Resource scheduling methods for query optimization in data grid systems

  • Authors:

  • Igor Epimakhov;Abdelkader Hameurlain;Tharam Dillon;Franck Morvan

  • Affiliations:

  • Institut de Recherche en Informatique de Toulouse, Paul Sabatier University, Toulouse, France;Institut de Recherche en Informatique de Toulouse, Paul Sabatier University, Toulouse, France;Curtin University, DEBII Institute, Perth, Australia;Institut de Recherche en Informatique de Toulouse, Paul Sabatier University, Toulouse, France

  • Venue:
  • ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
  • Year:
  • 2011

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Abstract

Resource allocation (RA) is one of the most important stages of distributed query processing in Data Grid systems. Recently, a number of papers that propose different methods for RA were published. To deal with specific characteristics of the data grid systems, such as dynamicity, heterogeneity and large-scale, many studies extend classic methods from distributed and parallel databases domains. Others invite fundamentally different methods based on incentives for autonomous nodes. The present study provides a brief description, qualitative comparison and performance evaluation of the most interesting approaches (extended classic and incentive-based) for RA. Both approaches are promising and appropriate for successful data grid systems.