Co-Allocating Compute and Network Resources

  • Thomas Eickermann
  • Lidia Westphal
  • Oliver Wäldrich
  • Wolfgang Ziegler
  • Christoph Barz
  • Markus Pilz

Distributed applications or workflows need to access and use compute, storage and network resources simultaneously or chronologically coordinated respectively. Examples are distributed multi-physics simulations that use the combined computational performance and data storage of multiple clusters. A coordinated reservation and allocation of the resources is a prerequisite for the efficient use of such resources. This contribution describes the components of a system that provides Grid users with this functionality. The Grid middleware UNICORE is extended to access a MetaScheduling Service (MSS) performing orchestration of resources of different administrative domains, using advance reservation capability of local resource management systems (RMS) - including network connections for which ARGON serves as RMS. ARGON leverages Bandwidth on Demand, a cornerstone of next generation Grid enabled optical networks rendering the network to a first class Grid resource.


Network Resource Grid Resource Simple Object Access Protocol Resource Management System Advance Reservation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Thomas Eickermann
    • 1
  • Lidia Westphal
    • 1
  • Oliver Wäldrich
    • 2
  • Wolfgang Ziegler
    • 2
  • Christoph Barz
    • 3
  • Markus Pilz
    • 3
  1. 1.Central Institute for Applied MathematicsResearch Centre JülichGermany
  2. 2.Department of BioinformaticsFraunhofer Institute SCAIGermany
  3. 3.University of BonnGermany

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