Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Scheduling Wireless Virtual Networks Functions
VNF-P: A model for efficient placement of virtualized network functions
A new model for packet scheduling in multihop wireless networks
A dynamic scheduling algorithm for bandwidth reservation requests in software-defined networks
Topology-Aware Prediction of Virtual Network Function Resource Requirements
Delay-bounded packet scheduling of bursty traffic over wireless channels
New Scheduling Architecture for IEEE 802.16 Wireless Metropolitan Area Network
Piecing together the NFV provisioning puzzle: Efficient placement and chaining of virtual network functions
Prediction-based Dynamic Resource Scheduling for Virtualized Cloud Systems
Distributed resource allocation in virtualized wireless cellular networks based on ADMM
MDP and Machine Learning-Based Cost-Optimization of Dynamic Resource Allocation for Network Function Virtualization
Specifying and Placing Chains of Virtual Network Functions
Adaptive usage of cellular and WiFi bandwidth: an optimal scheduling formulation
Neural network-based autonomous allocation of resources in virtual networks
Bandwidth calendaring: Dynamic services scheduling over Software Defined Networks
Performance considerations of network functions virtualization using containers
CIVSched: Communication-aware Inter-VM Scheduling in Virtual Machine Monitor Based on the Process
Virtual Network Function Placement Considering Resource Optimization and SFC Requests in Cloud Datacenter
WVCC: Weighted Virtual Congestion Control for Datacenter Networks
Characterizing the Performance of Concurrent Virtualized Network Functions with OVS-DPDK, FD.IO VPP and SR-IOV
Towards making network function virtualization a cloud computing service
Resource Management in Clouds: Survey and Research Challenges
Table Recognition in Heterogeneous Documents Using Machine Learning
Compact modeling of stress effects in scaled CMOS
Polymer-Drug Conjugates for Anticancer Drug Delivery
The affective and cognitive empathic nature of the dark triad of personality