posted by organizer: souhas || 631 views || tracked by 3 users: [display]

BigVim 2015 : Final Call for Papers- Workshop on Variety of Big Data in Motion (BigVim)- IEEE BigData 2015 - Santa Clara, California


When Nov 1, 2015 - Nov 1, 2015
Where Santa Clara, California, USA
Submission Deadline Sep 5, 2015
Notification Due Sep 20, 2015
Final Version Due Oct 5, 2015
Categories    big data   variety   data in motion

Call For Papers

Final Call for Papers
** Deadline is extended to September 05, 2015 **

Workshop on Variety of Big Data in Motion (BigVim)
A workshop of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015)
Oct 29 – Nov 01, 2015 @ Santa Clara, CA, USA

Big Data represents a significant increase of characteristics of data on a set of dimensions, usually described as the 5 Vs (Volume, Velocity, Variety, Value and Veracity). While much focus has been given to research and development of new technologies to address the volume aspect, more effort is required for the rest. This workshop aims at providing a venue to discuss efforts from research and industry to tackle the Variety dimension of BigData when it is in motion, such as the case dynamic data from sensors and similar sources.

Variety means that data comes from various domains and sectors (healthcare, e-gov, science, manufacturing, business, etc.), sources (enterprise databases, tweets, social media, etc.), and formats (structured, semi-structured, unstructured). It also means that Big Data can be served over a variety of hardware and software platforms, as well as networking protocols. It can also come in various rates and granularity. Variety also covers the heterogeneity in schema and semantics used to describe data.

Much of Big Data comes from real-time sources which continuously produce data, such as things in the Internet of Things. Many architectures to address Big Data are based on decoupled distributed paradigms, such as stream and event processing systems. Variety has always been a topic of interest in computing. However, Big Data presents unprecedented scales of variety and velocity. Tackling variety in such settings needs to be loosely coupled, reactive, and timely. Thus, the key question becomes: what are the most suitable models to tackle one or more types of variety in Big Data when it is in motion?

Research Topics

The workshop invites papers to discuss a set of key topics which include, but are not limited to:

- New concepts, types, and sources for variety in Big Data
- Models to quantify variety
- Domains for variety in motion such as Internet of Things, smart cities, etc.
- The effect of distribution and decoupling on variety
- The role of standards for handling variety for Big Data in motion
- Top-down and bottom-up semantic models for variety in motion including ontologies, statistical and vector space semantics, etc.
- Benchmarking Big Data variety approaches for real-time systems
- Paradigms for variety in motion including decoupled event processing, search, topic detection, event recognition, etc.
- Architectures for tackling variety leveraging Hadoop, Cassandra, MongoDB, etc.


All papers accepted by the workshop will be included in the IEEE Big Data 2015 conference ( proceedings as well and archived in IEEE Xplore digital library. We are also looking for opportunities to invited extended version of workshop to be published in other journals and book chapters.


Professor Kien A. Hua, University of Central Florida, USA, will give a kenote on the NASA's IoT application for spaceport design, based on his project collaboration with NASA.
The keynote will discuss: the impact of video streaming on IoT applications, and possible solutions, ThingStore - Boolean architecture for IoT, A meeting room for IoT, and a spaceport application of ThingStore at NASA.

Important Dates

September 05, 2015 (Extended): Due date for workshop papers submission
September 20, 2015: Notification of paper acceptance to authors
October 5, 2015: Camera-ready of accepted papers
November 01, 2015: Workshop


Papers are accepted through the online submission system. Full papers can be up to 9 pages in length. We also encourage submission of short papers (up to 4 pages) reporting work in progress.

Please submit a full-length paper (up to 9 page IEEE 2-column format) or a short paper (up to 4 page IEEE 2-column format) through the online submission system

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines.

Formatting Instructions:
8.5" x 11" (DOC (, PDF (
LaTex Formatting Macros (

Workshop Co-Chairs

- Souleiman Hasan (Insight Centre for Data Analytics at the National University of Ireland, Galway)
- Edward Curry (University College Dublin (UCD), Ireland)

Program Committee

- Minh Dao-Tran (Vienna University of Technology, Austria)
- David Eyers (University of Otago, New Zealand)
- André Freitas (University of Passau, Germany)
- Kien A. Hua (University of Central Florida, USA)
- Boris Koldehofe (University of Stuttgart, Germany)
- Léon Lim (Télécom SudParis, France)
- Joao Moreira (University of Twente, Netherlands)
- Yongrui Qin (University of Adelaide, Australia)
- Dominik Riemer (FZI Research Center for Information Technology, Germany)
- Vinay Setty (Max-Planck-Institut für Informatik, Germany)
- Michael Sheng (University of Adelaide, Australia)
- Amir Taherkordi (University of Oslo, Norway)
- Adnan Tariq (University of Stuttgart, Germany)
- Jun Ye (University of Central Florida, USA)
- Kaiwen Zhang (University of Toronto, Canada)


Please address queries related to this call to Souleiman Hasan, Email: souleiman(dot)hasan(at)insight(dash)centre(dot)org

Related Resources

MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
IJE 2016   International Journal of Education
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
IEEE BigComp 2017   [Deadline Extension Oct 21, 2016] 2017 IEEE International Conference on Big Data and Smart Computing
Big Data- ADDS 2017   Special Issue on Big Data Analytics & Data-Driven Science
EnGeoData - JDSA 2017   Special Issue on Environmental and Geospatial Data Analytics - International Journal of Data Science and Analytics, Springer
ESANN 2017   25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
SI: Digital Forensics 2017   Call for Papers for Special Issue on Digital Forensics for IEEE S&P magazine
BigDataSecurity 2017   The 3rd IEEE International Conference on Big Data Security on Cloud
IPM 2017   Special Issue: In (Big) Data we trust: Value Creation in Knowledge Organizations