There is a new NGS user case study up on the website and this time it deals with traffic. I'm sure this is a popular topic particularly at 9am on a Monday morning!
NGS user Aengus McCulloch from Newcastle University has been using NGS resources to tackle the explosion in the volume of data relating to real world events such as systems monitoring weather and road traffic etc. Processing the large volumes of data generated by geographical sensors in a short time period is an enormous computational challenge. Guess where the NGS can help out?
Aengus used the real world problem of traffic monitoring and routing as a test case for classifying near real-time processing operations on geographically referenced data using Grid computing architectures. By using the NGS he managed to successfully test his system with up to 250 vehicles.
Aengus said "The NGS has made endless CPU hours available to me through a standards based interface; it has been an invaluable resource for my research".
To read more about his research, see the scalable road traffic case study.
Wednesday, 8 June 2011
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