![]() |
| |||||||||||
DanaC 2012 : EDBT/ICDT Workshop on Data ANAlytics in the Cloud | |||||||||||
Link: http://danac.dima.tu-berlin.de | |||||||||||
| |||||||||||
Call For Papers | |||||||||||
*******************************************************
DanaC 2012 Workshop on Data ANAlytics in the Cloud March 30, 2012 http://danac.org/ ******************************************************* 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. ---Keynotes--- Roger Barga, Microsoft Research, USA 2nd keynote: TBD ---Submission Guidelines--- All papers should be formatted using the double-column ACM format (templates available at: http://www.acm.org/sigs/publications/proceedings-templates). 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: https://cmt.research.microsoft.com/DANAC2012/ 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 |
|