FIRST INTERNATIONAL WORKSHOP ON CLOUD FOR BIO (C4Bio)
to be held as part of IEEE/ACM CCGrid 2014
Chicago, USA, May 26-29, 2014
http://www.arcos.inf.uc3m.es/~
BACKGROUND
----------------------
In the last 20 years, computational methods have become an important part of developing emerging technologies for the field of bioinformatics and biomedicine. Research areas such as biomodelling, molecular dynamics, genomics, neuroscience, cancer models, evolutionary biology, medical biology, biochemistry, biophysics, biotechnology, cell biology, nanobiotechnology, biological engineering, pharmacology, genetics therapy, or automatic diagnosis, rely heavily on large scale computational resources as they need to manage Tbytes or Pbytes of data with large-scale structural and functional relationships, TFlops or PFlops of computing power for simulating highly complex models, or many-task processes and workflows for processing and analyzing data.
As applications require more and more computational resources every day in order to increase the knowledge of biological and health processes, bio disciplines create new challenges of scale for computation, storage, and interpretation of petascale data that are difficult to solve with single clusters. Cloud computing has the potential to help solve these problems by offering a utility model based on highly flexible computing and storage capabilities and abstraction layers that allows overcoming many of the constraints present in dedicated systems. It may also increase research productivity by allowing sharing applications, tools, and algorithms in an easy way.
The aim of the workshop is to promote the synergies of the cloud computing and bio communities by exploring applications developed in clouds, cloud systems enhancements for bio, and new trends and needs shared between both communities. Thus, this workshop will feature articles that discuss the application of cloud computing to bioinformatics and biomedicine, including solutions to area problems and architectural adaptation of cloud systems to fit those problems.
TOPICS
-----------
Areas of interest of the workshop include, but are not limited to:
- Cloud-based bioinformatics applications
- Cloud-based biomedicine applications
- Cloud-based application in public health systems
- Modeling and simulation of complex biological processes
- Genomics and Molecular Structure evolution
- Molecular Dynamics
- Data intensive biomedical applications
- Clouds for big data manipulation in bioinformatics and biomedicine
- Ontologies and biomedical text mining using clouds
- Biological data mining and visualization using clouds
- Managing large scale biological and biomedical databases using clouds
- Visualization and analysis of biomedical images
- Integration and analysis of biomedical data
- Biosignals processing using clouds
- Computational Modeling and Data Integration
- Privacy issues for cloud-based biomedical applications
- Security challenges in big data and biomedicine
- Biocloud services and resource specification
- Cloud Computing architectures for bio*
- Data-centric versus computer-centric cloud architectures
- Hybrid infrastructures (cloud/physics) for bio applications.
- Resource provisioning for bioclouds
- Distributed cloud solutions
- Cloud solutions for biosensors and mobility
- Improved energy consumption of bio applications using clouds
- Programming paradigms and tools for bio-applications
SCHEDULE, IMPORTANT DATES
------------------------------
- Submission: February 10th, 2014
- Author notification: March 1st, 2014
- Camera Ready papers due: March 14th, 2014
- Conference: May 26th-29th, 2014
COMMITTEE
------------------
Workshop Organizers:
- Prof. Jesus Carretero. University Carlos III of Madrid, Spain.
- Dr. Javier Garcia-Blas. University Carlos III of Madrid, Spain.
- Dr. Manuel Desco. Hospital Gregorio Maranon de Madrid. Spain.
- Prof. Dana Petcu. University of Timisoara, Romania.
Program Committee:
- Ivona Brandic. Vienna University of Technology, Austria.
- Rajkumar Buyya, The University of Melbourne, Australia.
- Alejandro Calderon, University Carlos III of Madrid, Spain.
- David E. Singh, University Carlos III of Madrid, Spain.
- Geoffrey Fox. Indiana University, USA.
- Felix Garcia-Carballeira. University Carlos III of Madrid, Spain.
- Jose Daniel Garcia, University Carlos III of Madrid, Spain.
- Wolfgang Gentzsch. The UberCloud, USA.
- Pesole Graziano. University of Bari, Italy.
- Hsien-Da Huang. National Chiao Tung University, HsinChu, Taiwan.
