Cloud Computing and Dynamic Resource Allocation for Multimedia Applications
1Ryerson University, Toronto, ON, Canada M5B 2K3
2Microsoft Research Asia, Beijing 100080, China
3University of South Australia, Adelaide, Australia
Cloud Computing and Dynamic Resource Allocation for Multimedia Applications
Description
Recently, cloud computing technology has offered great opportunities for multimedia applications. The cloud computers, the clients, and the networks connecting them constitute a client-cloud multimedia system in which the cloud computers handle the data-intensive computing tasks and the clients become much more lightweight and mobile. The performance of the client-cloud multimedia system can be improved by jointly optimizing the resources in the cloud, at each client, and along the network path. However, a multimedia system is essentially dynamic due to the source dynamics, the channel dynamics, and the topology dynamics. The source dynamics are represented by the time-varying rate-distortion characteristics of the encoded multimedia content. The channel dynamics are caused by the time-varying channel conditions. The topology dynamics are due to the dynamic clients, which may join or leave the system at any time. Therefore, various resources need to be optimally allocated in a dynamic setting to maximize the system performance.
This special issue seeks high-quality papers in the areas of cloud computing and dynamic resource allocation for multimedia applications. Potential topics of interest include, but are not limited to:
- Source/channel coding/adaptation techniques for multimedia transmission
- Dynamic resource allocation and management for multimedia communications
- Dynamic network utility maximization for multimedia communications
- Pricing models, game theoretical approaches, auction algorithms, and other economic theories for collaborative multimedia transmission
- Cognitive radio techniques for multimedia transmission
- Multimedia processing in the cloud
- Mobile video streaming, Peer-to-Peer (P2P) live/on-demand video streaming via the cloud
- Video surveillance in mobile and cloud environment
- Optimal resource allocation in client-cloud multimedia systems
- Performance evaluation of client-cloud multimedia systems
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