[Sigmetrics] CFP: The 2018 IEEE International Congress on Big Data (IEEE BigData Congress 2018)
Patrick.Hung at uoit.ca
Wed Dec 6 00:54:57 EST 2017
Apology for cross-postings. Please send it to interested colleagues and students. Thanks!
***** Call For Papers *****
The 2018 IEEE International Congress on Big Data (IEEE BigData Congress 2018)
2018 IEEE World Congress on Services
JULY 2 - 7, 2018, SAN FRANCISCO, USA
2018 IEEE International Congress on Big Data (IEEE BigData Congress 2018) aims to provide an international forum for both researchers and engineers in academia and industry to present their latest research findings and practice on major and emerging topics in Big Data.
We also define the technical scope of big data research broadly from the 5V perspective. In addition to the traditional definition of big volume and high velocity, we also encourage submissions that describe techniques and tools for handling big variety and high veracity.
Technical topics of interest include but are not limited to the following:
Big Data Models and Algorithms
- Foundational Models for Big Data
- Algorithms and Programming Techniques for Big Data Processing
- Big Data Analytics and Metrics
Big Data Architectures
- Cloud Computing Techniques for Big Data
- Big Data as a Service
- Big Data Open Platforms
Big Data Management
- Big Data Persistence and Preservation
- Big Data Quality and Provenance Control
- Big Data Storage and Retrieval
Big Data Security and Privacy
- Big Data System Security and Integrity
- Big Data Information Security
- Privacy-Preserving Big Data Analytics
- Usable Security and Privacy for Big Data
Quality of Big Data Services
- Big Data Service Performance Evaluation
- Big Data Service Reliability and Availability
- Real-Time Big Data Services
Big Data Science and Optimization
- Usage of Big Data Science for Optimization
- Usage of Optimization for Big Data Science
- Big Data Science for Operational Research
Big Data Mining and Visualization
- Algorithms and Systems for Big Data Search
- Distributed, and Peer-to-peer Search
- Machine Learning based on Big Data
- Visualization Analytics for Big Data
- Big Social Media Mining
Enabling Resources for Big Data Research
- Big Data for Enterprise, Government, and Society
- Case Studies of Big Data Value Creation
- Big Data for Science and Engineering Research
- Big Data Sets
- Big Data Application Benchmarks
- Survey of Big Data Research Papers and/or Big Data Sets
*** Manuscript Guidelines and Submission Information ***
Paper size and format: US Letter; Two-column format in the IEEE style.
Page limit: Up to 8 pages for peer review.
Abstract length: Approximately 1500 characters.
File format: Limit the size of a single PDF file to be 6 MB.
All submitted manuscripts will be peer-reviewed by at least 3 program committee members. Accepted papers with confirmed presentation will appear in the conference proceedings published by the IEEE Computer Society Press. Each conference/congress will publicly announce the winners of its Best Paper Award, and Best Student Paper Award. The authors of selected papers will be encouraged to submit extended and enhanced versions of their papers to the IEEE Transactions on Services Computing (TSC) and other suitable journals.
*** Key Dates ***
Paper submission (for peer review) due: January 10, 2018.
Notification to authors on the decisions on papers: March 15, 2018.
Camera-ready papers due: April 6, 2018.
Congress date: July 2 – 7, 2018.
BigData Congress 2018 General Chairs
Laurence T. Yang, St. Francis Xavier University, Canada
Francisco Herrera, University of Granada, Spain
BigData Congress 2018 Program Chairs
Shadi Ibrahim, Inria, France
Isaac Triguero, University of Nottingham, UK
Bingsheng He, National University of Singapore, Singapore
SERVICES Congress General Chair: Stephen S. Yau, Arizona State University, USA
IEEE-CS Technical Committee on Services Computing Chair: Rong N. Chang, IBM Research, USA
Elisa Bertino, Purdue University, USA
Carl K. Chang, Iowa State University, USA (Chair)
Rong N. Chang, IBM Research, USA
Peter Chen, Carnegie Mellon University. USA
Ernesto Damiani, University of Milan, Italy
Ian Foster, University of Chicago, USA
Dennis Gannon, Indiana University, USA
Michael Goul, Arizona State University, USA
Frank Leymann, University of Stuttgart, Germany
Hong Mei, Beijing Institute of Technology, China
Stephen S. Yau, Arizona State University, USA
Finance Chair: Shiyong Lu, Wayne State University, USA
Publication Chair: Katsunori Oyama, Nihon University, Japan
Patrick C. K. Hung, University of Ontario Institute of Technology, Canada
Eleanna Kafeza, Zayed University, UAE
Hamad Binsalleeh, Al-Imam Muhammad Ibn Saud Islamic University, Saudi Arabia
Jorge Roa, National Technological University, Santa Fe Regional Faculty, Argentina
Marcelo Fantinato, University of Sao Paulo, Brazil
Young Yoon, Hongik University, Korea
Radha Krishna Pisipati, Infosys, India
Uwe Breitenbücher, University of Stuttgart, Germany
Andrei V. Kopylov, Tula State University, Russia
Matogoro Jabera, University of Dodoma, Tanzania
Mohammad Aazam, Carnegie Mellon University, Qatar
Bhekisipho Twala, University of South Africa, South Africa
If you have any questions or queries on IEEE ICCC 2018, please send email to: ieeecs DOT bigdata AT gmail DOT com.
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