Co-Allocating Compute and Network Resources

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

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.

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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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