Call for Papers
DanaC 2013
Workshop on Data Analytics in the Cloud
June 23, 2013
In conjunction with SIGMOD 2013, New York City, NY, USA,
June 23-28, 2013
---Important Dates---
Submission deadline: March 29, 2013
Notification to authors: April 26, 2013
Camera ready papers due: May 10, 2013
Workshop: June 23, 2013
---Workshop Theme---
Data analytics has the potential to be a transformer of scientific research and business decisions. Scientific research is changing from hypothesis-driven to data-driven where forming scientific hypotheses is aided by discovering patterns in vast quantities of data. For technology companies that operate on a Web scale, analyzing web-site activity data provides insights on customer behavior, leading to better answers for critical business decisions.
Cloud computing has emerged as a cost-effective and elastic computing paradigm. Cloud infrastructures scale to massive numbers of computing nodes and provide adaptive provisioning without prohibitive initial investments. Data analytics has the potential to be a significant cloud application, and to constitute a large fraction of the workload of modern data centers. Designing the infrastructure and systems for data management in these new computing environments is an exciting challenge.
---Topics of Interest---
Areas of particular interest for the workshop include (but are not limited to):
- Parallel execution and optimization
- Scalable storage and indexing
- Workload management
- Infrastructures for cloud computing
- Scalable machine learning
- Frameworks for parallel computing
- Industrial experiences and use cases
- Benchmarking, tuning, and testing
- Data science
- Privacy and security in the cloud
- Multi-tenancy
- Economic models for data
- Data management and analytics as a service
---Submission Guidelines---
All papers should be formatted using the double-column ACM format (templates are available at:
http://www.acm.org/sigs/publications/proceedings-templates).
The workshop solicits:
- research papers (maximum length: 5 pages)
- vision papers (maximum length: 5 pages)
- industrial experience reports (maximum length: 5 pages)
All papers should clearly mark their type (research/vision/industrial) in the paper title.
Papers should be submitted using the conference management system:
https://cmt.research.microsoft.com/DANAC2013
---Keynotes---
Jingren Zhou, Microsoft Bing, USA
---PC chairs---
Kostas Tzoumas, Technical University of Berlin, Germany
Shivnath Babu, Duke University, USA
---Steering Committee---
Magdalena Balazinska, University of Wahsington, USA
Michael J. Carey, University of California, Irvine, USA
Tim Kraska, Brown University, USA
Volker Markl, Technical University of Berlin, Germany
---Program Committee---
Michael Armbrust, Google, USA
Yanpei Chen, Cloudera, USA
Vuk Ercegovac, IBM Almaden, USA
Shenoda Guirguis, Intel, USA
Hakan Hacigumus, NEC Labs, USA
Donald Kossmann, ETH Zurich, Switzerland
Jignesh Patel, University of Wisconsin â€" Madison, USA
Christopher Re, University of Wisconsin â€" Madison, USA
Russell Sears, Microsoft, USA
Ion Stoica, University of California, Berkeley, USA
Philipp Uniterbrunner, Oracle Labs, USA
Florian Waas, EMC, USA
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