Implementing Agent-Based Resource Management in Tsunami Modeling - Preliminary Considerations

Recently, work has started to apply the agent-semantic infrastructure, developed within the scope of the Agents in Grid project, to the resource management needed in tsunami modeling. The original proposal was based on the perceived simplicity, versatility and flexibility of the agent-based approach that makes it easier to deploy than the standard grid middlewares. The aim of this paper is to report on the progress in implementing and deploying the proposed system at the University of Aizu.

[1]  K. Wasielewska,et al.  Negotiations in an Agent-based Grid Resource Brokering System , 2011 .

[2]  D.N. Ranasinghe,et al.  Performance of shallow water equations model on the computational grid with overlay memory architectures , 2007, 2007 International Conference on Industrial and Information Systems.

[3]  Alexander Vazhenin,et al.  Service-oriented tsunami wave propagation modeling tools , 2012, HCCE '12.

[4]  Sascha Ossowski Agreement Technologies , 2012, Lecture Notes in Computer Science.

[5]  Xing Cai,et al.  Making Hybrid Tsunami Simulators in a Parallel Software Framework , 2006, PARA.

[6]  Yuefan Deng,et al.  Applied Parallel Computing , 2012 .

[7]  Lev Shemer,et al.  Tsunami wave suppression using submarine barriers , 2010 .

[8]  Vijay S. Pande,et al.  Folding@home: Lessons from eight years of volunteer distributed computing , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

[9]  Alexander Vazhenin,et al.  Acceleration of Tsunami Wave Propagation Modeling based on Re-engineering of Computational Components , 2013 .

[10]  Mike Kuniavsky Smart Things: Ubiquitous Computing User Experience Design: Ubiquitous Computing User Experience Design , 2010 .

[11]  Mike Kuniavsky,et al.  Smart Things: Ubiquitous Computing User Experience Design , 2010 .

[12]  Yutaka Watanobe,et al.  Agent-based resource management in Tsunami modeling , 2013, 2013 Federated Conference on Computer Science and Information Systems.

[13]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[14]  Marcin Paprzycki,et al.  Forming and managing agent teams acting as resource brokers in the Grid — preliminary considerations , 2008 .

[15]  Costas E. Synolakis,et al.  Tsunami inundation modeling for western Sumatra , 2006, Proceedings of the National Academy of Sciences.

[16]  Maria Ganzha,et al.  Using Ontologies to Manage Resources in Grid Computing: Practical Aspects , 2013 .

[17]  Vasily Titov,et al.  Implementation and testing of the Method of Splitting Tsunami (MOST) model , 1997 .

[18]  Maria Ganzha,et al.  OntoPlay - A Flexible User-Interface for Ontology-based Systems , 2012, AT.

[19]  Thomas Erl,et al.  SOA Design Patterns , 2008 .

[20]  R. W. Hamming State of the art in scientific computing , 1963, AFIPS '63 (Spring).

[21]  Mike Kuniavsky,et al.  Smart things: ubiquitous computing user experience , 2010 .