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<p style="background:white"><span style="color:#222222">[We apologize if you receive multiple copies of this CFP.]<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222"><o:p> </o:p></span></p>
<p style="background:white"><span style="color:#222222">Call for Papers<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222"><o:p> </o:p></span></p>
<p style="background:white"><span style="color:#222222">Due to requests from other authors, the submission deadline has been extended to
</span>September 5<span style="color:#222222">, 2014. This is firm, no more extension. <o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222"><o:p> </o:p></span></p>
<p style="background:white"><span style="color:#222222">The 3rd International Symposium on MapReduce and Big Data Infrastructure (MR.BDI 2014)<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">03-05 December 2014, Sydney, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Co-located with the 4th IEEE </span><span lang="EN-US" style="color:#222222">International Conference on </span><span style="color:#222222">Big Data and Cloud Computing </span><span lang="EN-US" style="color:#222222">(</span><a href="http://www.swinflow.org/confs/bdcloud2014/" target="_blank"><span style="color:windowtext">BDCloud
 2014</span></a><span style="color:#222222">). Sponsored by </span><span lang="EN-US" style="color:#222222">Sponsored by IEEE </span><a href="http://www.ieeetcsc.org/" target="_blank"><span lang="EN-US" style="color:windowtext">TCSC</span></a><span lang="EN-US" style="color:#222222"> Technical
 Area on Big Data and MapReduce</span><span style="color:#222222"><o:p></o:p></span></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:115%">
<span style="mso-fareast-language:EN-US"><a href="http://www.swinflow.org/confs/mrbdi2014/" target="_blank"><span style="color:#1155CC">http://www.swinflow.org/confs/mrbdi2014/</span></a></span><span class="MsoHyperlink"><span style="color:#1155CC"><o:p></o:p></span></span></p>
<p class="MsoNoSpacing" style="line-height:115%"><span style="mso-fareast-language:EN-US">Key dates:</span><o:p></o:p></p>
<p class="MsoNoSpacing" style="line-height:115%"><span style="mso-fareast-language:EN-US">Deadline for Paper Submission:           September 5, 2014
<span style="color:red">(extended, firm)<o:p></o:p></span></span></p>
<p class="MsoNoSpacing" style="line-height:115%"><span style="mso-fareast-language:EN-US">Notification of Acceptance:                  September 25, 2014<o:p></o:p></span></p>
<p class="MsoNoSpacing" style="line-height:115%"><span style="mso-fareast-language:EN-US">Camera Ready Copies:                         October 15, 2014<o:p></o:p></span></p>
<p class="MsoNoSpacing" style="line-height:115%"><span style="mso-fareast-language:EN-US">Registration Due:                                  October 15, 2014<o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">--------------------------------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">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.<o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">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.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:115%">
<span style="color:#222222;mso-fareast-language:EN-US">This is the third instalment of the symposium, following the successful events of </span><span style="mso-fareast-language:EN-US"><a href="http://www.swinflow.org/confs/mrbdi2013/" target="_blank"><span style="color:windowtext">2013</span></a><span style="color:#222222"> (Australia)
 and </span><a href="http://www.swinflow.org/confs/bigdatamr2012" target="_blank"><span style="color:windowtext">2012</span></a><span style="color:#222222"> (China).<o:p></o:p></span></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">----------------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">Topics:<o:p></o:p></span></p>
<p style="line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">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:<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Challenges and Opportunities in </span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">MapReduce</span><span style="color:#222222;mso-fareast-language:EN-US"> based
 Big Data Tools and Applications<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         </span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">Recent Development in MapReduce</span><span style="color:#222222;mso-fareast-language:EN-US"> and
 Big Data Infrastructure<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Developing, Debugging and Testing Issues of MapReduce based Big Data Tools     <o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Performance Tuning and Optimization for MapReduce and Big Data Infrastructure <o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Benchmarking, Evaluation, Simulation for MapReduce based Big Data Tools     <o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Iterative / Recursive MapReduce Systems<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Computational Theory for MapReduce based Systems<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         </span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">Extension of the MapReduce Programming </span><span style="color:#222222;mso-fareast-language:EN-US">Paradigm<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         </span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">Distributed File Systems for </span><span style="color:#222222;mso-fareast-language:EN-US">MapReduce
 and Emerging Big Data Tools<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Algorithm Analysis and Design with MapReduce Paradigm<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Resource Scheduling and SLA of MapReduce for Multiple Users<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Heterogeneity and Fault-tolerance in MapReduce based Systems and Big Data Infrastructure<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Privacy, </span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">Security, </span><span style="color:#222222;mso-fareast-language:EN-US">T</span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">rust
 and Risk in </span><span style="color:#222222;mso-fareast-language:EN-US">MapReduce and Big Data Infrastructure   <o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Integration of MapReduce and Emerging Big Data Tools with Cloud / Grid Systems   <o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         MapReduce in Hybrid / Fabricated / Federated Cloud Systems    <o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Social Networks Analyses with MapReduce<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Data </span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">Mining</span><span style="color:#222222;mso-fareast-language:EN-US">, </span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">Analytics</span><span style="color:#222222;mso-fareast-language:EN-US">,
 and Visualization using MapReduce     <o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Big Stream / Incremental Data Processing using MapReduce<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Big Scientific, Genomic and Healthcare Data Processing with MapReduce<o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         Industrial Experience and Use Cases of MapReduce based Applications <o:p></o:p></span></p>
<p style="margin-left:36.0pt;line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">·         </span><span lang="EN-US" style="color:#222222;mso-fareast-language:EN-US">Recent Development</span><span style="color:#222222;mso-fareast-language:EN-US"> Open
 Source Big Data Infrastructure       <o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">------------------------------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">Submission Guidelines:<o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">Submit your paper(s) in PDF file at the MR.BDI2014 submission site: </span><span style="mso-fareast-language:EN-US"><a href="https://www.easychair.org/conferences/?conf=mrbdi2014" target="_blank"><span style="color:windowtext">https://www.easychair.org/conferences/?conf=mrbdi2014</span></a><span style="color:#222222">.
