Generalizing the data management of three community grids
Future Generation Computer Systems
GMAC '09 Proceedings of the 6th international conference industry session on Grids meets autonomic computing
Developing Scientific Applications with Loosely-Coupled Sub-tasks
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Programming Abstractions for Data Intensive Computing on Clouds and Grids
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Modelling data-driven CO2 sequestration using distributed HPC cyberinfrastructure
Proceedings of the 2010 TeraGrid Conference
SAGA-based file access application over multi-filesystem middleware
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Future Generation Computer Systems
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programming abstractions SAGA and Cactus that facilitate the development of applications for distributed infrastructure. SAGA provides a high-level programming interface to Gridfunctionality; Cactus is an extensible, component based framework for scientific applications. We show how SAGA can be integrated with Cactus to develop simple, useful and easily extensible applications that can be deployed on a wide variety of distributed infrastructure, independent of the details of the resources. Our model application can gather and analyze network performance data and migrate across heterogeneous resources. We outline the architecture of our application and discuss how it imparts important features required of eScience applications. As a proof-of-concept, we present details of the successful deployment of our application over distinct and heterogeneous Grids and present the network performance data gathered. We also discuss several interesting use cases for such an application which can be used either as stand-alone network diagnostic agent, or in conjunction with more complex scientific applications.