Load Balancing Optimization in Cloud Computing Based on Task Scheduling
Ling Tang · 2018
Load imbalance tends to be occurred in cloud computing during to dynamics and complexity. For such problem in the application of cloud computing scheduling, we put forward a Map/Reduce programming model to provide an improved multitask scheduling algorithm which has assigning function on multiple schedules. Then the algorithm process model based on cloud computing platform is constructed, and the load balancing optimization model based on GA is also proposed. The simulations show. The scheme in this paper can satisfy the demand for load balancing under cloud computing and it improves the resource utilization, compared to Min-Min algorithm.