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ScienceCloud 2012 : Workshop on Scientific Cloud Computing | |||||||||||||||
Link: http://ceng.usc.edu/~simmhan/ScienceCloud2012 | |||||||||||||||
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Call For Papers | |||||||||||||||
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ScienceCloud 2012 3rd Workshop on Scientific Cloud Computing Co-located with ACM Symposium on High-Performance, Parallel & Distributed Computing (HPDC) Delft, The Nederlands June 18th, 2012 http://ceng.usc.edu/~simmhan/ScienceCloud2012 ========================================================================== *** Call for Papers *** The 3rd workshop on Scientific Cloud Computing (ScienceCloud), co-located with HPDC 2012, provides a dedicated forum for the scientific community to discuss new research, development, and deployment efforts in running scientific computing workloads on cloud Computing platforms. The 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. The workshop aims to address questions such as: What architectural changes to the current cloud frameworks (hardware, OS, networking and/or programming models) are needed to support science? Dynamic information derived from remote instruments and coupled simulation, and sensor ensembles that stream data for realtime analysis are important emerging techniques in scientific and cyber-physical systems. How can cloud technologies enable and adapt to these new scientific approaches dealing with dynamism? How are scientists using clouds? Are there scientific workloads that are suitable candidates to take advantage of emerging cloud computing resources with high efficiency? Commercial public clouds provide easy access to cloud infrastructure for scientists. What are the gaps in commercial cloud offerings and how can they be adapted for running existing and novel eScience applications? What are the benefits of adopting a cloud model, over clusters, grids, or supercomputers? What factors are limiting clouds use or would make them more usable/efficient? 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 that it 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 of Interest *** We invite the submission of original work that is related to the topics below. The papers can be either short (5 pages) position papers, or full (10 pages) research papers. Topics of interest, in the context of clouds, include: - Scientific application cases studies on cloud infrastructure - Performance evaluation of cloud environments and technologies - Fault tolerance and reliability in cloud system - 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, etc) for scientific applications - Data streaming and dynamic applications on clouds - Application of cloud concepts in HPC environments - High performance parallel file systems and interconnects in virtual environments - Research and best practices in cloud security For submission instructions and other details, visit http://ceng.usc.edu/~simmhan/ScienceCloud2012 or contact Yogesh Simmhan (simmhan@usc.edu). *** Important Dates *** - Abstract Due: February 5th, 2012 - Papers Due: February 12th, 2012 - Notification of Acceptance: March 18th, 2012 - Camera Ready Papers Due: April 16th, 2012 *** Organization *** ## General Chairs ## - Yogesh Simmhan, University of Southern California, USA - Gabriel Antoniu, INRIA Rennes, France - Carole Goble, University of Manchester, UK ## Program Chair ## - Lavanya Ramakrishnan, Lawrence Berkeley National Lab, USA ## Steering Committee ## - Pete Beckman University of Chicago, USA - Jack Dongarra University of Tennessee, USA - Ian Foster University of Chicago, USA - Geoffrey Fox Indiana University, USA - Dennis Gannon Microsoft Research, USA - Robert Grossman University of Illinois at Chicago, USA - Kate Keahey University of Chicago, USA - Ed Lazowska University of Washington, USA - Ignacio Llorente Universidad Complutense de Madrid, Spain - David O'Hallaron Carnegie Mellon University, USA - Ioan Raicu Illinois Institute of Technology, USA ## Program Committee ## - Roger Barga Microsoft Research - Jeff Broughton Lawrence Berkeley National Lab - Roy Campbell University of Illinois at Urbana Champaign - Henri Casanova University of Hawaii at Manoa - David Chiu Washington State University - Alexandru Costan INRIA - Ake Edlund Royal Institute of Technology - Chathura Heratha Indiana University - Neil Hong University of Edinburgh - Bill Howe University of Washington - Alexandru Iosup Delft University of Technology - Shantenu Jha Rutgers University - Hui Jin Illinois Institute of Technology - Thilo Kielmann Vrije University - Chandra Krintz UC-Santa Barbara - Shiyong Lu Wayne State University - Wei Lu Microsoft Research - André Luckow Louisiana State University/Potsdam - Ravi Madduri Argonne National Laboratory - Paolo Missier University of New Castle - Ruben Montero University Complutense de Madrid - Reagan Moore University of North Carolina-Chapel Hill - Jim Myers Rensselaer Polytechnic - Omer Rana Cardiff University - Josh Simons VMWare - Vikram Sorathia University of Southern California - Johan Tordsson Umeå University - Vasudeva Varma IIIT-Hyderabad - Paul Watson University of New Castle - Zhifeng Yun Louisiana State University - Yong Zhao University of Electronic and Science Technology of China - Daniel Zinn University of California at Davis |
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