4th Workshop on Scientific Cloud Computing (ScienceCloud) 2013
Co-located with ACM HPDC 2013, New York City, NY, USA -- June 17th, 2013
http://datasys.cs.iit.edu/
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*** Deadline Extension to February 25th, 2013 ***
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The 4th workshop on Scientific Cloud Computing (ScienceCloud) will provide the
scientific community a dedicated forum for discussing new research, development,
and deployment efforts in running these kinds of scientific computing workloads
on Cloud Computing infrastructures. The ScienceCloud workshop will focus on the
use of cloud-based technologies to meet new compute-intensive and data-
intensive scientific challenges that are not well served by the current
supercomputers, grids and HPC clusters. This workshop encourages interaction and
cross-pollination between those developing applications, algorithms, software,
hardware and networking, emphasizing scientific computing for such cloud
platforms. We believe the workshop will be an excellent place to help the
community define the current state, determine future goals, and define
architectures and services for future science clouds.
TOPICS
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We invite the submission of original work that is related to the topics below.
The papers can be either short (4 pages) position papers, or long (8 pages)
research papers. Topics of interest include (in the context of Cloud Computing):
- Scientific application cases studies on Cloud infrastructure
- Performance evaluation of Cloud environments and technologies
- Fault tolerance and reliability in cloud systems
- Data-intensive workloads and tools on Clouds
- Use of programming models such as Map-Reduce and its implementations
- Storage cloud architectures
- I/O and Data management in the Cloud
- Workflow and resource management in the Cloud
- Use of cloud technologies (e.g., NoSQL databases) for scientific applications
- Data streaming and dynamic applications on Clouds
- Dynamic resource provisioning
- Many-Task Computing in the Cloud
- Application of cloud concepts in HPC environments or vice versa
- High performance parallel file systems in virtual environments
- Virtualized high performance I/O network interconnects
- Virtualization
- Distributed Operating Systems
- Many-core computing and accelerators (e.g. GPUs, MIC) in the Cloud
- Cloud security
IMPORTANT DATES
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- Paper submission: February 25th, 2013 (11:59PM PST)
- Acceptance notification: March 18th, 2013
- Final papers due: April 15th, 2013
PAPER SUBMISSION
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Authors are invited to submit papers with unpublished, original work of not
more than 8 pages of double column text using single spaced 10 point size on
8.5 x 11 inch pages (including all text, figures, and references), as per ACM
8.5 x 11 manuscript guidelines (document templates can be found at
http://www.acm.org/sigs/
and the final paper in PDF format must be submitted online at
https://cmt.research.
February 25th, 2013 at 11:59PM PST. Papers will be peer-reviewed, and accepted
papers will be published in the workshop proceedings as part of the ACM digital
library. Notifications of the paper decisions will be sent out by March 18th,
2013. Selected excellent work will be invited to submit extended versions of
the workshop paper to a special issue journal. Submission implies the
willingness of at least one of the authors to register and present the paper.
GENERAL CHAIRS
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- Ioan Raicu, Illinois Institute of Technology & Argonne National Lab., USA
- Yogesh Simmhan, University of Southern California, USA
PROGRAM COMMITTEE CHAIRS
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- Kyle Chard, University of Chicago, USA
- Gabriel Antoniu, INRIA, France
- Lavanya Ramakrishnan, Lawrence Berkeley National Lab, USA
STEERING COMMITTEE
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- Ian Foster, University of Chicago & Argonne National Laboratory, USA
- Pete Beckman, University of Chicago & Argonne National Laboratory, USA
- Carole Goble, University of Manchester, UK
- Dennis Gannon, Microsoft Research, USA
- Robert Grossman, University of Chicago, USA
- Kate Keahey, University of Chicago & Argonne National Laboratory, USA
- Ed Lazowska, University of Washington & Computing Community Consortium, USA
- David O'Hallaron, Carnegie Mellon University & Intel Labs, USA
- Jack Dongarra, University of Tennessee, USA
- Geoffrey Fox, Indiana University, USA
PROGRAM COMMITTEE
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- Samer Al-Kiswany (University of British Columbia)
- Roger Barga (Microsoft Research)
- Roy Campbell (University of Illinois at Urbana Champaign)
- Charlie Catlett (Argonne National Laboratory)
- Simon Caton (KIT)
- David Chiu (Washington State University)
- Jack Dongara (University of Tennessee)
- Ake Edlund (Royal Institute of Technology)
- Chathura Herath (Indiana University)
- Neil Chue Hong (University of Edinburgh)
- Adriana Iamnitchi (University of South Florida)
- Shantenu Jha (Louisiana State University)
- Hui Jin (Illinois Institute of Technology)
- Carl Kesselman (University of Southern California)
- Thilo Kielmann (Vrije University)
- Gregor von Laszewski (Indiana University)
- Shiyong Lu (Wayne State University)
- Wei Lu (Microsoft Research)
- Andr Luckow (Louisiana State University)
- David Martin (Argonne National Laboratory)
- Gabriel Mateescu (Virginia Tech)
- Paolo Missier (University of Manchester)
- Ruben Montero (Universidad Complutense de Madrid)
- Reagan Moore (University of North Carolina)
- Jose Moreira (IBM Research)
- Christine Morin (INRIA Rennes)
- Pasquale Pagano (ISTI)
- Beth Plale (Indiana University)
- Omer Rana (Cardiff University)
- Matei Ripeanu (University of British Columbia)
- Josh Simons (VMWare)
- Douglas Thain (University of Notre Dame)
- Johan Tordsson (Ume University)
- Vasudeva Varma (IIIT-Hyderabad)
- Zhifeng Yun (Louisiana State University)
- Yong Zhao (University of Electronic and Science Technology of China)
--
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Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
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Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
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Editor: IEEE TCC, Springer JoCCASA
Chair: IEEE/ACM MTAGS, ACM ScienceCloud, IEEE/ACM DataCloud
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Cel:
Office:
Email: iraicu@cs.iit.edu
Web: http://www.cs.iit.edu/~iraicu/
Web: http://datasys.cs.iit.edu/
LinkedIn: http://www.linkedin.com/in/
Google: http://scholar.google.com/
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