Research Interest

I am interested in parallel architectures and parallel/distribuited applications. I think the scientific research on Grid computing may have a big impact on the modern society, it allows to compute models of complex phenomenons, and to help solve pressing health and environmental problems facing the developing world.


I think the grid computing stimulates the cooperation among people, that agree to share resources and knowledge, to follow targets that are not reachable individually.

 

 

 

Publications

2008

    Chapter in Book

  • M. Pasquali, P. Dazzi, A. Panciatici, R. Baraglia, “Self-Optimizing Classifiers: Formalization and Design Pattern". In From Grids to Service and Pervasive Computing. Springer Verlag. 2008. <Springer-BibTex>.

     

  • D. Klusáček, H. Rudová, R. Baraglia, M. Pasquali, G. Capannini, “Comparison of Multi Criteria Scheduling Techniques”. In CoreGRID Integration Workshop 2008. Integrated Research in Grid Computing. CoreGRID series, Springer Verlag. <Springer-BibTex>.

    Articles in Conference Proceeding

  • Marco Pasquali, Ranieri Baraglia, Gabriele Capannini, Laura Ricci, and Domenico Laforenza, “A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale Grids”. HPDC: ACM/IEEE International Symposium on High Performance Distributed Computing, Boston June 23-27, 2008. <ACM-BibTex>.

     

  • D. Klusáček, H. Rudová, R. Baraglia, M. Pasquali, G. Capannini, “Comparison of Multi Criteria Scheduling Techniques”. In CoreGRID Integration Workshop 2008. Integrated Research in Grid Computing. Heraklion-Crete, April 2-4, 2008, Greece. <BibTex>.

2007

    Chapter in Book

  • A.D. Techiouba, G. Capannini, R. Baraglia, D. Puppin, M. Pasquali, L. Ricci, “Backfilling Strategies for Scheduling Streams of Jobs on Computational Farms”. Making Grids Work, CoreGRID series, Springer Verlag. June, 2008. <Springer-BibTex>.

    Articles in Conference Proceeding

  • G. Capannini, R. Baraglia, D. Puppin, L. Ricci, M. Pasquali, “A Job Scheduling Framework for Large Computing Farms", SC’07 ACM/IEEE Computer Society International Conference for High Performance Computing, Networking, Storage, and Analysis, Reno, NV November 13-17, 2007. <ACM-BibTex>.

     

  • P. Dazzi, F. Nidito, M. Pasquali, “New perspectives in autonomic design patterns for stream-classification-systems". In Automated Software Engineering archive. Proceedings of the 2007 workshop on Automating service quality: Held at the International Conference on Automated Software Engineering (ASE). Atlanta, Georgia. ACM New York, NY, USA. <ACM-BibTex>.

     

  • A.D. Techiouba, G. Capannini, R. Baraglia, D. Puppin, M. Pasquali, L. Ricci, “Backfilling Strategies for Scheduling Streams of Jobs on Computational Farms”. In CoreGRID Workshop on Grid Programming Model, Grid and P2P Systems Architecture, Grid Systems, Tools and Environments. June 12-13, 2007, Heraklion - Crete, Greece. <BibTex>.

2005

    Articles in Conference Proceeding

  • M. Coppola, M. Pasquali, L. Presti, M. Vanneschi, “An Experiment with High Performance Components for Grid Applications”. In IPDPS: Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium 2005. <IEEE-BibTex>.

 

Other

Talks

  • “A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale Grids”. 7th Meeting of the Institute on Resource Management and Scheduling, CoreGrid WP6, March, 2008, Dortmund, Germany. <Slides>.

     

  • “A Job Scheduling Framework for Large Computing Farms”. International Research Workshop on Scheduling WS 07 Cetraro, Italy June 25th – 29th, 2007. <PDF-Slides>.

     

Technical Reports

  • P. Dazzi, A. Panciatici, M. Pasquali, “A formal checklist for self-optimizing strategy-driven priority classification system”. ISTI-CNR Technical Report 2008-TR-005, 8 Febbraio 2008.

     

  • P. Dazzi, M. Pasquali, “Formalization of autonomic heuristics-driven systems”. ISTI-CNR Technical Report 2008-TR-004, 8 Febbraio 2008.

 

 

Collaborations:

 

Past Collaboration:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

World Champion