Implementation of Load Balancing Method for Cloud Service with OpenFlow

In this paper, we use a wildcard mask to implement the load balance method directly on switches or routers and add a user prediction mechanism to dynamically change the range of the wildcard mask; in this way, the load balance mechanism can be applied conforming to real service situations. In our experiment, we tested the accuracies of flow prediction with different prediction algorithms and compared the delay times and balance effects of the proposed method with other load balancers. With the popularity of cloud computing, the demand of cloud infrastructure also increases. As a result, we also applied our load balance mechanism on cloud services and have proven that the proposed method can be easily applied on varieties of service platforms.