Cooperative Content Dissemination Based on User Grouping in Multimedia Cloud

The developments of network infrastructures and personal intelligent devices, e.g., smart phones, makes the multimedia related services play an important role in network user applications. However, users are still troubled by limited bandwidth, burst of incoming service requests, and imbalance of content dissemination while enjoying the multimedia services. In this paper, we proposed a user grouping-based cooperative content dissemination method in multimedia cloud. In this method, network users with similar location and the same multimedia service demand are categorized to user groups, in which some users are selected as service users to in charge for obtaining multimedia contents from the cloud, and disseminating the obtained contents to the rest non-service users in the same group. To solve the problem of optimal service user selection, users are modeled as self-interested entities whose behaviors depend on their utility functions. Through an improved extremum disturbed particle swarm optimization algorithm the appropriate number of service users is obtained. Experimental results show that our proposed cooperative multimedia content dissemination method performs significantly well in improving overall system performance and reducing the total cost of multimedia cloud users.