Call for Papers
Due to requests from other authors, the submission deadline has been extended to September 5, 2014. This is firm, no more extension.
The 3rd International Symposium on MapReduce and Big Data Infrastructure (MR.BDI 2014)
03-05 December 2014, Sydney,
Co-located with the 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014). Sponsored by Sponsored by IEEE TCSC Technical Area on Big Data and MapReduce
|
Key dates: Deadline for Paper Submission: September 5, 2014 (extended, firm) Notification of Acceptance: September 25, 2014 Camera Ready Copies: Registration Due:
------------------------------
The emergence of big data and the potential to undertake complex analysis of very large data sets is, essentially, a consequence of recent advances in the technology that allow this. The development of cloud computing over the last few years represents the single most important contributor to the big data trend, with cloud infrastructure such as compute, storage and analytical tools and apps now widely available. The convergence of big data and cloud computing are having far reaching implications that indeed are changing the world. MapReduce, a widely-adopted parallel and distributed programming paradigm for processing large-scale data sets, becomes much more powerful, scalable, elastic and cost-effective when integrated in cloud systems as it can benefits from the salient characteristics of cloud computing. Based on the MapReduce paradigm and other relevant techniques like HDFS, a series of applications and higher level platforms such as Hadoop, Hive, Twister, Spark, Pregel, to name a few, have been proposed and developed. MapReduce and the emerging tools in cloud are ideal for enterprises with large data centres and scientific communities to address the challenges posed by big data applications. The MapReduce paradigm itself, emerging MapReduce based big data tools and applications, and big data infrastructure such as cloud systems are evolving fast, and therefore need extensive investigations from various research communities.
This symposium aims at providing a forum for researchers, practitioners and developers from different background areas such as cloud computing, distributed computing, large-scale data management and database areas to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about MapReduce, MapReduce based platforms and emerging big data infrastructure. The symposium solicits high quality research results in all related areas.
This is the third instalment of the symposium, following the successful events of 2013 (Australia) and 2012 (China).
------------------------------
Topics:
The objective of the symposium is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of MapReduce and big data infrastructure. The symposium solicits novel papers on a broad range of topics, including but not limited to:
· Challenges and Opportunities in MapReduce based Big Data Tools and Applications
· Recent Development in MapReduce and Big Data Infrastructure
· Developing, Debugging and Testing Issues of MapReduce based Big Data Tools
· Performance Tuning
· Benchmarking,
· Iterative / Recursive MapReduce Systems
· Computational Theory for MapReduce based Systems
· Extension of the MapReduce Programming Paradigm
· Distributed File Systems for MapReduce and Emerging Big Data Tools
· Algorithm Analysis and Design with MapReduce Paradigm
· Resource Scheduling and SLA of MapReduce for Multiple Users
· Heterogeneity and Fault-tolerance in MapReduce based Systems and Big Data Infrastructure
· Privacy, Security, T
· Integration of MapReduce and Emerging Big Data Tools with Cloud / Grid Systems
· MapReduce in Hybrid
· Social Networks Analyses with MapReduce
· Data Mining, Analyti
· Big Stream / Incremental Data Processing using MapReduce
· Big Scientific, Genomic and Healthcare Data Processing with MapReduce
· Industrial Experience and Use Cases of MapReduce based Applications
· Recent Development Open Source Big Data Infrastructure
------------------------------
Submission Guidelines:
Submit your paper(s) in PDF file at the MR.BDI2014 submission site: https://www.easychair.
------------------------------
Publication of paper:
All accepted papers will appear in the proceedings published by IEEE Computer Society (EI indexed). Distinguished papers will be invited to special issues of BDCloud2014 in Concurrency and Computation: Practice and Experience, Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing.
------------------------------
Important Dates:
Deadline for Paper Submission: September 5, 2014 (extended, firm)Notification of Acceptance: September 25, 2014 Camera Ready Copies: October 15, 2014 Registration Due: |
------------------------------
General Chairs:
Timos Sellis, RMIT University, Australia
Yanpei Chen, Cloudera, USA
Rajkumar Buyya, University of Melbourne, Australia
Jinjun Chen, University of Technology, Sydney, Australia
------------------------------
Program Committee Chairs:
Nazanin Borhan, University of Technology Sydney, Australia
Xuyun Zhang, University of Technology Sydney, Australia
Suraj Pandey, IBM Australia Research Lab, Australia
------------------------------
Program Committees:
Gunter Saake, University of Magdeburg, Germany
Andreas Thor, University of Leipzig, Germany
Javid Taheri, University of Sydney, Australia
Amund Tveit, Memkite, Norway
Soudip Roy Chowdhury, INRIA, Saclay, France
Bahman Javadi, University of Western Sydney, Australia
Paolo Trunfio, University of Calabria, Italy
Chi Yang, University of Technology Sydney, Australia
Liana Fong, IBM Research, USA
Nikzad Babaii Rizvandi, University of Sydney, Australia
Shipin Chen, CSIRO, Australia
Roberto Di Pietro, Roma Tre University of Rome, Italy
Jun-Ki Min, Korea university of technology, South Korea
Ray C.C. Cheung, City University of Hong Kong, Hong Kong
Hadi Mashinchi, Simavita, Australia
Chao Wang, University of Science and Technology of China, China
Hidemoto Nakada, AIST, Japan
Boyu Zhang, University of Delaware, USA
No comments:
Post a Comment