Optimization as an Internet Resource
Interfaces
IEEE Computational Science & Engineering
Progress in Web-based decision support technologies
Decision Support Systems
Can cloud computing reach the top500?
Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop
Grid-Enabled Optimization with GAMS
INFORMS Journal on Computing
OSiL: An instance language for optimization
Computational Optimization and Applications
Case study for running HPC applications in public clouds
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Optimization Services: A Framework for Distributed Optimization
Operations Research
Experiences using cloud computing for a scientific workflow application
Proceedings of the 2nd international workshop on Scientific cloud computing
Magellan: experiences from a science cloud
Proceedings of the 2nd international workshop on Scientific cloud computing
Special issue on Science-Driven Cloud Computing
Scientific Programming - Science-Driven Cloud Computing
State of the Practice Reports
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A web based Spatial Decision Support System web SDSS has been implemented in Thessaly, the most significant arable cropping region in Greece, to evaluate energy crop supply. The web SDSS uses an optimization module to support the decision process launching mathematical programming MP profit maximizing farm models. Energy to biomass raw material cost is provided in supply curve form incorporating physical land suitability for crops, farm structure, and Common Agricultural Policy CAP scenarios. To generate biomass supply curves, the optimization problem is parametrically solved for a number of steps within a price range determined by the user. The more advanced technique used to solve the MP model, the higher the delay of response to the user. In this paper, the authors examine how effectively the web SDSS response time can be reduced to the user requests using parallel solving of the corresponding optimization problem. The results are encouraging, since the total solution time drops significantly as the problem's size increases, improving the users' experience even when the underlying optimization models use advanced, time demanding modeling techniques. These statements are illustrated by comparing linear and non-linear agricultural sector models.