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Multimedia conferencing is the conversational exchange of multimedia contentbetween multiple parties. It has a wide range of applications (e.g. MassivelyMultiplayer Online Games (MMOGs) and distance learning). Many multimediaconferencing applications use video extensively, thus video mixing inconferencing settings is of critical importance. Cloud computing is atechnology that can solve the scalability issue in multimedia conferencing,while bringing other benefits, such as, elasticity, efficient use of resources,rapid development, and introduction of new applications. However, proposedcloud-based multimedia conferencing approaches so far have several deficiencieswhen it comes to efficient resource usage while meeting Quality of Service(QoS) requirements. We propose a solution to optimize resource allocation forcloud-based video mixing service in multimedia conferencing applications, whichcan support scalability in terms of number of users, while guaranteeing QoS. Weformulate the resource allocation problem mathematically as an Integer LinearProgramming (ILP) problem and design a heuristic for it. Simulation resultsshow that our resource allocation model can support more participants comparedto the state-of-the-art, while honoring QoS, with respect to end-to-end delay.

A Resource Allocation Mechanism for Video Mixing as a Cloud Computing Service in Multimedia Conferencing Applications