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Software Defined Networking (SDN) is an emerging networking paradigm which intends to merge networks into the age of the cloud, providing fine-grained control, simplified configurations, unprecedented flexibility and seamless scalability. However, due to the large set of unresolved challenges as well as the deployment cost, network evolution to fully SDN systems will take a long time. In fact, SDN...
Mobile networks are undergoing fast evolution from the fourth-generation (4G)/Long Term Evolution (LTE) to the fifth generation (5G) so as to keep pace with the ever-increasing data traffic, mainly fueled by large-object delivery, such as video streams. To cope with the traffic growth, next evolution will integrate functionalities of content distribution networks (CDNs) in various manners, from in-network...
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and valuable knowledge from these networked data sources. In this paper, we investigate clustering, one of the most important data mining tasks, in one of such networked computing environments, i.e., Peer-to-Peer (P2P) network...
Motion controllers capable of incremental learning and optimization can automatically tune their parameters to pursue optimal control. By implementing reinforcement learning and approximate dynamic programming, an adaptive critic motion controller is shown able to achieve this objective. The control policy and the adaptive critic are implemented by sparse radial basis function networks. The policy...
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