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Flexible support of VNF placement functions in OpenStack
Proceedings of the 2015 1st IEEE Conference on Network Softwarization (NetSoft), 2015In the context of virtualization and cloud computing, a currently interesting topic is the movement of network functions into the cloud. Since these Virtualized Network Functions have high performance and availability requirements, the placement and resilient deployment of these functions are important issues.
Simon Oechsner, Andreas Ripke
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Optimal VNF Placement: Addressing Multiple Min-Cost Solutions
2019Network Function Virtualization (NFV) can lower the CAPEX and/or OPEX for service providers and allows to deploy services quickly. Randomly placing Network Functions (NF) in the network can cause excessive use of resources such as bandwidth (BW). Consequently, many researchers proposed optimal placement strategies, which place NFs with minimum cost ...
Zahra Jahedi, Thomas Kunz
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PSVShare: A Priority-based SFC placement with VNF Sharing
2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2020Edge computing resources deployed at the access network are distributed and limited compared to the abundant core cloud resources. With the increasing demand on edge resources by emerging delay-sensitive use-cases, efficient resource utilization is to play an indispensable role.
Amir Mohamad, Hossam S. Hassanein
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Dynamic VNF Placement in 5G Edge Nodes
2022 IEEE 8th International Conference on Network Softwarization (NetSoft), 2022Dor Harris, Danny Raz
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Efficient VNF Placement for Poisson Arrived Traffic
IEEE Transactions on Network and Service Management, 2021Jie Sun +5 more
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Intelligent Automated NFV Deployment with Optimized VNF Placement
International Scientific Journal of Engineering and ManagementAbstract: This project focuses on developing an intelligent and automated system for Network Function Virtualization (NFV) deployment with optimized Virtual Network Function (VNF) placement. The system leverages machine learning techniques to continuously monitor traffic patterns and detect overloaded or underutilized nodes within the network.
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Multi-objective VNF Placement Optimization with NSGA-III
2023Mahmoud Bekhit +3 more
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Joint Dynamical VNF Placement and SFC Routing in NFV-Enabled SDNs
IEEE Transactions on Network and Service Management, 2021Liang Liu, Songtao Guo, Guiyan Liu
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Combining Deep Reinforcement Learning With Graph Neural Networks for Optimal VNF Placement
IEEE Communications Letters, 2021Penghao Sun, Zehua Guo
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