An Elastic Cloud Computing Algorithm of Floating Car Data Based on Virtualized Managed Framework
Studies elastic computing algorithms for large scale FCD, implements the system and experimental platform based on the distributed parallel processing method and virtualized managed framework. The platform processes data including FCD as well as remote sensing data after adaption. Experimental results of Beijing floating car and road network real data testing show that the processing efficiency is significantly improved, and the processing time is reduced by load balancing optimizing. On the basis, computing units are managed properly and computing capabilities are elastic according to order of tasks' importance or urgency and virtual resources. The validity of the algorithm is verified, the efficiency problem of operating massive complex spatial data is solved in a better way.