ScienceCloud 2011 Workshop


November 24th, 2011 ACM ScienceCloud 2012 announced
June 8th, 2011 Best Paper Award: Neptune: A Domain Specific Language for Deploying HPC Software on Cloud Platforms, Chris Bunch, Navraj Chohan, Chandra Krintz, Khawaja Shams (Paper, Slides)
June 8th, 2011 If you are attending the workshop, please complete the following short survey
June 7th, 2011 The workshop will be held in the Marriott - Blossom Hill room. We will start at 9AM. Please see the program for all the details. For the complete FCRC timeline and rooms, please see the FCRC 2011 Timeline Schedule
June 1st, 2011

Keynote presentation by Dr. Ion Stoica, Associate Professor in EECS Department at University of California at Berkeley

Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center

Abstract: Today's datacenters need to support a variety of applications, and an even higher variety of dynamically changing workloads. In this talk, I will present Mesos, a platform for sharing commodity clusters between multiple diverse cluster computing frameworks, such as Hadoop and MPI. Sharing improves cluster utilization and avoids per-framework data replication. Mesos shares resources in a fine-grained manner, allowing frameworks to achieve data locality by taking turns reading data stored on each machine. To support the sophisticated schedulers of today's frameworks, Mesos introduces a distributed two-level scheduling mechanism, called resource offers. Mesos decides how many resources to offer each framework, while frameworks decide which resources to accept and which computations to schedule on these resources. Our experimental results show that Mesos can achieve near-optimal locality when sharing the cluster among diverse frameworks, can scale up to 50,000 nodes, and is resilient to node failures.

Ion StoicaBio: Ion Stoica is an Associate Professor in the EECS Department at University of California at Berkeley, where he does research on cloud computing and networked computer systems. Past work includes the Chord DHT, Dynamic Packet State (DPS), Internet Indirection Infrastructure (i3), declarative networks, replay-debugging, and multi-layer tracing in distributed systems. His current research includes resource management and scheduling for data centers, cluster computing frameworks for iterative and interactive applications, and network architectures. He is the recipient of the 2007 CoNEXT Rising Star Award, a Sloan Foundation Fellowship (2003), a Presidential Early Career Award for Scientists & Engineers (PECASE) (2002), and the ACM doctoral dissertation award (2001). In 2006, he co-founded Conviva, a startup to commercialize technologies for large scale video distribution.

March 30th, 2011

The program has been posted!

March 28th, 2011

Accepted Papers:

  • An Automated Approach to Cloud Storage Service Selection, Arkaitz Ruiz-Alvarez, Marty Humphrey
  • Magellan: Experiences from a Science Cloud, Lavanya Ramakrishnan, Piotr T Zbiegiel, Scott Campbell, Rick Bradshaw, Richard Shane Canon, Susan Coghlan, Iwona Sakrejda, Narayan Desai, Tina Declerck, Anping Liu
  • A Study of Lazy/Eager Computation in MapReduce, Kristi Morton, Magda Balazinska, Dan Grossman, Christopher Olston
  • Cumulus: Open Source Storage Cloud for Science, John Bresnahan, Kate Keahey
  • Adaptive Rate Stream Processing for Smart Grid Applications on Clouds, Yogesh Simmhan, Baohua Cao, Michail Giakkoupis, Viktor Prasanna
  • Cloud resource usage – extreme distributions invalidating traditional capacity planning models, Charles Loboz, Microsoft
  • Neptune: A Domain Specific Language for Deploying HPC Software on Cloud Platforms, Chris Bunch, Navraj Chohan, Chandra Krintz, Khawaja Shams
  • Experiences Using Cloud Computing for A Scientific Workflow Application, Jens-S. Vöckler, Gideon Juve, Ewa Deelman, Mats Rynge, G. Bruce Berriman (Invited Paper)
February 28th, 2011 7 papers were accepted for publication from 17 submitted papers (41% acceptance rate)
The program (which will be posted in early April) will include a keynote, 7 paper presentations, 1 invited paper presentation, and a panel. More details to come soon.
Deadline Extended The paper submission deadline has been extended by 1 week to February 8th, 2011.
Best Paper Award Sponsorship A best paper award sponsored by Manjrasoft, Australia will be presented to a paper receiving the highest quality rating from the Program Committee and external reviewers.
September 22nd, 2010 1st Workshop on Data Intensive Computing in the Clouds (DataCloud) 2011, co-located with IEEE IPDPS 2011
September 22nd, 2010 Scientific Programming Journal, Special Issue on Science-driven Cloud Computing


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


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):


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 (; document templates can be found at A 250 word abstract and the final 5/10 page paper (PDF format) must be submitted online at before the deadline of February 8th, 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. The best paper award has been sponsored by Manjrasoft, Australia, and will be presented to a paper receiving the highest quality rating from the Program Committee and external reviewers. 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


Important Dates

Abstract Due:                                         January 25th, 2011 February 8th, 2011

Papers Due:                                           February 1st, 2011 February 8th, 2011

Notification of Acceptance:                   February 28th, 2011

Camera Ready Papers Due:                March 24th, 2011

Workshop Date:                                     June 8th, 2011


Committee Members

General Chairs

Program Chair

Steering Committee

Technical Committee

Workshop Sponsors

The ScienceCloud2011 workshop is seeking industry sponsorship to cover best paper awards, reception/dinner, student travel assistance, and/or keynote speakers honorarium fees. Please contact Ioan Raicu at for more details.

ACM                    HPDC                    Manjrasoft



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