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Multimedia conferencing is used extensively in a wide range of applications,such as online games and distance learning. These applications need toefficiently scale the conference size as the number of participants fluctuates.Cloud is a technology that addresses the scalability issue. However, theproposed cloud-based solutions have several shortcomings in considering thefuture demand of applications while meeting both Quality of Service (QoS)requirements and efficiency in resource usage. In this paper, we propose anAdaptive and Dynamic Scaling mechanism (ADS) for multimedia conferencingservices in the cloud. This mechanism enables scalable and elastic resourceallocation with respect to the number of participants. ADS produces acost-efficient scaling schedule while considering the QoS requirements and thefuture demand of the conferencing service. We formulate the problem usingInteger Linear Programming (ILP) and design a heuristic for it. Simulationresults show that ADS mechanism elastically scales conferencing services.Moreover, the ADS heuristic is shown to outperform a greedy algorithm from aresource-efficiency perspective.

ADS: Adaptive and Dynamic Scaling Mechanism for Multimedia Conferencing Services in the Cloud