6 papers
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Ke Zhang +2
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data and multimedia content to be cached in proximity to vehicles. However, high mobility of vehicle…
Joint Offloading and Resource Allocation in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Sabita Maharjan +1
The emergence of computation intensive on-vehicle applications poses a significant challenge to provide the required computation capacity and maintain high performance. Vehicular E…
A Resource Pooling Switch Architecture with High Performance Scheduler
Jiong Du, Fei Hu, Du Xu
With the rapid development of network-based services and applications, current data plane solutions of network node, which focus on packets forwarding traditionally, are not optima…
Optimized Deployment of Network Function for Resource Pooling Switch
Fei Hu, Jiong Du, Du Xu
The disadvantages of the combination of traditional switches and middleboxes have being exposed under the condition of increasingly various network function demands,such as functio…
Incentivizing Users of Data Centers Participate in The Demand Response Programs via Time-Varying Monetary Rewards
Yong Zhan, Du Xu, Hongfang Yu +1
Demand response is widely employed by today's data centers to reduce energy consumption in response to the increasing of electricity cost. To incentivize users of data centers part…
Optimal Response to Burstable Billing under Demand Uncertainty
Yong Zhan, Mahdi Ghamkhari, Hossein Akhavan-Hejazi +2
Burstable billing is widely adopted in practice, e.g., by colocation data center providers, to charge for their users, e.g., data centers, for data transferring. However, there is…