Security service function chain based on graph neural network
W Li, H Wang, X Zhang, D Li, L Yan, Q Fan, Y Jiang… - Information, 2022 - mdpi.com
With the rapid development and wide application of cloud computing, security protection in
cloud environment has become an urgent problem to be solved. However, traditional …
cloud environment has become an urgent problem to be solved. However, traditional …
GCN-Based Multi-Agent Deep Reinforcement Learning for Dynamic Service Function Chain Deployment in IoT
S Wang, H Cao, L Yang, S Garg… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The rapid development of technologies such as the Internet of Things, SDN/NFV, and 6G is
driving up the demand for dynamic deployment of service function chains (SFC). These …
driving up the demand for dynamic deployment of service function chains (SFC). These …
Predictive auto-scaling with OpenStack Monasca
Cloud auto-scaling mechanisms are typically based on reactive automation rules that scale
a cluster whenever some metric, eg, the average CPU usage among instances, exceeds a …
a cluster whenever some metric, eg, the average CPU usage among instances, exceeds a …
Graph attention lstm for load prediction of fine-grained vnfs in sfc
Y Wu, J Liu, C Wang, Q Yang - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
Service Function Chain (SFC) is composed of an ordered set of service functions, which are
also noted as virtual network function (VNF) instances, to adaptively form a composite …
also noted as virtual network function (VNF) instances, to adaptively form a composite …
Flow aggregation through dynamic routing overlaps in software defined networks
Z Zhao, W Yang, B Wu - Computer Networks, 2020 - Elsevier
There are huge amounts of flows in a Software Defined Network (SDN) sharing limited flow
table space in the Ternary Content Addressable Memory (TCAM) at each SDN switch. To …
table space in the Ternary Content Addressable Memory (TCAM) at each SDN switch. To …
NFVLearn: A multi‐resource, long short‐term memory‐based virtual network function resource usage prediction architecture
Virtual resource load prediction in network function virtualization (NFV) is the subject of
intense research due to its crucial role in enabling proactive resource adaptation in dynamic …
intense research due to its crucial role in enabling proactive resource adaptation in dynamic …
Enabling SDN hypervisor provisioning through accurate CPU utilization prediction
Providing predictable performance to tenants is mission critical for network hypervisors. As a
hypervisor acts as an intermediary between tenants controllers and the physical …
hypervisor acts as an intermediary between tenants controllers and the physical …
Application of Machine Learning and Deep Learning Algorithms in Predicting Virtual Network Functions for Network Function Virtualization
C Spandana, IV Srisurya… - 2023 14th …, 2023 - ieeexplore.ieee.org
Network functions virtualization (NFV) is a methodology that replaces hardware
middleboxes with more flexible software alternatives called virtualized network functions …
middleboxes with more flexible software alternatives called virtualized network functions …
Graph Transformer and LSTM Attention for VNF Multi-Step Workload Prediction in SFC
Y Wu, J Liu, C Wang, X Xie, G Shi - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The knowledge on a Service Function Chain's (SFC's) resource requirements is an
indispensable prerequisite for proactive resource provisioning and run-time management of …
indispensable prerequisite for proactive resource provisioning and run-time management of …
Predictive resource allocation and VNF deployment using ensemble learning
S Dubba, S Gupta, BR Killi - Multimedia Tools and Applications, 2024 - Springer
Network function virtualization allows the implementation of network services on readily
available commercial off-the-shelf servers. A primary obstacle is efficiently, autonomously …
available commercial off-the-shelf servers. A primary obstacle is efficiently, autonomously …