[hpc-announce] Extended CFP: BDSE2013 (Big Data Science and Engineering)

Peter Coetzee peter at coetzee.org
Thu Jul 18 12:49:25 CDT 2013

Sent from my phone; please pardo pool km LPP kill km ko k müh oxn the typos
and brevity.
On 18 Jul 2013 18:30, "Chang Liu" <changliu.aus at gmail.com> wrote:

> [Apologies if you got multiple copies of this email. If you'd like to
> opt out of these announcements, information on how to unsubscribe is
> available at the bottom of this email.]
> Extended CFP:
>  As requested by many authors, the submission deadline has been extended
> to August 18, 2013 (firm).
> The 2013 IEEE International Conference on Big Data Science and Engineering
> (BDSE2013), 3-5 December 2013, Sydney, Australia.
> Website: http://www.swinflow.org/confs/bdds2013/
> Important dates:
> Submission Deadline: August 18, 2013 (extended, firm)
> Authors Notification: September 15, 2013
> Final Manuscript Due: September 30, 2013
> Submissions:
> http://www.swinflow.org/confs/bdds2013/submission.htm
> Publications
> All accepted papers will appear in the proceedings published by IEEE
> Computer Society (EI indexed). Selected papers will be recommended to
> special issues of Concurrency and Computation: Practice and Experience;
> Journal of Network and Computer Applications, Personal and Ubiquitous
> Computing, Journal of Systems and Software, Journal of Computer and System
> Sciences, and IEEE Transactions on Emerging Topics in Computing (special
> issue on Big Data).
> ------------
> Introduction
> Big data is an emerging paradigm applied to datasets whose size is beyond
> the ability of commonly used software tools to capture, manage, and process
> the data within a tolerable elapsed time. Such datasets are often from
> various sources (Variety) yet unstructured such as social media, sensors,
> scientific applications, surveillance, video and image archives, Internet
> texts and documents, Internet search indexing, medical records, business
> transactions and web logs; and are of large size (Volume) with fast data
> in/out (Velocity). More importantly, big data has to be of high value
> (Value). Various technologies are being discussed to support the handling
> of big data such as massively parallel processing databases, scalable
> storage systems, cloud computing platforms, and MapReduce.  Distributed
> systems is a classical research discipline investigating various
> distributed computing technologies and applications such as cloud computing
> and MapReduce. With new paradigms and technolog!
>  ies, distributed systems research keeps going with new innovative
> outcomes from both industry and academia. For example, wide deployment of
> MapReduce is a distributed programming paradigm and an associated
> implementation to support distributed computing over large datasets on
> cloud.
> BDSE (Big Data Science and Engineering) is created to provide a prime
> international forum for both researchers, industry practitioners and
> environment experts to exchange the latest fundamental advances in the
> state of the art and practice of Big Data, Distributed Systems and broadly
> related areas.
> BDSE 2013 is the next event in a series of highly successful International
> Conferences, previously held as BigDataMR-12 (Xiangtan, China November
> 2012), AHPCN-12 (Bradford, UK, June 2012), AHPCN-11 (Banff, Canada,
> September 2011), AHPCN-10 (Melbourne, Australia, September 2010), AHPCN-09
> (Seoul, Korea, June 2009), AHPCN-08 (Dalian, China, September 2008).
> Scope and Topics
> The objective of the conference is to invite authors to submit original
> manuscripts that demonstrate and explore current advances in all aspects of
> big data and distributed computing. The symposium solicits novel papers on
> a broad range of topics, including but not limited to:
> ¡¤ Big Data theory, applications and challenges
> ¡¤ Recent development in Big Data and MapReduce
> ¡¤ Big Data mining and analytics
> ¡¤ Big Data visualization
> ¡¤ Large data stream processing on cloud
> ¡¤ Large incremental datasets on cloud
> ¡¤ Distributed and federated datasets
> ¡¤ NoSQL data stores and DB scalability
> ¡¤ Big Data sharing and privacy preserving
> ¡¤ Security, trust and risk in Big Data
> ¡¤ Big Data placement, scheduling, and optimization
> ¡¤ Extension of the MapReduce programming model
> ¡¤ Distributed file systems for Big Data
> ¡¤ MapReduce for Big Data processing, resource scheduling and SLA
> ¡¤ MapReduce on heterogeneous distributed environments
> ¡¤ Performance characterization, evaluation and optimization
> ¡¤ Simulation and debugging of MapReduce and Big Data systems and tools
> ¡¤ Volume, Velocity, Variety and Value of Big Data (4V)
