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

Website www.ornl.gov/sci/knowledgediscovery/CloudComputing/PDAC-SC10/ | Edit Freely

Category PDAC 2010

Deadline: September 30, 2010 | Date: November 14, 2010

Venue/Country: New Orleans, U.S.A

Updated: 2010-09-16 19:08:35 (GMT+9)

Call For Papers - CFP

In Cooperation with ACM/IEEE SC10, 14 November 2010, New Orleans, LA, USA.

http://www.ornl.gov/sci/knowledgediscovery/CloudComputing/PDAC-SC10/

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/CloudComputing/PDAC-SC10/) 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)