IEEE International Workshop on Scalable Computing for Big Data Analytics (SC-BDA)
Dec 17-19, 2012
In conjunction with ICPADS 2012
· There will be Best Paper Award ($200 with certificate) and Best Prototype Award ($150 with certificate)
· Distinguished papers accepted by SC-BDA 2012 will be recommended to extend and submit to IEEE Computing in Science & Engineering, Information System Frontier, or Cluster Computing for review and publication
Datasets are growing bigger and bigger. The research community and enterprises can easily produce voluminous amount of data. As the amount of data available keep increasing, the ability to compute large data sets and to scale up/down dynamically becomes increasingly important. Scalable Computing is to address the large scale computing to handle high-throughput and data-intensive computing. It requires advanced parallel and distributed computing technologies such as GPGPU, in-memory, in-database, Hadoop, cloud computing to provide highly scalable and efficient solutions for many scientific and engineering problems.
The IEEE International Workshop on Scale Computing for big data analytics aims to investigate the possible solutions and advance enabling technologies to solve complex data analytic problems. The theme of this year is data value chain as services. Data value chain involves a variety of the processes including data collection, management, storage, share, integration, processing, analyzing, and visualization. We cordially invite high quality publication to discuss the research issues not limited to parallel and distributed computing systems, supercomputing, high-throughput data processing, but also multidisciplinary research on data processing, scientific analytics, engineering simulations, as well as economic-related issues to enforce the eco-system as a whole value chain for data analytics and services.
Topic of Interests includes:
· Cloud systems for data analytics
· Multi-core and accelerator-based computing
· Autonomic computing and cyberinfrastructure
· Peer-to-peer computing
· Workflow management and optimization
· MapReduce programming and Hadoop
· High-throughput data-intensive computing and communication
· Scientific data analytic applications and experience
· Scalable data mining algorithms
· Programming models
· Scheduling, resource management, and fault tolerance
· Performance modeling and evaluation
· Economic-based models and approaches
· Data privacy and integrity
Paper submission 22 Aug 2012 (extended)
Demo proposal submission 20 Aug 2012
Acceptance notification 1 Sep 2012
Deadline of camera-ready version 1 October 2012
Deadline for author registration 1 October 2012
Submissions should be in PDF format with abstract, 5-10 keywords, and the e-mail addresses of the corresponding authors. Each submission must not exceed 6 pages in the IEEE 8.5'' x 11'' two-column format with 10-12 point font, including tables and figures. All submitted papers will be peer-reviewed by three experts in this field. Paper should be submitted to electronic submission system before the submission deadline. Click here to submit to EasyChair.
Papers accepted will be published by the IEEE Computer Society Press. All accepted papers will be included in IEEE Xplore and indexed by EI. At least one of the authors must register the paper and attend the conference to present the work. There will be Best Paper Award ($200 with certificate). Distinguished papers accepted by SC-BDA 2012 will be recommended to be published in the special issues of journals after further revisions. As hoping the research work could be practical to the real work, we highly encourage that the authors can present their implementation work with live demo or videos during their presentation. There will be Best Prototype Award ($150 with certificate).
· Workshop Co-Chairs:
Xiaorong Li, A*STAR Institute of High Performance
Terence Hung, A*STAR Institute of High Performance Computing, Singapore
Jinjun Chen, University of Technology, Sydney, Australia
KK Lim, Singapore Cloud Forum, Singapore
Program Committees (In alphabet order)
Bang Wang, Huazhong University of Science and
Bharadwaj Veeravalli, National University of Singapore, Singapore
Bo Hong, Georgia Institute of Technology, U.S.A.
Henry Kasim, A*STAR Institute of High Performance
Gary Lee, A*STAR Institute of High Performance Computing, Singapore
Guangbin Huang, Nanyang Technology University, Singapore
Gyözö Gidofalvi, KTH Royal Institute of Technology, Sweden
Khai Leong Yong, A*STAR Data Storage Institute, Singapore
Lingfang Zeng, Huazhong University of Science and
Manish Parashar, Rutgers, The State University of New Jersey, U.S.A.
Marek T Michalewicz, A*STAR Computational Resource Center, Singapore
Qin Zheng, A*STAR Institute of High Performance Computing, Singapore
Radu Prodan, University of Innsbrok, Austria
Rajkummar Buyya, University of Melbourne, Australia
Rodrigo Calheiros, University of Melbourne, Australia
Ren Lei, Beihang University, China
Rui Han, Imperial College London, U.K.
Schahram Dustdar, University of Technology, Austria
Sharad Singhal, HPLabs Palo Alto, U.S.A.
Shixing Yan, HPLabs Singapore, Singapore
Teo Yong Meng, National University of Singapore, Singapore
Weiwei Chen, Information Sciences Institute, U.S.A.
Venue: Nanyang Executive Centre
Address : Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
Phone : (65) 67911744； Fax : (65) 67911604
Website : http://www.ntu.edu.sg/NEC/Pages/default.aspx
For details about registration, travel, and accommodation please see the ICPADS 2012 Website.