Multimedia user request scheduling using single kernerl — SVM and fast Lyapunov in H-Cloud

The evolution cloud computing have distributed services by combining the exiting clouds with resource and service, convert into hybrid cloud (H-Cloud). In the recent days development in communication and any of its related technology most use multimedia data. Hence the flooding in user request for access and processing of multimedia data to cloud is high and it results in delayed processing of the request, which in turn leads to increase in waiting time of the response and availability of the service to the H-Cloud users. The proposed SK-SVM-FLA (Single Kernel-Support Vector Machine - Fast Lyapunov) algorithm uses SVM classification for media based user request and FLA schedules the user request as jobs and executes the jobs efficiently and based on the optimal waiting time scheduling is adaptively executed on the availability of the computing resource. Comparative analysis is done with existing PSO algorithm and effective scheduling and increase in makespan and throughput is achieved.