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C-Big 2012 : International Workshop on Collaborative Big Data


When Oct 14, 2012 - Oct 17, 2012
Where Pittsburgh, PA, USA
Submission Deadline Aug 1, 2012
Categories    databases   big data

Call For Papers

The ability to collect, integrate, and analyze data from large number of diverse data sources has increased the amount of data collected and processed by individual organizations on the order of several tens to hundreds of TB. This data can be efficiently utilized for better decision making, improved business intelligence, as well as for enabling new knowledge and services.

Collaborative generation and utilization of large quantities of data, either through crowdsourcing or through efforts of different organizations and groups creates notable research opportunities. The potential benefits of Collaborative Big Data, as well as new and unexpected challenges are still emerging. Managing, processing, and making sense of this data pose new challenges in storage, networking, database management, data mining, knowledge discovery, information security and privacy.

C-Big 2012 brings together researchers and practitioners from around the world to share their experiences on creating, managing, and handling Collaborative Big Data and its benefits.

The authors of selected papers from the workshop will be invited to submit extended versions of the papers to a special issue in Elsevier's Information Systems journal.

Topics of Interest
Topics of interest include (but are not limited to):

•Challenges for collaboration in Big Data utilization
•Network architectures and optimization for Big Data applications
•Collaborative Big Data storage and management in the cloud
•Collaborative Big Data reliability assessment
•Crowdsourcing of the Big Data utilization task
•Large-scale collective intelligence for data integration and data fusion
•Human-centered information fusion and sense-making
•Large-scale process monitoring for handling high data rates
•Big Data for network management
•Big Data and mobile networks including challenges in spectrum management and sensing
•Scalable collaborative graph data processing
•Big Data and social networking including location based social networks
•Security and privacy in Collaborative Big Data
•Applications of Collaborative Big Data
Important Dates
Paper Submission deadline: August 1, 2012
Notification to authors: September 1, 2012
Camera-ready submission deadline: September 10, 2012
Paper Submission
Submitted manuscripts should closely reflect the final papers as they will appear in the Proceedings, and should not exceed 8 pages in two-column IEEE proceeding format. We urge the authors to prepare their papers according to the Latex or Microsoft Word templates found at IEEE Author Digital Tool Box, under the "Template for Transactions" section.

All papers are refereed through a single blind process. All papers must be submitted online.

All submitted papers will be rigorously reviewed. All accepted papers will be made available in IEEE Xplore and external indexing services (DBLP database, ZB1Math/CompuServe, IO-Port, EI, Scopus, INSPEC, ISI proceeding - pending approval).

General Co-Chairs
Panos K. Chrysanthis, University of Pittsburgh, USA
Ling Liu, Georgia Tech, USA
Program Co-Chairs
Vladimir Zadorozhny, University of Pittsburgh, USA
Prashant Krishnamurthy, University of Pittsburgh, USA
Technical Program Committee
Karl Aberer, EPFL, Switzerland
Alessandra Sala, Alcatel-Lucent Bell Labs, Ireland
Sujata Banerjee, HP Labs, USA
Ioannis Broustis, Alcatel-Lucent, USA
Ugur Cetintemel, Brown University, USA
Keke Chen, Wright State University, USA
Alex Delis, University of Athens, Greece
Christian Jensen, Aarhus University, Denmark
Alexandros Labrinidis, University of Pittsburgh, USA
Harsha V. Madhyastha, University of California, Riverside, USA
Konstantinos Pelechrinis, University of Pittsburgh, USA
Suresh Singh, Portland State University, USA
Anil Vullikanti, Virginia Tech, USA
Ting Wang, IBM TJ Watson Center, USA
Christo Wilson, Northeastern University
Roberto Zicari, Goethe-Universität Frankfurt, Germany

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