Research on data location method under the cloud computing environment
Qiang Zhu · Advances in computer science research · 2015
in the research process of data location method under the cloud computing environment, with the current algorithm to locate data, complexity of correlation time is too high, results in large error for positioning.Therefore, a data location method under the cloud computing environment is proposed based on improved Calman filter algorithm.The method under cloud computing environment, first employs weighted least square method WLS to solve equation, so as to extract estimated value of data initial position, on this basis, the data fusion technology is adopted to eliminate the error existed in the initial position estimated data effectively, RSS value is viewed as weight to process optimal linear weighted, so as to get better data location estimation value, the estimated value is verified by the Calman filter, effectively complete the data location under cloud computing environment.Simulation results show that data positioning method based on improved Calman filter algorithm under cloud computing environment his high precision and strong adaptability.