Linux Virtualization - Jun 2015 - CFP: 2nd IEEE/ACM International Symposium on Big Data Computing (BDC) 2015 -- co-located with IEEE/ACM UCC 2015

CALL FOR PAPERS

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2nd IEEE/ACM International Symposium on Big Data Computing (BDC) 2015
http://datasys.cs.iit.edu/events/BDC2015/
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December 7-10, 2015
St. Raphael Resort, Limassol, Cyprus
Co-located with 8th IEEE/ACM International Conference on Utility and 
Cloud Computing
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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 modeling, 
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 International Symposium on Big Data Computing (BDC) 2015 -- held in 
conjunction with 8th IEEE/ACM International Conference on Utility and 
Cloud Computing (UCC) 2015, December 7-10, 2015, St. Raphael Resort, 
Limassol, Cyprus, 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, and workshops.

TOPICS:
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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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Papers:
* Papers Due: 03 July, 2015
* Author Notifications: 21 August, 2015
* Final Papers Due: 21 September, 2015

Posters
* Proceedings-published posters due: 28 August, 2015
* Notification of acceptance: 18 September, 2015
* Camera-ready posters due: 21 September, 2015

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 following templates (latex, pdf, doc). 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 2015 paper submission system 
(https://www.easychair.org/conferences/?conf=bdc2015).

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.

Selected papers from BDC 2015 will be invited to extend and submit to 
the Special Issue on Big Data Computing in the IEEE Transaction on Cloud 
Computing.

ORGANIZATION
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General Chairs
* Rajkumar Buyya, University of Melbourne, Australia
* George Angelos Papadopoulos,University of Cyprus, Cyprus

Program Committee Chairs (bdc15-chairs at datasys.cs.iit.edu)
* Ioan Raicu, Illinois Institute of Technology & Argonne National 
Laboratory, USA
* Amy Apon, National Science Foundation, USA
* Manish Parashar, Rutgers University, USA

Program Committee Vice Chairs
* Omer Rana, Cardiff University, UK
* Ilkay Altintas, University of California, San Diego, USA

Program Committee Members
* Alexander Rasin, DePaul University, USA
* Alok Choudhary, Northwestern University, USA
* Abhishek Chandra, University of Minnesota, USA
* Andre Luckow, BMW IT Research Center, USA
* Daniel Katz, University of Chicago and Argonne National Lab, USA
* Dongfang Zhao, Illinois Institute of Technology, USA
* Douglas Thain, University of Notre Dame, USA
* Florian Schintke, Zuse Institute Berlin, Germany
* Giuliano Casale, Imperial College London, UK
* Jaliya Ekanayake, Microsoft, USA
* Jessica Chen-Burger, Heriot-Watt University, UK
* Judy Qiu, Indiana University, USA
* Justin Wozniak, Argonne National Lab, USA
* Ke Wang, Illinois Institute of Technology, USA
* Kesheng (John) Wu, Lawrence Berkeley National Lab, USA
* Kyle Chard, University of Chicago and Argonne National Lab, USA
* Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory, USA
* Marco Netto, IBM Research, Brazil
* Matei Ripeanu, University of British Columbia, Canada
* Matei Stroila, HERE, USA
* Nagiza Samatova, North Carolina State University, USA
* Paolo Missier, Newcastle University, UK
* Paul Watson, NewCastle University, UK
* Peter Burnap, Cardiff University, UK
* Rahul    Potharaju, Microsoft, USA
* Rajkumar Kettimuthu, Argonne National Lab and University of Chicago, USA
* Robert Ross, Argonne National Lab, USA
* Samer Al-Kiswany, University of British Columbia, Canada
* Scott    Klasky, Oak Ridge National Lab, USA
* Wei Tang, Argonne National Lab, USA
* Weidong Shi, University of Houston, USA
* Xiaolin (Andy) Li, University of Florida, USA
* Yanlong Yin, Bloomberg, USA
* Yong Chen, Texas Tech University, USA
* Yong Zhao, University of Electronic Science and Technology, China
* Zhao Zhang, University of California, Berkeley, USA

Cyber Co-Chairs
* Dongfang Zhao, Illinois Institute of Technology, USA

Local Organizing Committee
* George Angelos Papadopoulos, University of Cyprus, Cyprus

SPONSORSHIP
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IEEE*, ACM*, and IIT*
*Final approval on sponsorship is pending.


-- 
================================================================Ioan Raicu,
Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
================================================================Data-Intensive
Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
================================================================Editor: IEEE
TCC, Springer Cluster, Springer JoCCASA
Chair:  IEEE/ACM MTAGS, ACM ScienceCloud
================================================================Office:  
1-312-567-5704
Email: iraicu at cs.iit.edu
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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