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 https://spreadsheets.google.com/spreadsheet/viewform?formkey=dFBPeUd3WGVmTExqcDNUeldkSVhNVnc6MQ.|
|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.
Bio: 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||
|February 28th, 2011||
7 papers were accepted for publication from 17 submitted papers (41%
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 http://www.cs.iit.edu/~iraicu/ScienceCloud2011/. To see last year's workshop program agenda, and accepted papers and presentations, please see http://dsl.cs.uchicago.edu/ScienceCloud2010/.
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 public, private and open source 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 streaming applications
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 and the final 5/10 page paper (PDF format) must be submitted online at https://cmt.research.microsoft.com/ScienceCloud2011/ 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 http://www.cs.iit.edu/~iraicu/ScienceCloud2011/.
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
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
David Abramson, Monash University, Australia
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
Peter Dinda, 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
Gabriel Mateescu, University of Illinois at Urbana Champaign
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
Yong Zhao, University of Electronic and Science Technology of China
Daniel Zinn, University of California at Davis
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 firstname.lastname@example.org for more details.
To return to ScienceCloud2011 main page, click here.