Network-aware heuristics for inter-domain meta-scheduling in Grids

  • Authors:
  • Agustín Caminero;Omer Rana;Blanca Caminero;Carmen Carrión

  • Affiliations:
  • The University of Castilla La Mancha, Campus Universitario s/n, 02071, Albacete, Spain;Cardiff School of Computer Science, 5 The Parade, Cardiff, CF24 3AA, UK;The University of Castilla La Mancha, Campus Universitario s/n, 02071, Albacete, Spain;The University of Castilla La Mancha, Campus Universitario s/n, 02071, Albacete, Spain

  • Venue:
  • Journal of Computer and System Sciences
  • Year:
  • 2011

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Abstract

Grid computing generally involves the aggregation of geographically distributed resources in the context of a particular application. As such resources can exist within different administrative domains, requirements on the communication network must also be taken into account when performing meta-scheduling, migration or monitoring of jobs. Similarly, coordinating efficient interaction between different domains should also be considered when performing such meta-scheduling of jobs. A strategy to perform peer-to-peer-inspired meta-scheduling in Grids is presented. This strategy has three main goals: (1) it takes the network characteristics into account when performing meta-scheduling; (2) communication and query referral between domains is considered, so that efficient meta-scheduling can be performed; and (3) the strategy demonstrates scalability, making it suitable for many scientific applications that require resources on a large scale. Simulation results are presented that demonstrate the usefulness of this approach, and it is compared with other proposals from literature.