PDAC 2010 - 1st International Workshop on Petascale Data Analytics on Clouds: Trends, Challenges, and Opportunities (PDAC-10)

1st International Workshop on Petascale Data Analytics on Clouds: Trends, Challenges, and Opportunities (PDAC-10)
In Cooperation with ACM/IEEE SC10, 14 November 2010, New Orleans, LA, USA.
http://www.ornl.gov/sci/knowledgediscovery/CloudCo...

Call For Papers

Important Deadlines
Paper Submission
September 27, 2010
Acceptance Notice
October 15, 2010
Camera-Read Copy
October 20, 2010
The 1st International Workshop on Petascale Data Analytics on Clouds: Trends, Challenges, and Opportunities (PDAC-10), to be held in cooperation with 23rd IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC10), provides an international platform to share and discuss recent research results in adopting high-performance clouds and distributed computing resources for petascale data analytics.

Synopsis: Recent decade has witnessed data explosion, and petabyte sized data archives are not uncommon any more. Many traditional application domains are now becoming data intensive. It is estimated that organizations with high-performance computing infrastructures and data centers are doubling the amount of data that they are archiving every year. Processing large datasets using supercomputers alone is not an economical solution. Recent trends show that cloud computing is becoming a more practical and economical solution for both providers and consumers ranging from business analytics to scientific computing. Cloud computing is fast becoming a cheaper alternative to costly centralized systems. Many recent studies have shown the utility of cloud computing in data mining, machine learning and knowledge discovery. Cloud computing has great potential for petascale data analytics community, but wide scale adoption brings great challenges as well. This workshop intends to bring together researchers, developers, and practitioners from academia, government, and industry to discuss new and emerging trends in cloud computing technologies, programming models, and software services and outline the data analytics approaches that can efficiently exploit this modern computing infrastructure. This workshop also seeks to identify the greatest challenges in embracing cloud computing infrastructure for scaling algorithms to petabyte sized datasets. Thus, we invite all researchers, developers, and users to participate in this event and share, contribute, and discuss the emerging challenges in developing data mining and knowledge discovery solutions and frameworks around cloud and distributed computing platforms.

Topics: The major topics of interest to the workshop include but are not limited to:

Programing models and tools needed for data mining, machine learning, and knowledge discovery
Fault tolerant data mining in clouds
Storing and mining the streaming data in clouds
Distributing data in the cloud and I/O issues
Data movement and caching
Distributed file systems
Scalable storage management
Scalability and complexity issues
Security and privacy issues relevant to DM/KD community
Best use cases: are there a class of algorithms that best suit to cloud and distributed computing platforms
Performance studies comparing clouds, grids, and clusters
Performance studies comparing various distributed file systems for data intensive applications
Workflows for cloud computing
Customizations and extensions of existing software infrastructures such as Hadoop for streaming, spatial, and spatiotemporal data mining
Applications and case studies: Earth science, climate, energy, business, text, web and performance logs, medical, biology, image and video
Future research challenges for petascale data analytics and beyond
Paper Submission: This is an open call-for-papers. We invite regular research paper submissions (maximum 10 pages), work-in-progress (5 pages), demo papers (3 pages), and position papers (3 pages). Detailed submission instructions will be posted on PDAC-10 (http://www.ornl.gov/sci/knowledgediscovery/CloudCo...) website.

Organizing Committee:

Program Chairs
Ranga Raju Vatsavai, Oak Ridge National Laboratory, USA
Vipin Kumar, University of Minnesota, USA
Alok Choudhary, Northwestern University, USA

Government, Industry, and Sponsorship
Budhendra Bhaduri, Oak Ridge National Laboratory, USA
Galen Shipman, Oak Ridge National Laboratory, USA
Dean Williams, Lawrence Livermore National Laboratory, USA

Publicity Chairs
Varun Chandola, Oak Ridge National Laboratory, USA

Steering Committee (Under Construction)
Brian Worley, Oak Ridge National Laboratory, USA
Barney McCabe, Oak Ridge National Laboratory, USA

Program Committee (Under Construction)