ScienceCloud 2010 Workshop
|November 11th, 2010||2nd ACM Workshop on Scientific Cloud Computing (ScienceCloud) 2011, co-located with ACM HPDC 2011|
|September 22nd, 2010||1st Workshop on Data Intensive Computing in the Clouds (DataCloud) 2011, co-located with IEEE IPDPS 2011|
|September 22nd, 2010||2nd Workshop on Scientific Cloud Computing (ScienceCloud) 2011, co-located with HPDC 2011|
|September 22nd, 2010||Scientific Programming Journal, Special Issue on Science-driven Cloud Computing|
|June 23rd, 2010||A summary of the workshop:
- Excellent 12 presentations that can be found on the program page.
- Best paper award winner: Seeking Supernovae in the Clouds: A Performance Study
- Fantastic panel from 5 leading researchers, more info on the panel can be found here.
- Attendance at the workshop throughout the day: 70~80+; we had some space issues in the first half of the day, as we might have had close to 100 attendees if we had more room in the morning keynote and sessions.
- Excellent attendance at the reception/dinner with 85 people attending.
- Due to the high interest in the topic, we are already planning next years workshop; please send any feedback on this years workshop and what you would like to see in next years event to Ioan Raicu at email@example.com.
|June 21st, 2010||Workshop starts at 8:45AM in room Superior I.|
|June 10th, 2010||Reception/Dinner on Monday 21st, 2010 -- Finalized Plans|
|May 24th, 2010||Reception/Dinner on Monday
With the generous sponsorship of Microsoft Research and Indiana University, we will be organizing and hosting a general workshop reception/dinner on Monday evening, for which all registered HPDC and/or workshops attendees will be able to attend free of charge. Please click here for more information.
|May 21st, 2010||Panel discussion: "Scientific
Cloud Computing: Reality or Vaporware?" to conclude the workshop
Panelists: Dr. Manish Parashar (Rutgers University), Dr. Roger Barga (Microsoft Research), Dr. Kate Keahey (Argonne National Laboratory & University of Chicago), Dr. Peter Dinda (Northwestern University), Dr. Bob Grossman (University of Illinois at Chicago)
Moderator: Dr. Pete Beckman (Argonne National Laboratory & University of Chicago)
Will you be attending the panel, and have a question you want to make sure gets answered at the panel, please send an email with your questions to firstname.lastname@example.org.
|May 18th, 2010||Keynote speaker: Dr. Dennis Gannon, Director of Applications for the Cloud Computing Futures Group, Microsoft Research|
|May 18th, 2010||Workshop location: Room Superior 1|
|April 30th, 2010||Microsoft Research sponsors ScienceCloud.|
|April 30th, 2010||All accepted papers have been posted on the workshop program page.|
|April 17th, 2010||Accepted papers: We have concluded our review process. We had a total of 22 full paper submissions. We were able to accept 11 papers to be included in the workshop proceedings, and be presented in the full day workshop. Please see the workshop program page for the list of accepted papers.|
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.
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
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-intensive computing applications
eventual-consistency storage usage and management
compute resource management
dynamic resource provisioning
techniques to manage many-core resources and/or GPUs
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/.
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
Pete Beckman, University of Chicago & Argonne National Laboratory
Ian Foster, University of Chicago & Argonne National Laboratory
Ioan Raicu, Northwestern University
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
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
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.