Cloud Computing application for Water Resources Modeling and Optimization
Abstract
Modeling and optimization of water resources is complex multidisciplinary collaborative task suitable for development of a cloud computing application. The presented application for water resources modeling and optimization is built on three latest advancements in computer science and technology: Cloud Computing, Service Oriented Architecture and web Geographic Information Systems. The cloud computing application have three tiers: (1) database tier capable of storing all relevant data and information (including geospatial information) (2) middle tier that support multiple data sources and provide platform for building specialized web services and (3) web services tier. The web service tier contains three web services (1) for geospatial data management, (2) for water resources modeling and (3) water resources optimization. The cloud computing application for water resource modeling and optimization advantages over previous solutions are: accessible from everywhere, available all the time, scalable, interoperable, distributed and ultimate collaboration platform.The application web address is www.delipetrov.com/his/.
Literaturhinweise
B. Delipetrev, D. Mihajlov, M. Delipetrev and T. Delipetrov (2010): Model of the Hydro-Information System of the Republic of Macedonia, Journal of Computing and Information Technology, 18(2), 201-204.
M. Rao, G. Fan, J. Thomas, G. Cherian, V. Chudiwale and M. Awawdeh (2007): A web-based GIS Decision Support System for managing and planning USDA's Conservation Reserve Program (CRP). Environmental Modelling & Software, Vol. 22, No. 9, pp. 1270-1280.
J. Y. Choi, B. A. Engel and R. L.Farnsworth (2005): Web-based GIS and spatial decision support system for watershed management. Journal of Hydroinformatics, Vol. 7, No. 3, pp. 165-174.
J. Horak, A. Orlik and J. Stromsky (2008): Web services for distributed and interoperable hydro-information systems. Hydrology and Earth System Sciences, Vol. 12, No. 2, pp. 635-644.
M. Armburst, A. Fox, R. Griffith, A. D. Joseph, R. H. Katz, A. Konwinski, G. Lee, D. A. Patterson, A. Rabkin and I. Stoica (2009): Above the clouds: A berkeley view of cloud computing. EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-28.
T. Erl (2005): Service-oriented architecture: concepts, technology, and design, Prentice Hall PTR.
M.G. Tait (2005): Implementing geoportals: applications of distributed GIS, Computers, Environment and Urban Systems, Vol. 29, No. 1, pp. 33-47.
D.P. Loucks and E. Van Beek (2005): Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications. Paris: UNESCO.
