Application Scenarios Using Serpens Suite for Kepler Scientific Workflow System

This paper presents the overview of exploitation scenarios making use of the Serpens suite for the Kepler workflow orchestration system. The proposed framework provides researchers with an easy-to-use, workflow-based environment for scientific computations. It allows execution of various applications coming from different disciplines, in various distributed computational environments using a user-friendly interface. This research has been driven initially by Nuclear Fusion applications' requirements, where the leading idea was to enhance the modeling capabilities for ITER sized plasma research by providing access to High Performance Computing resources. Several usage scenarios are being presented with an example of applications from the field of Nuclear Fusion, Astrophysics and Computational Chemistry.

[1]  I. Altintas Collaborative provenance for workflow-driven science and engineering , 2011 .

[2]  Péter Kacsuk,et al.  P-GRADE Portal: A generic workflow system to support user communities , 2011, Future Gener. Comput. Syst..

[3]  Anne H. H. Ngu,et al.  Scientist-Centered Workflow Abstractions via Generic Actors, Workflow Templates, and Context-Awareness for Groundwater Modeling and Analysis , 2011, 2011 IEEE World Congress on Services.

[4]  Isabel Campos Plasencia,et al.  Scientific workflow orchestration interoperating HTC and HPC resources , 2011, Comput. Phys. Commun..

[5]  Ian T. Foster Globus Toolkit Version 4: Software for Service-Oriented Systems , 2005, NPC.

[6]  G. G. Lister,et al.  FAFNER. A Fully 3-D Neutral Beam Injection Code Using Monte Carlo Methods , 1985 .

[7]  J. C. Whitson,et al.  COBRA: An Optimized Code for Fast Analysis of Ideal Ballooning Stability of Three-Dimensional Magnetic Equilibria , 2000 .

[8]  T. H. Stix,et al.  Heating of toroidal plasmas by neutral injection , 1972 .

[9]  N. Nakajima,et al.  On the stability of Mercier and ballooning modes in stellarator configurations , 1998 .

[10]  David Abramson,et al.  Mixing Grids and Clouds: High-Throughput Science Using the Nimrod Tool Family , 2010, Cloud Computing.

[11]  Norman W. Paton,et al.  Adaptive workflow processing and execution in Pegasus , 2009 .

[12]  Masaki Osakabe,et al.  Kinetic simulations of fast ions in stellarators , 2011 .

[13]  Bertram Ludäscher,et al.  Kepler: an extensible system for design and execution of scientific workflows , 2004 .

[14]  Farid Ould-Saada,et al.  Roadmap for the ARC Grid Middleware , 2006, PARA.

[15]  A. D. Meglio,et al.  Programming the Grid with gLite , 2006 .

[16]  D. Manolopoulos,et al.  ABC: a quantum reactive scattering program , 2000 .

[17]  Carole A. Goble,et al.  Taverna: a tool for building and running workflows of services , 2006, Nucleic Acids Res..

[18]  Paul Avery,et al.  The Open Science Grid , 2007 .

[19]  Miguel Paniagua,et al.  Global fit of ab initio potential energy surfaces I. Triatomic systems , 1998 .

[20]  George H. Neilson,et al.  External inductance of an axisymmetric plasma , 1986 .

[21]  Charles E. Catlett The Philosophy of TeraGrid: Building an Open, Extensible, Distributed TeraScale Facility , 2002, CCGRID.

[22]  Antonio Laganà,et al.  COMPCHEM: Progress Towards GEMS a Grid Empowered Molecular Simulator and Beyond , 2010, Journal of Grid Computing.