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Mario A. R. Dantas: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mario A. R. Dantas, R. K. Baggio
    A SMS Tool for Alerts and Monitoring of a High Availability Cluster Envioronment. [Citation Graph (0, 0)][DBLP]
    HPCS, 2005, pp:307-311 [Conf]
  2. Mario A. R. Dantas, D. P. Cunha
    An Experimental Case Study of Replication on Reconciliation in a Wireless Environment. [Citation Graph (0, 0)][DBLP]
    HPCS, 2004, pp:179-182 [Conf]
  3. Mario A. R. Dantas, A. Hosken
    The ATHA Environment: Experience with a User Friendly Environment for Opportunistic Computing. [Citation Graph (0, 0)][DBLP]
    HPCS, 2004, pp:85-88 [Conf]
  4. Mario A. R. Dantas, A. R. Pinto
    A Load Balancing Approach Based on a Genetic Machine Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    HPCS, 2005, pp:124-130 [Conf]
  5. Mario A. R. Dantas, C. Rista
    A Wireless Monitoring Approach for a HA-OSCAR Cluster Environment. [Citation Graph (0, 0)][DBLP]
    HPCS, 2005, pp:302-306 [Conf]
  6. Ana Marilza Pernas, Mario A. R. Dantas
    Using Ontology for Description of Grid Resources. [Citation Graph (0, 0)][DBLP]
    HPCS, 2005, pp:223-229 [Conf]
  7. C. D. M. Berkenbrock, Mario A. R. Dantas
    Investigation of Cache Coherence Strategies in a Mobile Client/Server Environment. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2005, pp:987-990 [Conf]
  8. Mario A. R. Dantas, A. R. Pinto
    A Genetic Machine Learning Algorithm for Load Balancing in Cluster Configurations. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2005, pp:971-974 [Conf]
  9. Ana Marilza Pernas, Mario A. R. Dantas
    Grid Computing Environment Using Ontology Based Service. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2005, pp:858-861 [Conf]
  10. Heloise Manica, Murilo S. de Camargo, Mario A. R. Dantas
    An Architecture for Location-Dependent Semantic Cache Management. [Citation Graph (0, 0)][DBLP]
    ICEIS (1), 2005, pp:320-325 [Conf]
  11. D. J. Ferreira, Mario A. R. Dantas, A. R. Pinto, C. Montez, Martius Rodriguez
    A Middleware for OSCAR and Wireless Sensor Network Environments. [Citation Graph (0, 0)][DBLP]
    HPCS, 2007, pp:24- [Conf]
  12. Vinicius C. M. Borges, Anubis G. M. Rossetto, Frank J. Knaesel, Mario A. R. Dantas
    An Enhanced Approach for PDA and Cellular Clients to Submit and Monitor Applications in the Mobile Grid. [Citation Graph (0, 0)][DBLP]
    ISPA, 2007, pp:657-668 [Conf]

  13. Toward Resource Management in Multi-Cluster Grid Configurations through an Ontology-Fuzzy Approach. [Citation Graph (, )][DBLP]

  14. Dynamic Resource Matching for Multi-clusters Based on an Ontology-Fuzzy Approach. [Citation Graph (, )][DBLP]

  15. Toward Reducing Query Response Time for Mobile Emergency Assistance Applications through a Ontology-based Semantic Cache Model. [Citation Graph (, )][DBLP]

  16. A Framework for Processes Submission and Monitoring from Mobile Devices to Grid Configurations Utilizing Resource Matching. [Citation Graph (, )][DBLP]

  17. An interoperability approach based on asynchronous replication among distributed internet databases. [Citation Graph (, )][DBLP]

  18. Building efficient multi-core clusters for high performance computing. [Citation Graph (, )][DBLP]

  19. Impact of interconnection networks and application granularity to compound cluster environments. [Citation Graph (, )][DBLP]

  20. A Selector of Grid Resources based on the Semantic Integration of Multiple Ontologies. [Citation Graph (, )][DBLP]

  21. Design and Implementation of Brain Fiber Tracking for GPUs and PC Clusters. [Citation Graph (, )][DBLP]

  22. Toward Developing Knowledge Representation in Emergency Medical Assistance through a Ontology-based Semantic Cache Model. [Citation Graph (, )][DBLP]

  23. Genetic machine learning approach for data fusion applications in dense Wireless Sensor Networks. [Citation Graph (, )][DBLP]

  24. An Experimental Study on How to Build Efficient Multi-core Clusters for High Performance Computing. [Citation Graph (, )][DBLP]

  25. A Study of Adaptive Co-scheduling Approach for an Opportunistic Software Environment to Execute in Multi-core and Multi-Processor Configurations. [Citation Graph (, )][DBLP]

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