ScienceCloud 2010 Workshop

News

Overview

The advent of computation can be compared, in terms of the breadth and depth of its impact on research and scholarship, to the invention of writing and the development of modern mathematics. Scientific Computing has already begun to change how science is done, enabling scientific breakthroughs through new kinds of experiments that would have been impossible only a decade ago. Today's science is generating datasets that are increasing exponentially in both complexity and volume, making their analysis, archival, and sharing one of the grand challenges of the 21st century. The support for data intensive computing is critical to advancing modern science as storage systems have experienced an increasing gap between their capacity and bandwidth by more than 10-fold over the last decade. There is an emerging need for advanced techniques to manipulate, visualize and interpret large datasets. Scientific computing involves a broad range of technologies, from high-performance computing (HPC) which is heavily focused on compute-intensive applications, high-throughput computing (HTC) which focuses on using many computing resources over long periods of time to accomplish its computational tasks, many-task computing (MTC) which aims to bridge the gap between HPC and HTC by focusing on using many resources over short periods of time, to data-intensive computing which is heavily focused on data distribution and harnessing data locality by scheduling of computations close to the data.

The 1st 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 or commercial clouds. What architectural changes to the current cloud frameworks (hardware, operating systems, networking and/or programming models) are needed to support science? Dynamic information derived from remote instruments and coupled simulation and sensor ensembles are both important new science pathways and tremendous challenges for current HPC/HTC/MTC technologies.  How can cloud technologies enable these new scientific approaches? How are scientists using clouds? Are there scientific HPC/HTC/MTC workloads that are suitable candidates to take advantage of emerging cloud computing resources with high efficiency? What benefits exist by adopting the 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 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

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 long (10 pages) research papers. Topics of interest include (in the context of Cloud Computing):

• scientific computing applications

  • case studies on cloud computing

  • case studies comparing between cloud computing and cluster, grids, and/or supercomputers

  • performance evaluation

• performance evaluation

  • real systems

  • cloud computing benchmarks

  • reliability of large systems

• programming models and tools

  • map-reduce and its generalizations

  • many-task computing middleware and applications

  • integrating parallel programming frameworks with storage clouds

  • message passing interface (MPI)

  • service-oriented science applications

• storage cloud architectures and implementations

  • distributed file systems

  • content distribution systems for large data

  • data caching frameworks and techniques

  • data management within and across data centers

  • data-aware scheduling

  • data-intensive computing applications

  • eventual-consistency storage usage and management

• compute resource management

  • dynamic resource provisioning

  • scheduling

  • techniques to manage many-core resources and/or GPUs

• high-performance computing

  • high-performance I/O systems

  • interconnect and network interface architectures for HPC

  • multi-gigabit wide-area networking

  • scientific computing tradeoffs between clusters/grids/supercomputers and clouds

  • parallel file systems in dynamic environments

• models, frameworks and systems for cloud security

  • implementation of access control and scalable isolation

Paper Submission and Publication

Authors are invited to submit papers with unpublished, original work of not more than 10 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 (http://www.acm.org/publications/instructions_for_proceedings_volumes); document templates can be found at http://www.acm.org/sigs/publications/proceedings-templates. A 250 word abstract (PDF format) must be submitted online at https://cmt.research.microsoft.com/ScienceCloud2010/ before the deadline of February 22nd, 2010 at 11:59PM PST; the final 10 page papers in PDF format will be due on March 1st, 2010 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 April 1st, 2010. 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. For more information, please visit http://dsl.cs.uchicago.edu/ScienceCloud2010/.

Important Dates

Abstract Due:                                        February 22nd, 2010 March 15th, 2010

Papers Due:                                          March 1st, 2010 March 15th, 2010

Notification of Acceptance:                     April 1st, 2010 April 17th, 2010

Camera Ready Papers Due:                   April 15th, 2010 April 23rd, 2010

Workshop Date:                                     June 21st, 2010

Committee Members

Workshop Chairs

• Pete Beckman, University of Chicago & Argonne National Laboratory

• Ian Foster, University of Chicago & Argonne National Laboratory

• Ioan Raicu, Northwestern University

Steering Committee

• Jeff Broughton, Lawrence Berkeley National Lab., USA

• Alok Choudhary, Northwestern University, USA

• Dennis Gannon, Microsoft Research, USA

• Robert Grossman, University of Illinois at Chicago, USA

• Kate Keahey, Nimbus, University of Chicago, Argonne National Laboratory, USA

• Ed Lazowska, University of Washington, USA

• Ignacio Llorente, Open Nebula, Universidad Complutense de Madrid, Spain

• David E. Martin, Argonne National Laboratory, Northwestern University, USA

• Gabriel Mateescu, Linkoping University, Sweden

• David O'Hallaron, Carnegie Mellon University, Intel Labs, USA

• Rich Wolski, Eucalyptus, University of California, Santa Barbara, USA

• Kathy Yelick, University of California at Berkeley, Lawrence Berkeley National Lab., USA

Technical Committee

• David Abramson, Monash University, Australia

• Roger Barga, Microsoft Research, USA

• Roy Campbell, University of Illinois at Urbana Champaign, USA

• Henri Casanova, University of Hawaii at Manoa, USA

• Brian Cooper, Yahoo! Research, USA

• Peter Dinda, Northwestern University, USA

• Jack Dongara, University of Tennessee, USA

• Geoffrey Fox, Indiana University, USA

• Adriana Iamnitchi, University of South Florida, USA

• Alexandru Iosup, Delft University of Technology, Netherlands

• James Hamilton, Amazon Web Services, USA

• Tevfik Kosar, Louisiana State University, USA

• Shiyong Lu, Wayne State University, USA

• Ruben S. Montero, Universidad Complutense de Madrid, Spain

• Reagan Moore, University of North Carolina, Chappel Hill, USA

• Jose Moreira, IBM Research, USA

• Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory

• Matei Ripeanu, University of British Columbia, Canada

• Larry Rudolph, VMware, USA

• Marc Snir, University of Illinois at Urbana Champaign, USA

• Xian-He Sun, Illinois Institute of Technology, USA

• Hakim Weatherspoon, Cornell University, USA

• Mike Wilde, University of Chicago & Argonne National Laboratory, USA

• Alec Wolman, Microsoft Research, USA

• Yong Zhao, Microsoft, USA

Workshop Sponsors

The ScienceCloud2010 workshop was fortunate to receive generous sponsorships from both the HPDC conference and Microsoft Research. With the funds from these sponsors, we will cover the best paper award to be presented at the workshop, as well as a reception/dinner on Monday evening, after the workshop. More details to follow on the workshop reception.

The workshop is also grateful to ACM, for publishing the accepted papers in the ACM Digital Library.

To return to ScienceCloud2010 main page, click here.