Challenges of Large Applications
 in Distributed Environments (CLADE)

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Organization

Submission

Venue

Program

CLADE2009

Munich, Germany
June 10, 2009


GENERAL CHAIRS

Thomas Rauber, University of Bayreuth
Gudula Rünger, Chemnitz University of Technology


PROGRAM CHAIRS

Emmanuel Jeannot, INRIA, France
Shantenu Jha, Louisiana State University, USA


PROGRAM COMMITTEE

Rosa Badia, Barcelona Supercomp. Center, Spain
Mark Baker, University of Reading, UK
Jean-Yves Berthou, EDF, France
Bruce Boghosian, Tufts University, USA
Franck Cappello, INRIA, France
Ewa Deelman, Univ. of Southern California, USA
Frédéric Desprez, INRIA, France
Daniel Grosu, Wayne State University, USA
Yutaka Ishikawa, University of Tokyo, Japan
Daniel Katz, Louisiana State University, USA
Thilo Kielmann, Vrije Universiteit, The Netherlands
Nectarios Koziris, Nat. Tech. Univ. Athens, Greece
Erwin Laure, CERN, Switzerland
Craig Lee, The Aerospace Corp, USA
John Morrison, University College Cork, Ireland
Antonio Plaza, University of Extremadura, Spain
Omer Rana, Cardiff University, UK
Matei Ripeanu, Univ. of British Columbia, Canada
Frédéric Suter, CNRS, France
Jon Weissman, University of Minnesota, USA


PAPER SUBMISSION

HPDC2009 Submissions


CALL FOR PAPERS

Download in PDF format
Download in DOC format
Download in TEXT format


IMPORTANT DATES

Submission Deadline: March 2, 2009
Notification of Acceptance: March 16, 2009
Final Manuscripts Due: 
April 2, 2009
Workshop: June 10, 2009


SPONSORS (pending)

ACM (Association for Computing Machinery)
National Science Foundation
U.S. Dept. of Energy, Office of Science


 

 

The CLADE 2009 workshop will be held in conjunction with the 18th International Symposium on High Performance Distributed Computing (HPDC-18), in Munich, Germany.

 
A new era of large scale, distributed applications are exploiting advances in networking, high-end computers, large data stores and middleware capabilities to address challenging problems. This workshop focuses on the complex issues that arise in large-scale applications of distributed computation, and promotes the development of innovative applications that effectively use distributed resources, e.g., to adapt to heterogeneity and dynamics in space and time. This includes recent results on the development, deployment, management and evaluations of large scale applications in science, engineering, medicine, business, economics, education, and other disciplines, on Grids and other distributed heterogeneous and dynamic computing environments
.

 
Topics of interest to this workshop include (but are not limited to) applications that illustrate advances in the following areas:

 

  • Large-scale distributed applications, both computational and data-centric
  • Application-specific portals in distributed environments
  • Distributed problem-solving environments
  • Distributed, collaborative science applications
  • Large, distributed data analysis
  • Applications with heterogeneous spatial and temporal characteristics
  • Distributed, multidimensional, dynamically adaptive applications
  • Applications of new theories and tools for constructing adaptive software systems
  • Enterprise/data-center applications
  • Applications on Emerging Distributed Environments such as Clouds
  • Examples of distributed applications benefiting from advances in
    • Worlflow tools in distributed environments
    • Application hosting frameworks for distributed environments
    • Runtime support for intelligent, adaptive systems
    • Programming models for heterogeneous and dynamic computation
    • Portability, quality of service, or fault-tolerance in cluster and Grid computation
    • Resource management, dynamic scheduling or load balancing in heterogeneous environments

 


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