High reliable real-time bandwidth scheduling for virtual machines with hidden Markov predicting in telehealth platform
We design a service-oriented architecture (SOA) for telehealth service in cloud. We propose a data coherence protocol among distributed Dcs to measure the bandwidth demand. A HMM-based bandwidth predicting algorithm is designed to help cloud broker manage the network resource effectively. A bandwidth allocating module is implemented for bandwidth allocating and recycling. The reliability and sensitivity of the model are tested, and the performance is much better than other four traditional predicting approaches.
reliable bandwidth prediction telehealth hmm data center