面向移动云计算任务调度的改进鸟群算法研究.

Aiming at the problem of long time-consuming and high equipment energy consumption for task scheduling in mobile cloud computing environment,this paper proposed a task scheduling strategy based on improved bird swarm algorithm(IBSA).Firstly,the method constructed a mobile cloud task scheduling model based on energy consumption and time.Secondly,it proposed adaptive sensing coefficients and social coefficients to prevent the algorithm from falling into a local optimum.It optimized the learning factors to optimize flight behavior and ensure that superior ability.Finally,it used the task scheduling objective function as the fitness function of the bird group to participate in the iterative updating of the algorithm.The simulation results show that the IBSA has good effects in mobile cloud computing task scheduling compared with ant colony algorithm,particle swarm algorithm,whale algorithm and bird swarm algorithm,which can effectively save time and reduce energy consumption. [ABSTRACT FROM AUTHOR]