> ¡¤ Multiple source data processing and integration with MapReduce
> ¡¤ Storage and computation management of Big Data
> ¡¤ Large-scale scientific workflow in support of Big Data processing
> ¡¤ Algorithms and theory for distributed systems
> ¡¤ Data management and distributed data systems
> ¡¤ Security, privacy, fault tolerance and reliability in distributed
> systems
> ¡¤ Distributed ad hoc, ubiquitous and pervasive systems
> ¡¤ Mobile systems and development for handheld devices such as mobile
> phones
> ¡¤ Distributed system architectures and software such as runtime systems,
> multicore programming languages, performance modelling and evaluation,
> programming environments and tools, and etc.
> ¡¤ Distributed computing applications such as management of big data,
> scientific applications, social media applications, web applications and
> mobile computing
> Submission Guidelines
> Submit your paper(s) in PDF file at the BDSE2013 submission site:
> http://www.swinflow.org/confs/bdds2013/submission.htm. Papers should be
> limited up to 8 pages in IEEE CS format. The template files for LATEX or
> WORD 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 BDSE2013 and
> attend the conference to present the paper.
> Publications
> All accepted papers will appear in the proceedings published by IEEE
> Computer Society (EI indexed). Selected papers will be recommended to
> special issues of Concurrency and Computation: Practice and Experience;
> Journal of Network and Computer Applications, Personal and Ubiquitous
> Computing, Journal of Systems and Software, Journal of Computer and System
> Sciences, and IEEE Transactions on Emerging Topics in Computing.
> Honorary Chairs
>     Ramamohanarao Kotagiri, The University of Melbourne, Australia
>     Albert Zomaya, The University of Sydney, Australia
> General Chairs
>     Jian Pei, Simon Fraser University, Canada
>     Xian-He Sun, Illinois Institute of Technology, USA
>     Xuemin Lin, University of New South Wales, Australia
> General Vice Chairs
>     Jiannong Cao, Poly. University Hong Kong, China
>     Zahir Tari, RMIT University, Australia
>     Rajkumar Buyya, The University of Melbourne, Australia
> Program Chairs
>     Jinjun Chen, University of Technology, Sydney, Australia
>     Surya Nepal, CSIRO, Australia
>     Massimo Cafaro, University of Salento, Lecce, Italy
> Workshop Chairs
>     Rajiv Rajan, CSIRO, Australia
>     Xuyun Zhang, University of Technology Sydney, Australia
> Steering Committee
>     Albert Zomaya, The University of Sydney, Australia
>     Ivan Stojmenovic, University of Ottawa, Canada
>     Geoffrey Fox, Indiana University, USA
>     Runhe Huang, Hosei University, Japan
>     Jinjun Chen, University of Technology Sydney, Australia (Chair)
>     Schahram Dustdar, Vienna University of Technology, Austria
>     Jian Pei, Simon Fraser University, Canada
>     Manish Parashar, Rutgers University, USA
>     Minyi Guo, Shanghai Jiaotong University, China
>     Jie Wu, Temple University, USA
>     Laurence T. Yang, St Francis Xavier University, Canada (Chair)
> ********************************************************************************
> The hpc-announce mailing list has been setup to have a common mailing
> list to share information with respect to upcoming HPC related
> events. You are included in this mailing list based on your
> participation or interest in a previous HPC conference or other event.
> The purpose for providing a single mailing list is to allow
> participants to easily identify such emails, and handle them
> appropriately. Some options include:
> 1. If you feel that the number of such emails is too many, filter them
> to less-frequently-read folders in your email client.
> 2. Change your subscription to a digest option
> (https://lists.mcs.anl.gov/mailman/listinfo/hpc-announce) which will
> consolidate emails sent that week into a single summary email.
> 3. Finally, if you do not wish to receive any emails from hpc-announce,
> you can unsubscribe from the mailing list
> (https://lists.mcs.anl.gov/mailman/listinfo/hpc-announce). Once
> unsubscribed, we guarantee that you will not be added back in through
> participation in a different HPC related conference or event. You will
> need to send an email to hpc-announce-owner at mcs.anl.gov to be added
> back on.
> If you need help with any of the above, please email us at
> hpc-announce-owner at mcs.anl.gov.
> ********************************************************************************
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.mcs.anl.gov/mailman/private/hpc-announce/attachments/20130718/014032e0/attachment.html>

More information about the hpc-announce mailing list