuzzy data analysis, computational intelligence, and information mining. His research group is very successful in various industrial applications.
Rudolf Kruse has coauthored more than 30 books as well as more than 330 refereed technical papers in various scientific areas. He is associate editor of several scientific journals. He is a fellow of the International Fuzzy Systems Association (IFSA), fellow of the European Coordinating Committee for Artificial Intelligence (ECCAI) and fellow of the Institute of Electrical and Electronics Engineers (IEEE).
Dr. Stefan Manegold, CWI, Amsterdam, NL
"MonetDB: Open-source Database Technology Beyond Textbooks"
Abstract:
Column-store database management systems have recently experienced a
considerable popularity-boost. The underlying ideas, however, date back to
(at least) the mid 1980's and the technology has been pioneered since the
early 1990's in the MonetDB, a column-store research prototype that has been
developed into a complete SQL- and XML/XQuery-compliant column-store DBMS
freely available in open source. Next to its column-store back-bone, MonetDB
focuses on high-performance hardware-conscious algorithms and novel
workload-adaptive query processing techniques such as "cracking",
"recycling" and run-time query optimization.
In this talk, we will provide detailed insight into MonetDB's column-store
architecture and query-processing technology as available in open-source,
and discus ongoing research projects towards self-managing datamanagment
technology.
Bio:
Stefan Manegold is a tenured researcher in the database architecture
research group at CWI in Amsterdam, The Netherlands. He received his PhD
from the University of Amsterdam, The Netherlands, in 2002 and his Master
(Diplom) in computer science from the Technical University of Clausthal,
Germany, in 1994.
Manegold's research work comprises database architectures, query processing
algorithms and data management on modern hardware, as well as leveraging
column-store database technology for efficient and scalable XML/XQuery
processing, with a particular focus on optimization, performance,
benchmarking and testing. Manegold co-authored of more than 40 scientific
publications, and recently received the VLDB 2009 10-year Best Paper Award
together with his co-authors Peter Boncz & Martin Kersten.
Stefan Manegold is a core member of the developers team of the open-source
column-oriented database system MonetDB, co-founder of the DaMoN workshop
series (co-located with SIGMOD since 2005), and co-chair of the
Repeatability and Workability Evaluation for SIGMOD 2009 & 2010.
URL: http://homepages.cwi.nl/~manegold/