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

From: Souleiman Hasan <souleiman.hasan@insight-centre.org>
Date: Fri, 28 Aug 2015 00:41:05 +0200
Message-ID: <CAK0rN58LUSc-fyT95vHzDU0w0xJ-pdLL1oSfPXZdPsSJyCUNgw@mail.gmail.com>
To: public-ldp@w3.org
Apologies for cross-posting

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)*
*Nov 01, 2015 @ Santa Clara, California, 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,
- 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,


All papers accepted by the workshop will be included in the IEEE Big Data
2015 conference (http://cci.drexel.edu/bigdata/bigdata2015/) 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

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 (
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:
Received on Thursday, 27 August 2015 22:42:08 UTC

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