International Workshop on
Collaborative Big Data (C-Big 2012)

In conjunction with the 8th IEEE International Conference on
Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2012)

October 14, 2012, Pittsburgh, Pennsylvania, United States

Call for Papers | Important Dates | Committee | Tentative Program | Keynote

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 August 15, 2012
• Notification to authors: September 1, 2012 September 15, 2012
• Camera-ready submission deadline: September 10, 2012 September 25, 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.

https://www.easychair.org/conferences/?conf=cbig2012

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).

Committees

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
• Sujata Banerjee, HP Labs, USA
• Ioannis Broustis, AT&T Labs Research, USA
• Ugur Cetintemel, Brown University, USA
• Keke Chen, Wright State University, USA
• Alex Delis, University of Athens, Greece
• Minos Garofalakis, Technical University of Crete, Greece
• Vanathi Gopalakrishnan, University of Pittsburgh, USA
• 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
• Alessandra Sala, Alcatel-Lucent Bell Labs, Ireland
• Suresh Singh, Portland State University, USA
• Anil Vullikanti, Virginia Tech, USA
• Ting Wang, IBM TJ Watson Center, USA
• Christo Wilson, Northeastern University, USA
• Roberto Zicari, Goethe-Universität Frankfurt, Germany

Tentative Program

Sunday, October 14, 2012
8:00 AM – 8:45 AM	Registration
8:50 AM – 9:00 AM	Opening Remarks
9:00 AM – 10:00 AM	Session 1: Keynote Address Mining Billion-Node Graphs - Patterns and Scalable Algorithms (slides) Prof. Christos Faloutsos
10:00 AM – 10:15 PM	Coffee Break
10:15 AM – 12:15 PM	Session 2: Industry Session OpenChorus : Building a Toolchest for Big Data Analytics (slides) Milind Bhandarkar, Chief Architect of Greenplum Labs, EMC Real-time analytics using Vertica Analytics Platform (slides) Shilpa Lawande and Stephen Walkauskas, Vertica Group, HP
12:15 PM – 1:30 PM	Lunch
1:30 PM – 3:00 PM	Session 3: Algorithms Using a Distributed Search Engine to Identify Optimal Product Sets for Use in an Outbreak Detection System Ruhsary Rexit, Fuchiang Tsui, Jeremy Espino, Sahawut Wesaratchakit, Ye Ye and Panos Chrysanthis Towards Efficient Query Processing on Massive Time-Evolving Graphs (slides) Arash Fard, Amir Abdolrashidi, Lakshmish Ramaswamy and John A. Miller Delta Extraction Optimization for View Maintenance in a Limited Collaborative Environment Zheng Lu, Haijun Liu and Peter Hyland
3:00 PM – 3:30 PM	Coffee Break
3:30 PM – 5:00 PM	Session 4: Architecture and Applications Biologically-inspired Network “Memory” for Smarter Networking Bassem Mokhtar and Mohamed Eltoweissy Efficient Processing of Models for Large-scale Shotgun Proteomics Data (slides) Himanshu Grover and Vanathi Gopalakrishnanp Robust Decision Engineering: Collaborative Big Data and its Application to International Development/Aid Steve Chan, Wesley Rhodes, Charles Atencio, Brent Ranalli, Anna Miao, Simone Sala, Stephen Serene, Sarah Rumbley, Lisa Sokol, Loren Gary, Caroline Kuo and Marc Clement

Keynote

Keynote Speaker: Prof. Christos Faloutsos, Carnegie Mellon University.

Mining Billion-Node Graphs - Patterns and Scalable Algorithms

Abstract

How do graphs look like? How do they evolve over time? How do rumors and viruses propagate on real graphs? We review some static and temporal 'laws', fast algorithms to spot deviations and outliers, and recent developments on virus propagation and scalable tensor analysis.

Biography

Prof. Faloutsos, ACM Fellow, has received the Presidential Young Investigator Award from the National Science Foundation (1989), the Research Contributions Award in ICDM 2006, the SIGKDD Innovations Award (2010), eighteen "best paper" awards (including two "test of time" awards), and four teaching awards. He has served as a member of the executive committee of SIGKDD, he has published over 200 refereed articles, 11 book chapters, and one monograph. He holds six patents and he has given over 30 tutorials and over 10 invited distinguished lectures. His research interests include data mining for graphs and streams, fractals, database performance, and indexing for multimedia and bio-informatics data. He is ranked among the top 50 nurturers in information technology.

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