@inproceedings{oai:kutarr.kochi-tech.ac.jp:00001233,
 author = {BONGOCHGETSAKUL, Nattakorn and SUTTINON, Pongsak and UEMOTO, Kotomi and NASU, Seigo},
 book = {Society for Social Management Systems Internet Journal},
 month = {Dec},
 note = {Climate change is widely recognized to have an adverse effect on both short and long-term,
especially under uncertainty of water resource availability. Water is not only affecting drinking and food
availability, but also services and industrial manufacturing departments those are significant to our
everyday-life. To retain water resource service under such an uncertainty and economics recession
circumstance, governor has to determine an appropriate policy from a single or a combination of multiple
demand-reduction and supply-increment options, which is not an easy task for the governor.
This paper describes designing of a system to answer the best water resource policy under a given
constraint conditions, e.g. cost, ease to implement, social and economic scenario, etc. A final solution is
determined from considering a vast of number of scenarios from all possible options combinations and
uncertainty from climate change prediction, and give the best scenario back to governor in real-time. In each
scenario, water resource equilibrium from predicted demand and supply in future is calculated, based on a
given (generated) policy, economic and social effects on water shortage are determined.
A modern GPU computing and cloud computing technology are integrated in order to serve the most
convenient experience to the system users. Adopting GTX-Titan GPU, the system could serve about 1,600,000
scenarios per minute, which is about several ten thousand times faster than the previous system framework.
This enable governors using the system to make a decision on the fly.},
 publisher = {Society for Social Management Systems},
 title = {Real-Time Water Resource Policies Supporting System for Decision-Making Based On GPU Application},
 volume = {9},
 year = {2014}
}