Visualized Data Processing Technology under Cloud Computing
Yueqi Zi, Gao Jin, Sun Yongqiang, Yi Sun · 2016
This paper puts forward visualized data arrangement strategy of self-adaptation cloud computing, dynamically arranges virtual machine to physical host with less resources, so that it closes idle host, perceives optimal regression algorithm by combining with maximum relevant strategy and energy, so that it realizes dynamic balance of host load and increases efficiency as well as realizes service hand-over with higher reliability by load prediction of host resources, which avoids excessive SLA violation between user and resources suppliers. The test result indicates that reducing energy consumption and times of SLA violation can effectively enhance the overall resources utilization rate of cloud computing center.