BDTA 2013 - The 2013 International Symposium on MapReduce based Big Data Tools and Applications

The 2013 International Symposium on MapReduce based Big Data Tools and Applications (MR.BDTA 2013)
03-05 December 2013, Sydney, Australia
co-located with the second International Conference on Big Data Science and Engineering (BDSE2013)
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 based 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 centers and scientific communities to address the challenges posed by big data applications. The MapReduce paradigm itself, emerging MapReduce based big data tools and MapReduce based big data applications are evolving fast, and therefore need extensive investigations from research communities.
This symposium aims at providing a forum for researchers, practitioners and developers from different background areas such as cloud computing, distributed computing and database areas to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about MapReduce and emerging big data tools and applications in cloud environments. The symposium solicits high quality research results in all related areas.
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 emerging big data tools. 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 based Big Data Tools and Applications
? Developping, Debugging and Testing Issues of MapReduce based Big Data Tools
? Performace Tuning and Optimization for MapReduce based Big Data Tools
? Benchmarking, Evaluation, Simulation for MapReduce based Big Data Tools
? 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
? Privacy, Security, Trust and Risk in MapReduce and Emerging Big Data Tools
? Integration of MapReduce and Emerging Big Data Tools with Cloud / Grid Systems
? MapReduce in Hybrid / Fabricated / Federated Cloud Systems
? Social Networks Analyses with MapReduce
? Data Mining, Analytics, and Visualization using MapReduce
? 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