A tale of two (flow) tables: Demystifying rule caching in openflow switches
R Li, Y Pang, J Zhao, X Wang - … of the 48th International Conference on …, 2019 - dl.acm.org
Software Defined Networking (SDN) enables flexible flow control by deploying fine-grained
rules in OpenFlow switches. Modern commodity switches usually use TCAM to store these …
rules in OpenFlow switches. Modern commodity switches usually use TCAM to store these …
On optimizing firewall performance in dynamic networks by invoking a novel swapping window–based paradigm
Designing and implementing efficient firewall strategies in the age of the internet of things is
far from trivial. This is because, as time proceeds, an increasing number of devices will be …
far from trivial. This is because, as time proceeds, an increasing number of devices will be …
Efficient differentiated storage architecture for large-scale flow tables in software-defined wide-area networks
B Xiong, R Wu, J Zhao, J Wang - IEEE Access, 2019 - ieeexplore.ieee.org
As a novel network paradigm, Software Defined Networking (SDN) decouples control logic
functions from data forwarding devices, and introduces a separate control plane to …
functions from data forwarding devices, and introduces a separate control plane to …
A Network Segmentation Architecture for Flow Aggregation and DDoS Mitigation in SDN Using RAPID Flow Rules
Distributed Denial-of-Service (DDoS) attacks have always posed a major threat to networks
directly or as a cover for more sophisticated attacks. In recent years, with advances such as …
directly or as a cover for more sophisticated attacks. In recent years, with advances such as …
An optimization-based approach for flow table capacity bottleneck mitigation in software-defined networks
R Bauer, M Zitterbart - arXiv preprint arXiv:2109.08482, 2021 - arxiv.org
Flow delegation is a flexible technique to mitigate flow table capacity bottlenecks in Software-
defined Networks (SDN). Such bottlenecks occur when SDN switches provide insufficient …
defined Networks (SDN). Such bottlenecks occur when SDN switches provide insufficient …
Cyber-Physical Systems Optimization with Reinforcement Learning: Methods and Applications
X Ding - 2023 - escholarship.org
Cyber-physical systems rely on many control and decision-making algorithms. However, the
majority of cyber-physical systems today are still operated by simple rule-based and …
majority of cyber-physical systems today are still operated by simple rule-based and …
Efficient differentiated storage architecture for large-scale flow tables in openflow networks
B Xiong, R Wu, Z Liao, J Wang - 2019 IEEE 21st International …, 2019 - ieeexplore.ieee.org
As a novel network paradigm, Software Defined Networking (SDN) decouples control logic
functions from data forwarding devices, and introduces a separate control plane to …
functions from data forwarding devices, and introduces a separate control plane to …
[PDF][PDF] VMR2L: Virtual Machines Rescheduling Using Reinforcement Learning in Data Centers
Modern industry-scale data centers need to manage a large number of virtual machines
(VMs). Due to the continual creation and release of VMs, many small resource fragments are …
(VMs). Due to the continual creation and release of VMs, many small resource fragments are …
Improving the Efficiency of Flow Table Updates in Software Defined Networks
A Atiyah - 2018 - search.proquest.com
Abstract Software Defined Networking (SDN) splits the network processing into a control
plane and data plane. SDN places less intelligence in the data plane and moves it to a fully …
plane and data plane. SDN places less intelligence in the data plane and moves it to a fully …