posted by system || 4708 views || tracked by 14 users: [display]

DanaC 2012 : EDBT/ICDT Workshop on Data ANAlytics in the Cloud


When Mar 30, 2012 - Mar 30, 2012
Where Berlin, Germany
Submission Deadline Dec 4, 2011
Categories    data mining

Call For Papers

DanaC 2012
Workshop on Data ANAlytics in the Cloud
March 30, 2012

In conjunction with EDBT/ICDT 2012, Berlin, Germany,
March 26-29, 2012

---Important Dates---

Submission deadline: December 4, 2011
Notification to authors: January 15, 2012
Camera ready papers due: February 2, 2012
Workshop: March 30, 2012

---Workshop Theme---

Due to unprecedented data growth, a need for rich data analysis on
petabyte-scale data is emerging. To support such analysis, new data-centric
programming paradigms and data management systems are being established,
popularized by Google's MapReduce framework and its open-source
implementation, Hadoop. The new data analysis market raises several research
challenges spanning the whole system stack, from storage and network
technologies to programming languages.

At the same time, cloud computing is emerging as a cost-effective paradigm
for massively scalable, fault-tolerant, and adaptive computation. Cloud
computing architectures scale to massive numbers of commodity computers and
adapt to changing hardware availability and requirements by dynamically
allocating virtualized computing nodes. Cloud computing systems often use a
computational model motivated by functional programming, abstracting away
the internals of computation. Both enterprise and client data are moving to
the cloud for reasons of cost, reliability, and manageability. This
migration poses significant challenges on current systems. The economies of
scale provided by cloud computing provide opportunities for richer data
analysis on even larger data sets. The new data analysis applications and
the unprecedented scale is not adequately served by current offerings,
including commercial DBMSs and analytics systems, and open-source cloud
computing systems.

This workshop will provide a perfect forum to bring together researchers and
practitioners interested in big data analytics, cloud computing, and their
intersection. The workshop will help to foster future collaborations and the
formation of a community that sets the ground of this emerging field.

---Topics of Interest---

Submissions of original research contributions are invited for all relevant
topics, including, but not limited to:

- Analytic frameworks for cloud systems
- Data models and query languages
- Parallel query processing and optimization
- Scalable storage and indexing
- Workload management
- Data privacy and security
- Administration and manageability
- Benchmarking, tuning, and testing
- Energy management
- Industrial experience and use cases
- Data science and analytics technologies
- Scientific data management
- Scalable machine learning

This one-day workshop on March 30, 2012 will be co-located with EDBT/ICDT
2012 in Berlin, Germany. Workshop participants will have to register for
EDBT/ICDT; attendance to all workshops will be included in the overall
registration fee.


Roger Barga, Microsoft Research, USA
2nd keynote: TBD

---Submission Guidelines---

All papers should be formatted using the double-column ACM format (templates
available at:

The workshop solicits:
- regular research papers (maximum length: 12 pages),
- vision papers (maximum length: 6 pages)
- experience reports (maximum length: 6 pages).

Papers should be submitted using the conference management system:

The workshop proceedings with be published in the ACM Digital Library.

---PC Chairs---

Tim Kraska, UC Berkeley, USA
Kostas Tzoumas, TU Berlin, Germany

---Steering Committee---

Michael J. Carey, UC Irvine, USA
Volker Markl, TU Berlin, Germany

---Program Committee---

Shivnath Babu, Duke University, USA
Magdalena Balazinska, University of Washington, USA
Alexandru Iosup, TU Delft, The Netherlands
Donald Kossmann, ETH Zurich, Switzerland
Sam Madden, MIT, USA
Ioana Manolescu, INRIA, France
Jignesh Patel, University of Wisconsin-Madison, USA
Christopher Re, University of Wisconsin-Madison, USA
Mirek Riedewald, Northeastern University, USA
Marcos Vaz Salles, University of Copenhagen, Denmark
Florian Waas, EMC/Greenplum, USA

Related Resources

ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
ICDM 2021   21th Industrial Conference on Data Mining
CCBD--Ei Compendex & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2021)--Ei Compendex & Scopus
MLDM 2021   17th International Conference on Machine Learning and Data Mining
SI-DAMLE 2020   Special Issue on Data Analytics and Machine Learning in Education
CISDM 2020   2020 2nd Euro-Asia Conference on Information System and Data Mining (CISDM 2020)
CCBD--Ei & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2021)--Ei Compendex & Scopus
IJNGN 2020   International Journal of Next - Generation Networks
ITAS--EI Compendex, Scopus 2021   2021 Information Technology & Applications Symposium (ITAS 2021)--EI Compendex, Scopus
DASFAA 2021   Database Systems for Advanced Applications