Abstract:  Aiming at large number of concurrent video request for mobile video users, in order to solve the problems that the load feedback of streaming media cluster nodes is not timely, the node selection is not accurate, and the node load is too heavy, which leads to the user satisfaction degrading, this paper puts forward an improved dynamic feedback load balancing algorithm. The static and dynamic load factors are considered to measure the service performance and current load of each node. The load weight vector is calculated by using analytic hierarchy process; meanwhile the load weight is calculated, the residual load is introduced and modified, which makes the description of cluster load conditions more accurate, improves the load gradient caused by the sudden increase of requests in the traditional dynamic feedback load balancing algorithm. The experimental results show that the algorithm achieves multi-node load dynamic balance, improves the efficiency of the nodes.

Key words: streaming media clusters, dynamic feedback, analytic hierarchy process, load weight, residual load