面向应用检测任务的负载均衡算法研究

Research on Load Balancing Algorithm for Application Detection Task

随着移动应用数量剧增,移动应用安全检测的需求日益增大,面向海量移动应用检测平台的效率显得愈发重要。然而现有的负载均衡算法在负载因子的度量上存在局限性和效率问题。分析了已有调度算法中负载因子度量的不足,结合现有的移动应用检测方法的特性,引入了移动应用软件规模作为负载因子。根据该算法,设计了一个移动应用检测平台,通过实验验证,该算法有效避免了海量任务下检测节点负载不均衡的问题,加快了移动应用的检测效率,提高了海量移动应用检测平台的吞吐量,取得良好效果。

With the increasing number of mobile applications,the demand for mobile application security detection is increasing, and the efficiency of testing platform for mass mobile application is becoming more and more important. However,the existing load balancing algorithm has the limitation and efficiency problem in the measure of load factor. This paper analyzes the shortcomings of the load factor measurement in the existing scheduling algorithm,and introduces the mobile application software scale as the load factor in combination with the characteristics of the existing mobile application detection method. According to the algorithm,this paper designs a mobile application detection platform. The experiment proves that the algorithm can effectively avoid the problem of unbalanced node load under mass task,accelerate the detection efficiency of mobile application,it improve the throughput of the mass mobile application testing platform,and achieved good results.