- Florin Isaila, Argonne National Labs, USA.
- Cedrid Notredame. Center For Genomic Simulation, Spain.
- Javier Pascau, University Carlos III of Madrid, Spain.
- Jorge Ripoll, University Carlos III of Madrid, Spain.
- Ivan Rodero, Rutgers University, USA.
- Omer F. Rana. Cardiff University, UK.
- Saman K. Halgamuge. The University of Melbourne, Australia.
- Domenico Talia. University of Calabria, Italy.
- Peter J. Tonellato. Center for Biomedical Informatics, Harvard Medical School, USA.
- Oswaldo Trelles.University of Malaga. Spain.
- Jose Luis Vazquez-Poletti, University Complutense of Madrid, Spain.
- Miguel A. Vega-Rodriguez. University of Extremadura, Spain.
- Tin Wee Tan. National University of Singapore. Singapore.
- Roel Wuyts, IMEC, Belgium.
- Laurence T. Yang. St. Francis Xavier University, Canada.
PAPER SUBMISSION GUIDELINES
------------------------------
Authors are invited to submit papers electronically in PDF format. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter-size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Authors should make sure that their file will print on a printer that uses letter-size (8.5 x 11) paper. The official language of the conference is English. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees.
Paper submissions are limited to 10 pages in 2-column IEEE format including all figures and references. Submitted manuscripts exceeding this limit will be returned without review. For the final camera-ready version, authors with accepted papers may purchase additional pages at the following rates: 100 USD for each of the first two additional pages; 200 USD for each of the third and fourth additional pages.
The paper submission online system is open: https://www.easychair.org/
==============================
Ivan Rodero, Ph.D.
Rutgers Discovery Informatics Institute (RDI2)
NSF Center for Cloud and Autonomic Computing (CAC)
Department of Electrical and Computer Engineering
Rutgers, The State University of New Jersey
Office: CoRE Bldg, Rm 625
94 Brett Road, Piscataway, NJ 08854-8058
Phone: (732) 993-8837
Fax: (732) 445-0593
Email: irodero at rutgers dot edu
WWW: http://nsfcac.rutgers.edu/
to be held as part of IEEE/ACM CCGrid 2014
Chicago, USA, May 26-29, 2014
http://www.arcos.inf.uc3m.es/~
BACKGROUND
----------------------
In the last 20 years, computational methods have become an important part of developing emerging technologies for the field of bioinformatics and biomedicine. Research areas such as biomodelling, molecular dynamics, genomics, neuroscience, cancer models, evolutionary biology, medical biology, biochemistry, biophysics, biotechnology, cell biology, nanobiotechnology, biological engineering, pharmacology, genetics therapy, or automatic diagnosis, rely heavily on large scale computational resources as they need to manage Tbytes or Pbytes of data with large-scale structural and functional relationships, TFlops or PFlops of computing power for simulating highly complex models, or many-task processes and workflows for processing and analyzing data.
As applications require more and more computational resources every day in order to increase the knowledge of biological and health processes, bio disciplines create new challenges of scale for computation, storage, and interpretation of petascale data that are difficult to solve with single clusters. Cloud computing has the potential to help solve these problems by offering a utility model based on highly flexible computing and storage capabilities and abstraction layers that allows overcoming many of the constraints present in dedicated systems. It may also increase research productivity by allowing sharing applications, tools, and algorithms in an easy way.
The aim of the workshop is to promote the synergies of the cloud computing and bio communities by exploring applications developed in clouds, cloud systems enhancements for bio, and new trends and needs shared between both communities. Thus, this workshop will feature articles that discuss the application of cloud computing to bioinformatics and biomedicine, including solutions to area problems and architectural adaptation of cloud systems to fit those problems.
