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Keywords: grid computing, cyberaide workflow, water distribution system.

Summary

Grids and clouds [2] can help in several ways. First, they can provide infrastructure that is of sufficient computational power. Second, they allow the introduction of fault tolerant mechanisms, as ample resources could be made available. Third, as a result of the power of the available systems fast performance can be achieved. However, the approaches to utilize Grids and cloud requires the availability of "software stacks" that enable the application developer to use the infrastructure provided by grids and clouds more effectively. Two distinct platforms are provided: the cyberaide and hadoop platforms

The cyberaide platform is used to carry out fault tolerant calculation workflows [3].

The hadoop platform is used to test a fault tolerant map/reduce implementation. The later activity has been conducted on FutureGrid [4].

We find that the cyberaide platform provided better performance and also allows an easier introduction of custom designed services. Thus, in case the user has access to Grids and is interested in performance, cyberaide is a good choice.

We find hadoop provides an easy to use programming framework, that abstracts the application user from the infrastructure. FutureGrid and TeraGrid were essential resources for this work. TeraGrid allowed the exploration of the Grid infrastructure for this problem, while FutureGrid allowed the consideration of the hadoop platform.

References

1: G. von Laszewski, K. Mahinthakumar, R. Ranjithan, D. Brill, J. Uber, K. Harrison, S. Sreepathi, E. Zechman, "An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems", in "Proceedings of the International Conference on Computational Science, ICCS 2006", 3993, 401-408, 2006.
2: G. von Laszewski, "The Grid-Idea and Its Evolution", Journal of Information Technology, 47(6), 319-329, June 2005. doi:10.1524/itit.2005.47.6.319
3: G. von Laszewski, "Java CoG Kit Workflow Concepts", Journal of Grid Computing, Jan. 2006. doi:10.1007/s10723-005-9013-5
4: "FutureGrid". http://portal.futuregrid.org

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 95 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 93 Threat Detection in Urban Water Distribution Systems with Simulations Conducted in Grids and Clouds G. von Laszewski¹, L. Wang¹, F. Wang¹, G.C. Fox¹ and G.K. Mahinthakumar² ¹Pervasive Technology Institute, Indiana University, Bloomington IN, United States of America ²Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh NC, United States of America doi:10.4203/ccp.95.93 purchase the full-text of this paper Full Bibliographic Reference for this paper G. von Laszewski, L. Wang, F. Wang, G.C. Fox, G.K. Mahinthakumar, "Threat Detection in Urban Water Distribution Systems with Simulations Conducted in Grids and Clouds", in , (Editors), "Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 93, 2011. doi:10.4203/ccp.95.93 Keywords: grid computing, cyberaide workflow, water distribution system. Summary Grids and clouds [2] can help in several ways. First, they can provide infrastructure that is of sufficient computational power. Second, they allow the introduction of fault tolerant mechanisms, as ample resources could be made available. Third, as a result of the power of the available systems fast performance can be achieved. However, the approaches to utilize Grids and cloud requires the availability of "software stacks" that enable the application developer to use the infrastructure provided by grids and clouds more effectively. Two distinct platforms are provided: the cyberaide and hadoop platforms The cyberaide platform is used to carry out fault tolerant calculation workflows [3]. The hadoop platform is used to test a fault tolerant map/reduce implementation. The later activity has been conducted on FutureGrid [4]. We find that the cyberaide platform provided better performance and also allows an easier introduction of custom designed services. Thus, in case the user has access to Grids and is interested in performance, cyberaide is a good choice. We find hadoop provides an easy to use programming framework, that abstracts the application user from the infrastructure. FutureGrid and TeraGrid were essential resources for this work. TeraGrid allowed the exploration of the Grid infrastructure for this problem, while FutureGrid allowed the consideration of the hadoop platform. References 1 G. von Laszewski, K. Mahinthakumar, R. Ranjithan, D. Brill, J. Uber, K. Harrison, S. Sreepathi, E. Zechman, "An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems", in "Proceedings of the International Conference on Computational Science, ICCS 2006", 3993, 401-408, 2006. 2 G. von Laszewski, "The Grid-Idea and Its Evolution", Journal of Information Technology, 47(6), 319-329, June 2005. doi:10.1524/itit.2005.47.6.319 3 G. von Laszewski, "Java CoG Kit Workflow Concepts", Journal of Grid Computing, Jan. 2006. doi:10.1007/s10723-005-9013-5 4 "FutureGrid". http://portal.futuregrid.org purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £85 +P&P)
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