Call for Papers
IEEE/ACM International Symposium on Big Data Computing (BDC) 2014
December 8-11, 2014, London, UK
http://www.cloudbus.org/bdc2014
In conjunction with:
7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014)
Sponsored by: IEEE Computer Society and ACM (Association for Computing Machinery)
Introduction
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Rapid advances in digital sensors, networks, storage, and computation along
with their availability at low cost is leading to the creation of huge
collections of data -- dubbed as Big Data. This data has the potential for
enabling new insights that can change the way business, science, and
governments deliver services to their consumers and can impact society as a
whole. This has led to the emergence of the Big Data Computing paradigm
focusing on sensing, collection, storage, management and analysis of data from
variety of sources to enable new value and insights.
To realize the full potential of Big Data Computing, we need to address
several challenges and develop suitable conceptual and technological solutions
for dealing them. These include life-cycle management of data, large-scale
storage, flexible processing infrastructure, data modelling, scalable machine
learning and data analysis algorithms, techniques for sampling and making
trade-off between data processing time and accuracy, and dealing with privacy
and ethical issues involved in data sensing, storage, processing, and actions.
The IEEE/ACM International Symposium on Big Data Computing (BDC) 2014 -- held
in conjunction with 7th IEEE/ACM International Conference on Utility and Cloud
Computing (UCC 2014), December 8-11, 2014, London, UK, aims at bringing
together international researchers, developers, policy makers, and users and
to provide an international forum to present leading research activities,
technical solutions, and results on a broad range of topics related to Big
Data Computing paradigms, platforms and their applications. The conference
features keynotes, technical presentations, posters, workshops, tutorials, as
well as competitions featuring live demonstrations.
Topics
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Topics of interest include, but are not limited to:
I. Big Data Science
* Analytics
* Algorithms for Big Data
* Energy-efficient Algorithms
* Big Data Search
* Big Data Acquisition, Integration, Cleaning, and Best Practices
* Visualization of Big Data
II. Big Data Infrastructures and Platforms
* Programming Systems
* Cyber-Infrastructure
* Performance evaluation
* Fault tolerance and reliability
* I/O and Data management
* Storage Systems (including file systems, NoSQL, and RDBMS)
* Resource management
* Many-Task Computing
* Many-core computing and accelerators
III. Big Data Security and Policy
* Management Policies
* Data Privacy
* Data Security
* Big Data Archival and Preservation
* Big Data Provenance
IV. Big Data Applications
* Scientific application cases studies on Cloud infrastructure
* Big Data Applications at Scale
* Experience Papers with Big Data Application Deployments
* Data streaming applications
* Big Data in Social Networks
* Healthcare Applications
* Enterprise Applications
IMPORTANT DATES
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* Abstracts Due: September 15th, 2014
* Papers Due: September 22nd, 2014
* Notification of Acceptance: October 15th, 2014
* Camera Ready Papers Due: October 31st, 2014
Note: Those who submit an abstract by the deadline will be given 1 week to upload
the final paper.
PAPER SUBMISSION
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Authors are invited to submit papers electronically. Submitted manuscripts
should be structured as technical papers and may not exceed 10 letter size
(8.5 x 11) pages including figures, tables and references using the IEEE format
for conference proceedings (print area of 6-1/2 inches (16.51 cm) wide by 8-7/8
inches (22.51 cm) high, two-column format with columns 3-1/16 inches (7.85 cm)
wide with a 3/8 inch (0.81 cm) space between them, single-spaced 10-point Times
fully justified text). Submissions not conforming to these guidelines may be
returned without review. Authors should submit the manuscript in PDF format and
make sure that the file will print on a printer that uses letter size (8.5 x 11)
paper. The official language of the meeting is English. All manuscripts will be
reviewed and will be judged on correctness, originality, technical strength,
significance, quality of presentation, and interest and relevance to the
conference attendees. Papers conforming to the above guidelines can be
submitted through the BDC 2014 paper submission system
(https://www.easychair.org/conferences/?conf=bdc2014).
Submitted papers must represent original unpublished research that is not
currently under review for any other conference or journal. Papers not
following these guidelines will be rejected without review and further action
may be taken, including (but not limited to) notifications sent to the heads
of the institutions of the authors and sponsors of the conference. Submissions
received after the due date, exceeding length limit, or not appropriately
structured may also not be considered. Authors may contact the conference PC
Chair for more information. The proceedings will be published through the IEEE
Computer Society Press, USA and will be made online through the IEEE Digital
Library. Selected papers from BDC 2014 will be invited to extend and submit to
the Special Issue on Many-Task Computing in the Cloud in the IEEE Transaction
on Cloud Computing (http://datasys.cs.iit.edu/events/TCC-MTC15/CFP_TCC-MTC15.pdf)
CHAIRS & COMMITTEES
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General Co-Chairs:
* Rajkumar Buyya, University of Melbourne, Australia
* Divyakant Agrawal, University of California at Santa Barbara, USA
Program Co-Chairs:
* Ioan Raicu, Illinois Institute of Technology and Argonne National Lab., USA
* Manish Parashar, Rutgers, The State University of New Jersey, USA
Area Track Co-Chairs:
* Big Data Science
o Omer F. Rana, Cardiff University, UK
o Ilkay Altintas, University of California, San Diego, USA
* Big Data Infrastructures and Platforms
o Amy Apon, Clemson University, USA
o Jiannong Cao, Honk Kong Polytechnic University
* Big Data Security and Policy
o Bogdan Carbunar, Florida International University
* Big Data Applications
o Dennis Gannon, Microsoft Research, USA
Cyber Chair
* Amir Vahid, University of Melbourne, Australia
Publicity Chairs
* Carlos Westphall, Federal University of Santa Catarina, Brazil
* Ching-Hsien Hsu, Chung Hua Univ., Taiwan & Tianjin Univ. of Technology, China
* Rong Ge, Marquette University, USA
* Giuliano Casale, Imperial College London, UK
Organizing Chair:
* Ashiq Anjum, University of Derby, UK
--
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Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
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Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
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Editor: IEEE TCC, Springer Cluster, Springer JoCCASA
Chair: IEEE/ACM MTAGS, ACM ScienceCloud
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Cel: 1-847-722-0876
Office: 1-312-567-5704
Email: [log in to unmask]
Web: http://www.cs.iit.edu/~iraicu/
Web: http://datasys.cs.iit.edu/
LinkedIn: http://www.linkedin.com/in/ioanraicu
Google: http://scholar.google.com/citations?user=jE73HYAAAAAJ
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