 Papers should be limited up to 8 pages in IEEE CS format. The template files for </span><a href="http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_LaTeX_Letter_2Col.zip" target="_blank" title="Template files for LATEX."><span style="color:windowtext">LATEX</span></a><span style="color:#222222"> or <a href="http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_8.5x11x2.zip" target="_blank" title="Template files for WORD."><span style="color:windowtext">WORD</span></a>can
 be downloaded here. All papers will be peer reviewed by two or three pc members. Submitting a paper to the symposium means that if the paper is accepted, at least one author should register to <a href="http://www.swinflow.org/confs/bdcloud2014/" target="_blank"><span style="color:windowtext">BDCloud
 2014</span></a> and attend the conference to present the paper.<o:p></o:p></span></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:115%">
<span style="color:#222222;mso-fareast-language:EN-US">------------------------------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:115%">
<span style="color:#222222;mso-fareast-language:EN-US">Publication of paper:<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:115%">
<span style="color:#222222;mso-fareast-language:EN-US">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.<o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">------------------------------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
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<span style="color:#222222;mso-fareast-language:EN-US">Important Dates:<o:p></o:p></span></p>
<p style="line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">Deadline for Paper Submission:             September 5, 2014 (extended, firm)<o:p></o:p></span></p>
<p style="line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">Notification of Acceptance:                   September 25, 2014<o:p></o:p></span></p>
<p style="line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">Camera Ready Copies:                           October 15, 2014<o:p></o:p></span></p>
<p style="line-height:115%"><span style="color:#222222;mso-fareast-language:EN-US">Registration Due:                                    October 15, 2014<o:p></o:p></span></p>
</td>
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<span style="color:#222222">------------------------------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
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<span style="color:black">General Chairs:</span><span style="color:#222222"><o:p></o:p></span></p>
<p style="background:white"><span style="color:black">Timos Sellis, RMIT University, Australia</span><span style="color:#222222"><o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Yanpei Chen, Cloudera, USA<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Rajkumar Buyya, University of Melbourne, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Jinjun Chen, University of Technology, Sydney, Australia<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white">
<span style="color:#222222">------------------------------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
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<span style="color:black">Program Committee Chairs:</span><span style="color:#222222"><o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Nazanin Borhan, University of Technology Sydney, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Xuyun Zhang, University of Technology Sydney, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Suraj Pandey, IBM Australia Research Lab, Australia<o:p></o:p></span></p>
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<span style="color:#222222">------------------------------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
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<span style="color:black">Program Committees:</span><span style="color:#222222"><o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Gunter Saake, University of Magdeburg, Germany<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Andreas Thor, University of Leipzig, Germany<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Javid Taheri, University of Sydney, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Amund Tveit, Memkite, Norway<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Soudip Roy Chowdhury, INRIA, Saclay, France<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Bahman Javadi, University of Western Sydney, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Paolo Trunfio, University of Calabria, Italy<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Chi Yang, University of Technology Sydney, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Liana Fong, IBM Research, USA<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Nikzad Babaii Rizvandi, University of Sydney, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Shipin Chen, CSIRO, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Roberto Di Pietro, Roma Tre University of Rome, Italy<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Jun-Ki Min, Korea university of technology, South Korea<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Ray C.C. Cheung, City University of Hong Kong, Hong Kong<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Hadi Mashinchi, Simavita, Australia<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Chao Wang, University of Science and Technology of China, China<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Hidemoto Nakada, AIST, Japan<o:p></o:p></span></p>
<p style="background:white"><span style="color:#222222">Boyu Zhang, University of Delaware, USA<o:p></o:p></span></p>
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