Virtualization - Jun 2013 - CFP: ACM Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2013 @ IEEE/ACM Supercomputing/SC 2013

CALL FOR PAPERS

6th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS)
2013
http://datasys.cs.iit.edu/events/MTAGS13/

Co-located with IEEE/ACM Supercomputing/SC 2013
Denver Colorado -- November 17th, 2013

Overview
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The 6th workshop on Many-Task Computing on Grids and Supercomputers
(MTAGS) will provide the scientific community a dedicated forum for
presenting new research, development, and deployment efforts of
large-scale many-task computing (MTC) applications on large scale
clusters, Grids, Supercomputers, and Cloud Computing
infrastructure. MTC, the theme of the workshop encompasses loosely
coupled applications, which are generally composed of many tasks (both
independent and dependent tasks) to achieve some larger application
goal.  This workshop will cover challenges that can hamper efficiency
and utilization in running applications on large-scale systems, such
as local resource manager scalability and granularity, efficient
utilization of raw hardware, parallel file system contention and
scalability, data management, I/O management, reliability at scale,
and application scalability. We welcome paper submissions on all
theoretical, simulations, and systems topics related to MTC, but we
give special consideration to papers addressing petascale to exascale
challenges. Papers will be peer-reviewed, and accepted papers will be
published in the workshop proceedings as part of the ACM digital
library (pending approval). The workshop will be co-located with the
IEEE/ACM Supercomputing 2013 Conference in Denver Colorado on November
18th, 2013.

For more information, please see
http://datasys.cs.iit.edu/events/MTAGS13/. For more information on
past workshops, please see MTAGS12, MTAGS11, MTAGS10, MTAGS09, and
MTAGS08. We also ran a Special Issue on Many-Task Computing in the
IEEE Transactions on Parallel and Distributed Systems (TPDS) which has
appeared in June 2011; the proceedings can be found online at
http://www.computer.org/portal/web/csdl/abs/trans/td/2011/06/ttd201106toc.htm.
We,
the workshop organizers, also published a highly relevant paper that
defines Many-Task Computing which was published in MTAGS08, titled
Many-Task Computing for Grids and Supercomputers; we encourage
potential authors to read this paper, and to clearly articulate in
your paper submissions how your papers are related to Many-Task
Computing.

Topics
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We invite the submission of original work that is related to the
topics below. The papers should be 6 pages, including all figures and
references. We aim to cover topics related to Many-Task Computing on
each of the three major distributed systems paradigms, Cloud
Computing, Grid Computing and Supercomputing. Topics of interest
include:
      Compute Resource Management
         Scheduling
         Job execution frameworks
         Local resource manager extensions
         Performance evaluation of resource managers in use on large scale
systems
         Dynamic resource provisioning
         Techniques to manage many-core resources and/or GPUs
         Challenges and opportunities in running many-task workloads on HPC
systems
         Challenges and opportunities in running many-task workloads on Cloud
infrastructure
      Storage architectures and implementations
         Distributed file systems
         Parallel file systems
         Distributed metadata management
         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
      Programming models and tools
         MapReduce and its generalizations
         Many-task computing middleware and applications
         Parallel programming frameworks
         Ensemble MPI techniques and frameworks
         Service-oriented science applications
      Large-Scale Workflow Systems
         Workflow system performance and scalability analysis
         Scalability of workflow systems
         Workflow infrastructure and e-Science middleware
         Programming paradigms and models
      Large-Scale Many-Task Applications
         High-throughput computing (HTC) applications
         Data-intensive applications
         Quasi-supercomputing applications, deployments, and experiences
         Performance Evaluation
      Performance evaluation
         Real systems
         Simulations
         Reliability of large systems
     How MTC Addresses Challenges of Petascale and Exascale Computing
         Concurrency & Programmability
         I/O & Memory
         Energy
         Resilience
         Heterogeneity

Important Dates
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     Paper submission: September 1, 2013
     Acceptance notification: October 13, 2013
     Final papers due: November 10th, 2013

Paper Submission
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Authors are invited to submit papers with unpublished, original work
of not more than 6 pages of double column text using single spaced 10
point size on 8.5 x 11 inch pages, as per ACM 8.5 x 11 manuscript
guidelines; document templates can be found at
http://www.acm.org/sigs/publications/proceedings-templates. The final
6 page papers in PDF format must be submitted online at
https://cmt.research.microsoft.com/MTAGS2013/ before the deadline of
September 1st, 2013 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 (pending approval). Notifications of the
paper decisions will be sent out by October 13th, 2011. Selected
excellent work may be eligible for additional post-conference
publication as journal articles. Submission implies the willingness of
at least one of the authors to register and present the paper. For
more information, please see http://datasys.cs.iit.edu/events/MTAGS13

Organization
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General Chairs
     Ioan Raicu, Illinois Institute of Technology & Argonne National
Laboratory, USA
     Ian Foster, University of Chicago & Argonne National Laboratory, USA
     Yong Zhao, University of Electronic Science and Technology of China, China
     Justin Wozniak, Argonne National Laboratory, USA

Steering Committee
     David Abramson, Monash University, Australia
     Jack Dongarra, University of Tennessee, USA
     Geoffrey Fox, Indiana University, USA
     Manish Parashar, Rutgers University, USA
     Marc Snir, Argonne National Laboratory & University of Illinois at
Urbana Champaign, USA
     Xian-He Sun, Illinois Institute of Technology, USA
     Weimin Zheng, Tsinghua University, China

Program Committee
         Samer Al-Kiswany (University of British Columbia)
         Mihai Budiu (Microsoft Research)
         Kyle Chard (University of Chicago)
         Yong Chen (Texas Tech University)
         Evangelinos Constantinos (Massachusetts Institute of Technology)
         Catalin Dumitrescu (Fermi National Labs)
         Alexandru Iosup (Delft University of Technology - Netherlands)
         Florin Isaila (Universidad Carlos III de Madrid )
         Kamil Iskra (Argonne National Laboratory)
         Hui Jin (Oracle Corporation)
         Daniel Katz (University of Chicago)
         Zhiling Lan (Illinois Institute of Technology)
         Mike Lang (Los Alamos National Laboratory)
         Christopher Moretti (Princeton University)
         Bogdan Nicolae (IBM Research)
         David O'Hallaron (Carnegie Mellon University & Intel
Laboratory)
         Marlon Pierce (Indiana University)
         Judy Qiu (Indiana University)
         Wei Tang (Argonne National Laboratory)
         Edward Walker (Whitworth University)
         Matthew Woitaszek (Walmart Labs)
         Ken Yocum (University of California at San Diego)
         Zhifeng Yun (Louisiana State University)
         Zhao Zhang (University of Chicago)
         Ziming Zheng (Illinois Institute of Technology)

-- 
================================================================Ioan Raicu,
Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
================================================================Data-Intensive
Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
================================================================Editor: IEEE
TCC, Springer JoCCASA
Chair:  IEEE/ACM MTAGS, ACM ScienceCloud, IEEE/ACM DataCloud
================================================================Cel:     
1-847-722-0876
Office:   1-312-567-5704
Email:    iraicu at cs.iit.edu
Web:      http://www.cs.iit.edu/~iraicu/
Web:      http://datasys.cs.iit.edu/
LinkedIn: http://www.linkedin.com/in/ioanraicu
Google:   http://scholar.google.com/citations?user=jE73HYAAAAAJ
=================================================================================================================================