CloudVis 2011 - CloudVis 2011 : First Intl Workshop on Data Visualisation in the Cloud

In recent years, we have witnessed data explosion driven by new types of applications and devices; petabyte-scale archives are no longer a rare occurrence. Even traditional application domains have become data intensive. Fostering capabilities to extract value from large data sets is no longer the problem and desire of the big companies alone; government agencies, small and medium-sized enterprises and even individuals perceive value in data. Among other things, this shift is driven by the cost, scalability and availability benefits coming with the emergence and rapid adoption of cloud computing and massively parallel processing paradigms. Thus, access to large-scale computing facilities is no longer the main concern. Instead, access to data, integrating data silos across multiple domains and means to extract value from data become the key issues.

The analysis of massive data sets, commonly referred to as Big Data, is an important and challenging task as it reveals trends or patterns in the data including associations, correlations and/or exceptions. Such information is needed in order to turn collected data into knowledge. Visual analytics and visualisation techniques have been proven to be of great value in analysing and exploring large data sets. Interactive, graphical forms of data presentation can fosters new insights, enable the formation and validation of new hypotheses, and lead to better problem solving and knowledge extraction approaches. However, traditional visualisation methods (most of which have been developed 10 or more years ago) often cannot convey useful information to people because of limited canvas space and people's perception capabilities. Human perception (i.e., the precision of the eye and the ability of the human mind to process visual patterns) limits the number of perceptible pixels and therefore affects visual scalability directly; while canvas space or monitor resolution affects visual scalability. There is a need for a serious evaluation of existing techniques, or even, a proposal of a new paradigm of visualisation techniques. Such techniques must better enable humans to efficiently spot, interpret, and gain knowledge from extremely large data sets; that is, insights that may even be missed by large computation efforts in current data analytics techniques.

The CloudVis 2011 workshop will bring together researchers and practitioners from the areas of data visualisation, computer graphics, cloud / high-performance computing, and data-driven analytics. It aims to facilitate the exploration of using / combining approaches across domains in order to create effective visualisations techniques for which big data, intensive data analytics and high performance computing requirements are a necessity.

Topics of Interest

CloudVis 2011 solicits papers describing original research on both theoretical and practical aspects of data visualization in the context of cloud computing. Typical topics of research contributions include, but are not limited to:

Applications of data visualisation techniques (e.g., Search, Semantic Web, Social Web, Adaptive & Personalised Web Applications, SaaS, Business Analytics, etc);
Augmented-reality and cross-media interfaces;
Conceptual models for data visualisation and exploration;
Creating and transforming data to enable data visualisation;
Data filtering (normalizing, scaling, projection, grouping, averaging, etc.);
Data space vs. presentation / visualisation space;
Data visualisation for large screens and interactive tablets;
Data visualisation formats and best practises in using / choosing them;
Discussion of examples and popular methods / techniques in the context of big data and/or high-performance computing;
Distributed, real-time bid data visualisation;
Dynamic layout algorithms;
Explorative visualisation;
Exporting data visualisations (PDF, 3D mesh, API, etc.);
High-performance visualisation tools and libraries;
Interactive data visualisation;
Interfaces for large-scale data repositories search and exploration;
Many-to-many mappings: Color, coordinate system, size, space, topology, time;
Multi-dimensionality and mapping of inputs to outputs;
Presentation visualisation;
Quality, usability, effectiveness of data visualisation techniques;
Real-time data visualisation;
Signal-to-noise ratio, data cleaning, filtering, pre-visualisation data analysis;
Taxonomies and ontologies for data visualisation;
Tools / libraries / frameworks for big data visualisation;
Visualising data from multiple sources / cross domains;
Visualisation of highly dimensional data / data with multiple variants.

Paper Submission

CloudVis 2011 proceedings will be part of the IEEE CloudCom 2011 proceedings published by IEEE Computer Society.

Formatting Guidelines

This workshop will only accept for review original papers that have not been previously published. Papers should be formatted based on the IEEE Conference Style Template ( Download here in Word version or Latex version ) and must adhere to the following formatting requirements:

Limit of length are 6 pages for workshop papers.
Letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings (print area of 6-1/2 inches (16.51 cm) wide by 8-7/8 inches (22.51 cm) high, two-column format with columns 3-1/16 inches (7.85 cm) wide with a 3/8 inch (0.81 cm) space between them, single-spaced 10-point Times fully justified text).
Submissions not conforming to these guidelines may be returned without review. Authors should submit the manuscript in PDF format and make sure that the file will print on a printer that uses letter size (8.5 x 11) paper. The official language of the meeting is English.

Submission Guidelines

Submission to CloudVis 2011 will be electronically only. The online submission system is open for submissions now.

Important Dates

Abstract submission: August 25, 2011

Full paper submission: August 28, 2011

Author notification: September 21, 2011

Camera-ready paper submission: October 01, 2011

Author registration: October 01, 2011

Workshop: November 29 to December 01, 2011

Program Committee Chairs

Markus Kirchberg (Hewlett-Packard Labs, Singapore)

Ryan K L Ko (Hewlett-Packard Labs, Singapore)

Gary Lee Kee Khoon (Institute for High Performance Computing, Singapore)

Program Committee (to be extended)

Sara Comai, Politecnico di Milano, Italy
Chris Constantinou, Stanford University, USA
Chi-Wing Fu, Nanyang Technological University, Singapore
Alfred Inselberg, Tel Aviv University, Israel
Visakan Kadirkamanathan, University of Sheffield, UK
Kresimir Matkovic, VRVis Competence Center, Austria
Nathalie (Henry) Riche, Microsoft Research, USA
Alexei Sourin, Nanyang Technological University, Singapore
Alan Tan, Hewlett-Packard Labs, Singapore
William Chandra Tjhi, Institute for High Performance Computing, A*STAR, Singapore
Roland Yap, National University of Singapore, Singapore