SC-BDA 2012 : IEEE International Workshop on Scalable Computing for Big Data Analytics
Call For Papers
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
There will be Best Paper Award ($200 with certificate) and Best Prototype Award ($150 with certificate)
Paper submissions due: Monday, August 20th 2012
Short demo paper submissions due: Monday, August 20th, 2012
Notification of authors: Saturday, September 1st, 2012
Camera ready versions: Monday, October 1st, 2012
Registration Deadline: Monday, October 1st, 2012
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
· Text Box: [SPONSORSHIP] 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
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 at https://www.easychair.org/conferences/?conf=scbda2012 before the submission deadline.
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).
Xiaorong Li, A*STAR Institute of High Performance Computing, Singapore
Terence Hung, A*STAR Institute of High Performance Computing, Singapore
Jinjun Chen, University of Technology, Sydney, Australia
KK Lim, Singapore Cloud Forum, Singapore