Meeting virtual organization performance goals through adaptive grid reconfiguration

  • Authors:
  • Zach Hill;Jonathan Rowanhill;Anh Nguyen-Tuong;Glenn Wasson;John Knight;Jim Basney;Marty Humphrey

  • Affiliations:
  • Department of Computer Science, University of Virginia, Charlottesville, VA, USA;Department of Computer Science, University of Virginia, Charlottesville, VA, USA;Department of Computer Science, University of Virginia, Charlottesville, VA, USA;Department of Computer Science, University of Virginia, Charlottesville, VA, USA;Department of Computer Science, University of Virginia, Charlottesville, VA, USA;National Center for Supercomputing Applications, University offllinois at Urbana-Champaign, IL, USA;Department of Computer Science, University of Virginia, Charlottesville, VA, USA

  • Venue:
  • GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
  • Year:
  • 2007

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Abstract

In order for Grids to become relied upon for critical infrastructure and scientific computing, Grid-wide management must be automated so that it is possible in quickly and comprehensively respond to or anticipate specific environmental changes and requirements. That is, due to the disjoint administration of Grids which results in high communication requirements as well as large numbers of skilled administrators, manual reconfiguration of large portions of a Grid in such situations is not a viable solution. We have developed an architecture that allows changes to the grid configuration to be automated in response to operator input or sensors placed throughout the Grid. Additionally, our architecture allows the resource owner to specify who is allowed to alter the configuration of his resource and what types of reconfigurations are allowed. This permits the automation of reconfiguration while retaining owner control of the individual resources. Our experiments show that this architecture can be used to reconfigure a representative GT4-based development grid to enforce maximum latency limits on a Virtual Organization’s jobs by dynamically controlling job priorities Grid-wide.