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ScienceCloud 2011 : 2nd Workshop on Scientific Cloud Computing


When Jun 8, 2011 - Jun 8, 2011
Where San Jose, CA, USA
Abstract Registration Due Jan 25, 2011
Submission Deadline Feb 1, 2011
Notification Due Feb 28, 2011
Final Version Due Mar 24, 2011
Categories    cloud computing

Call For Papers

* ** Call for Papers ***
2nd Workshop on Scientific Cloud Computing (ScienceCloud) 2011
In conjunction with ACM HPDC 2011, June 8th, 2011, San Jose, California

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 2nd 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.

For more information about the workshop, please see To see last year's workshop
program agenda, and accepted papers and presentations, please see

# scientific computing applications
* case studies on public, private and open source cloud computing
* case studies comparing between cloud computing and cluster, grids, and/or
* 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 streaming applications
* 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
* parallel file systems in dynamic environments
# models, frameworks and systems for cloud security
* implementation of access control and scalable isolation

Abstract submission: January 25th, 2011
Paper submission: February 1st, 2011
Acceptance notification: February 28th, 2011
Final papers due: March 24th, 2011
Workshop date: June 8th, 2011

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
(; document
templates can be found at A 250 word abstract
(PDF format) must be submitted online at before the deadline of
January 25th, 2011 at 11:59PM PST; the final 5/10 page papers in PDF format will
be due on February 1st, 2011 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
February 28th, 2011. 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

* Ioan Raicu, Illinois Institute of Technology
* Pete Beckman, University of Chicago & Argonne National Laboratory
* Ian Foster, University of Chicago & Argonne National Laboratory

Yogesh Simmhan, University of Southern California

* Dennis Gannon, Microsoft Research, USA
* Robert Grossman, University of Chicago, USA
* Kate Keahey, Nimbus, University of Chicago, Argonne National Laboratory, USA
* Ed Lazowska, University of Washington & Computing Community Consortium, USA
* Ignacio Llorente, Open Nebula, Universidad Complutense de Madrid, Spain
* David O'Hallaron, Carnegie Mellon University & Intel Labs, USA
* Jack Dongarra, University of Tennessee, USA
* Geoffrey Fox, Indiana University, USA

* Remzi Arpaci-Dusseau, University of Wisconsin, Madison
* Roger Barga, Microsoft Research
* Jeff Broughton, Lawrence Berkeley National Lab.
* Rajkumar Buyya, University of Melbourne, Australia
* Roy Campbell, Univ. of Illinois at Urbana Champaign
* Henri Casanova, University of Hawaii at Manoa
* Jeff Chase, Duke University
* Alok Choudhary, Northwestern University
* Bill Howe, University of Washington
* Alexandru Iosup, Delft University of Technology, Netherlands
* Shantenu Jha, Louisiana State University
* Tevfik Kosar, Louisiana State University
* Shiyong Lu, Wayne State University
* Joe Mambretti, Northwestern University
* David Martin, Argonne National Laboratory
* Paolo Missier, University of Manchester, UK
* Ruben Montero, Univ. Complutense de Madrid, Spain
* Reagan Moore, Univ. of North Carolina, Chappel Hill
* Jose Moreira, IBM Research
* Jim Myers, NCSA
* Viktor Prasanna, University of Southern California
* Lavanya Ramakrishnan, Lawrence Berkeley Nat. Lab.
* Matei Ripeanu, University of British Columbia, Canada
* Josh Simons, VMWare
* Marc Snir, University of Illinois at Urbana Champaign
* Ion Stoica, University of California Berkeley
* Daniel Zinn, University of California at Davis

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