TOPICS
-----------
Areas of interest of the workshop include, but are not limited to:
- Cloud-based bioinformatics applications
- Cloud-based biomedicine applications
- Cloud-based application in public health systems
- Modeling and simulation of complex biological processes
- Genomics and Molecular Structure evolution
- Molecular Dynamics
- Data intensive biomedical applications
- Clouds for big data manipulation in bioinformatics and biomedicine
- Ontologies and biomedical text mining using clouds
- Biological data mining and visualization using clouds
- Managing large scale biological and biomedical databases using clouds
- Visualization and analysis of biomedical images
- Integration and analysis of biomedical data
- Biosignals processing using clouds
- Computational Modeling and Data Integration
- Privacy issues for cloud-based biomedical applications
- Security challenges in big data and biomedicine
- Biocloud services and resource specification
- Cloud Computing architectures for bio*
- Data-centric versus computer-centric cloud architectures
- Hybrid infrastructures (cloud/physics) for bio applications.
- Resource provisioning for bioclouds
- Distributed cloud solutions
- Cloud solutions for biosensors and mobility
- Improved energy consumption of bio applications using clouds
- Programming paradigms and tools for bio-applications
SCHEDULE, IMPORTANT DATES
------------------------------
- Submission: February 10th, 2014
- Author notification: March 1st, 2014
- Camera Ready papers due: March 14th, 2014
- Conference: May 26th-29th, 2014
COMMITTEE
------------------
Workshop Organizers:
- Prof. Jesus Carretero. University Carlos III of Madrid, Spain.
- Dr. Javier Garcia-Blas. University Carlos III of Madrid, Spain.
- Dr. Manuel Desco. Hospital Gregorio Maranon de Madrid. Spain.
- Prof. Dana Petcu. University of Timisoara, Romania.
Program Committee:
- Ivona Brandic. Vienna University of Technology, Austria.
- Rajkumar Buyya, The University of Melbourne, Australia.
- Alejandro Calderon, University Carlos III of Madrid, Spain.
- David E. Singh, University Carlos III of Madrid, Spain.
- Geoffrey Fox. Indiana University, USA.
- Felix Garcia-Carballeira. University Carlos III of Madrid, Spain.
- Jose Daniel Garcia, University Carlos III of Madrid, Spain.
- Wolfgang Gentzsch. The UberCloud, USA.
- Pesole Graziano. University of Bari, Italy.
- Hsien-Da Huang. National Chiao Tung University, HsinChu, Taiwan.
- Florin Isaila, Argonne National Labs, USA.
- Cedrid Notredame. Center For Genomic Simulation, Spain.
- Javier Pascau, University Carlos III of Madrid, Spain.
- Jorge Ripoll, University Carlos III of Madrid, Spain.
- Ivan Rodero, Rutgers University, USA.
- Omer F. Rana. Cardiff University, UK.
- Saman K. Halgamuge. The University of Melbourne, Australia.
- Domenico Talia. University of Calabria, Italy.
- Peter J. Tonellato. Center for Biomedical Informatics, Harvard Medical School, USA.
- Oswaldo Trelles.University of Malaga. Spain.
- Jose Luis Vazquez-Poletti, University Complutense of Madrid, Spain.
- Miguel A. Vega-Rodriguez. University of Extremadura, Spain.
- Tin Wee Tan. National University of Singapore. Singapore.
- Roel Wuyts, IMEC, Belgium.
- Laurence T. Yang. St. Francis Xavier University, Canada.
PAPER SUBMISSION GUIDELINES
------------------------------
Authors are invited to submit papers electronically in PDF format. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter-size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Authors should make sure that their file will print on a printer that uses letter-size (8.5 x 11) paper. The official language of the conference is English. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees.
Paper submissions are limited to 10 pages in 2-column IEEE format including all figures and references. Submitted manuscripts exceeding this limit will be returned without review. For the final camera-ready version, authors with accepted papers may purchase additional pages at the following rates: 100 USD for each of the first two additional pages; 200 USD for each of the third and fourth additional pages.
The paper submission online system is open: https://www.easychair.org/
==============================
Ivan Rodero, Ph.D.
Rutgers Discovery Informatics Institute (RDI2)
NSF Center for Cloud and Autonomic Computing (CAC)
Department of Electrical and Computer Engineering
Rutgers, The State University of New Jersey
Office: CoRE Bldg, Rm 625
94 Brett Road, Piscataway, NJ 08854-8058
Phone: (732) 993-8837
Fax: (732) 445-0593
Email: irodero at rutgers dot edu
WWW: http://nsfcac.rutgers.edu/
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