The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment

  • Authors:

  • Gabrielle Allen;David Angulo;Ian Foster;Gerd Lanfermann;Chuang Liu;Thomas Radke;Ed Seidel;John Shalf

  • Affiliations:

  • Max-Planck-Institute for Gravitational Physics;University of Chicago;University of Chicago, Argonne National Laboratory;Max-Planck-Institute for Gravitational Physics;University of Chicago;Max-Planck-Institute for Gravitational Physics;Max-Planck-Institute for Gravitational Physics;Lawrence Berkeley National Laboratory

  • Venue:
  • International Journal of High Performance Computing Applications
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

The ability to harness heterogeneous, dynamically available grid resources is attractive to typically resource-starved computational scientists and engineers, as in principle it can increase, by significant factors, the number of cycles that can be delivered to applications. However, new adaptive application structures and dynamic runtime system mechanisms are required if we are to operate effectively in grid environments. To explore some of these issues in a practical setting, the authors are developing an experimental framework, called Cactus, that incorporates both adaptive application structures for dealing with changing resource characteristics and adaptive resource selection mechanisms that allow applications to change their resource allocations (e.g., via migration) when performance falls outside specified limits. The authors describe the adaptive resource selection mechanisms and describe how they are used to achieve automatic application migration to "better" resources following performance degradation. The results provide insights into the architectural structures required to support adaptive resource selection. In addition, the authors suggest that the Cactus Worm affords many opportunities for grid computing.