Abstract：The servers in large media streaming systems need to handle a large number of requests from all around the world. However, due to the increasing dynamic media content and because existing cloud-based architectures cannot provide enough benefits, the service provider needs to utilize a hybrid architecture composed of a content delivery network with private and cloud data centers to provide sufficient quality of service while reducing costs. This paper describes a general resource scheduling problem for this scenario for a hybrid cloud, which is then transformed into a Nash bargaining problem. A fast Nash bargaining algorithm is given based on a geometrical perspective of the problem. Tests show that the algorithm improves the quality of service and reduces expenses by about 40% compared with a traditional hybrid architecture, so it can effectively handle large amounts of dynamic media content.
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LIU Yang, WEI Wei. Fast Nash bargaining algorithm for resource scheduling problems with a large number of media streaming channels. Journal of Tsinghua University(Science and Technology), 2017, 57(10): 1056-1062.
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2017, Vol. 57 
