Workshop on Clusters, Clouds and Grids for Health

In conjunction with CCGrid 2014 - 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 26-29, 2014, Chicago, IL, USA

Program May 26, 8:30h-17:30h at Hyatt Regency Chicago, 151 East Wacker Drive

The workhop is jointly held as a full-day event together with the First International Workshop on Cloud For Bio C4Bio. The participation in the workshops is included in the full CCGrid 2014 conference fees. One-day workshop-only registration is possible on the main conference's registration site.

Welcome and Keynotes
  8:45 -   9:00 Welcome and Introduction by the Workshop Chairs
  9:00 - 10:00 Keynote CCGrid-Health: Robert Grossman
Biomedical Clouds and Biomedical Data Commons And Why They Are Changing Health Care Research
10:00 - 10:30 Keynote C4Bio: Jesus Carretero
Sustainable Ultrascale Computing Systems: Applications in Biomedicine and Bioengineering
Coffee Break
CCGrid-Health Session
11:00 - 12:30 Global Initiative for Sentinel e-Health Network on Grid (GINSENG), Medical data integration and semantic developments for epidemiology
Sébastien Cipière, Guillaume Ereteo, Alban Gaignard, Nouha Boujelben, Sébastien Gaspard, Vincent Breton, Frédéric Cervenansky, David Hill, Tristan Glatard, David Manset, Johan Montagnat, Jérôme Revillard and Lydia Maigne.
Extending XNAT towards a Cloud-based Quality Assessment Platform for Retinal Optical Coherence Tomographies
Jie Wu, Christoph Jansen, Maximilian Beier, Michael Witt and Dagmar Krefting.
Distributed Detection of Cancer Cells in Cellular Spike Streams
Abdul Hafeez, M. Mustafa Rafique and Ali R. Butt.
Lunch Break
C4Bio Session 1
13:30 - 15:00 Accelerating Comparative Genomics Workflows in a Distributed Environment with Optimized Data Partitioning
Integration of Clustering and Multidimensional Scaling to Determine Phylogenetic Trees as Spherical Phylograms Visualized in 3 Dimensions
A Survey of Approches and Frameworks to Carry out Genomic Data Analysis on the Cloud
A storage policy for a hybrid federated cloud platform executing bioinformatics applications
Coffee Break
C4Bio Session 2
15:30 - 16:30 A Performance Evaluation of Sequence Alignment Software in Virtualized Environments
From scripted HPC-based NGS pipelines to workflows on the cloud
Evaluation of the feasibility of making large-scale X-ray tomography reconstructions on clouds
16:30 - 17:30 Conclusions and Closing


Medical research is currently facing the Big Data wave. High resolution digital images, genomics data, and the vast amount of medical data resources on-line (medical reports, clinical tests, biology samples, large amounts of structured and unstructured text data...) lead to an unprecedented demand for large-scale data management and analysis. This new situation demands appropriate IT-infrastructures, where medical data can be processed within an acceptable timespan – reaching from minutes in health-care applications to days in large-scale research projects. Large-scale distributed IT-systems such as Grids, Clouds and Big-Data-Environments are promising to address clinical and medical research community requirements. They allow for significant reduction of computational time for running large experiments, for speeding-up the development time for new algorithms, for increasing the availability of new methods for the research community, and for supporting large-scale multi-centric collaborations.

However, specific challenges in the employment of such systems for medical applications such as security, reliability and user-friendliness, often impede straightforward adoption of existing solutions from other application domains.

This workshop aims at bringing together developers of medical applications and researchers in the field of distributed IT systems. On the one hand, it addresses researchers who are already employing distributed infrastructure techniques in medical applications, in particular scientists developing data- and compute-intensive medical applications that include multi-data studies, large-scale parameter scans or complex analysis pipelines. On the other hand, it addresses computer scientists working in the field of distributed systems interested in bringing new developments into medical applications.

The goals are to exchange and discuss existing solutions and latest developments in both fields, and to gather an overview of challenges (technologies, achievements, gaps, roadblocks). The workshop further intends to identify common requirements to lead future developments in collaboration between Health and Computing Sciences, and to collaboratively explore new ideas and approaches to successfully apply distributed IT-systems in translational research, clinical intervention, and decision-making.

Keynote Speaker: Robert Grossmann

Submission closed

Topics of Interest

Contributions are expected but not restricted to the following topics:

  • Detailed application use-cases highlighting achievements and roadblocks
  • Exploitation of distributed IT resources for HealthCare and research applications, for example medical imaging, disease modeling, bioinformatics, Public health informatics, drug discovery, clinical trials
  • Service and/or algorithm design and implementation applicable to medical applications
  • Error handling and fault tolerance
  • Distributed and heterogeneous medical data management
  • Big Medical Data applications and solutions
  • Data privacy, security and access control
  • Development environments for distributed applications
  • Scientific gateways and user environments targeting distributed medical applications
  • Dedicated distributed infrastructures and HPC systems
  • Interoperability for exchanging data, algorithms and analysis pipelines
  • Success stories and show stoppers

Submission Guidelines

Authors are asked to prepare their manuscripts according to the IEEE format for conference proceedings.

The maximum number of pages is 10 (letter size).

The initial submission needs to be in pdf format.

Manuscripts must be submitted to the submission online system EasyChair no later than the indicated submission deadline. Please register for an account as author if you do not already have one. If you cannot access the submission website or have difficulties completing your submission, please contact the organization committee for assistance.

All papers will be reviewed by at least 3 independent reviewers from the international program committee. Papers will be selected based on their originality, their interest for the research community, the quality of the use-case description, the description of the technical solution, the impact of the application and/or technical description and the status of the work.

Selected papers will be presented at the workshop and published in the CCGrid conference proceedings.

Programme Committee

  • Daniele D’Agostino, Institute for Applied Mathematics and Information Technologies, Genova, Italy
  • Christian Barillot, CNRS / IRISA, France
  • Ignacio Blanquer, Universidad Politecnica de Valencia, Spain
  • Steve Brewer, University of Southampton, UK
  • Ian Cointepas, CEA, France
  • Scott Emrich, University of Notre Dame, IN, USA
  • Alban Gaignard, CNRS, France
  • Sandra Gesing, U. Notre Dame, IN, USA
  • Tristan Glatard, CNRS, France
  • Aaron Golden, A. Einstein College of Medicine, NY, USA
  • Ron Kikinis, Harvard Medical School, USA
  • Dagmar Krefting, University of Applied Sciences Berlin, Germany
  • Jens Krüger, University of Tübingen, Germany
  • Shantenu Jha, Rutgers School of Engineering, USA
  • Yannick Legré,, Netherlands
  • Ivan Merelli, Institute for Biomedical Technologies, Milano, Italy
  • Luciano Milanesi, Institute of Biomedical Technologies, Segrate, Italy
  • Johan Montagnat, CNRS/I3S, France
  • Ralph Müller-Pfefferkorn, TU-Dresden, Germany
  • Jarek Nabrzyski, University of Notre Dame, IN, USA
  • Silvia Olabarriaga, AMC / University of Amsterdam, Netherlands
  • Horacio Pérez-Sánchez, Catholic University of Murcia (UCAM), Murcia, Spain
  • Richard Sinnott, University of Melbourne, Australia
  • Jonathan Silverstein, CCRI, NorthShore University HealthSystem, USA
  • Tony Solomonides, CCRI, NorthShore University HealthSystem, USA
  • James Taylor, Emory University, USA