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

Jinjun Chen jinjun.chen at gmail.com
Wed Jun 5 14:00:28 CDT 2013

Call for papers:
The 2nd 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: July 15, 2013
Authors Notification: September 15, 2013
Final Manuscript Due: September 30, 2013

Submission site:

Special Issues:
Distinguised papers will be recommeded to special issues in 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.


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 technologies, 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. Following its success
in 2012 as BigDataMR2012 workshop, this conference aims at providing a
forum for researchers, practitioners and developers from different
background areas such as data intensive computing, computational science,
cloud computing, distributed computing and database area to exchange the
latest experience, research ideas and synergic research and development on
fundamental issues and applications about big data and distributed systems.
The symposium solicits high quality research results in all related areas.

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 and broadly related areas.

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. 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
· Big Data Infrastructure and Cloud
· 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 BDSE2012 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.

All accepted papers will appear in the proceedings published by IEEE
Computer Society (EI indexed). Distinguised papers will be recommeded
to special issues in 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
    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)
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