A survey on the contributions of software-defined networking to traffic engineering
Since the appearance of OpenFlow back in 2008, software-defined networking (SDN) has
gained momentum. Although there are some discrepancies between the standards …
gained momentum. Although there are some discrepancies between the standards …
Software-defined networking for internet of things: A survey
Internet of things (IoT) facilitates billions of devices to be enabled with network connectivity
to collect and exchange real-time information for providing intelligent services. Thus, IoT …
to collect and exchange real-time information for providing intelligent services. Thus, IoT …
Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques--A Comprehensive Survey
At present, the Internet is facing numerous attacks of different kinds that put its data at risk.
The safety of information within the network is, therefore, a significant concern. To prevent …
The safety of information within the network is, therefore, a significant concern. To prevent …
Pratyaastha: an efficient elastic distributed sdn control plane
A Krishnamurthy, SP Chandrabose… - Proceedings of the third …, 2014 - dl.acm.org
Several distributed SDN controller architectures have been proposed to mitigate the risks of
overload and failure. However, since they statically assign switches to controller instances …
overload and failure. However, since they statically assign switches to controller instances …
[HTML][HTML] Sieve: A flow scheduling framework in SDN based data center networks
Today's data centers act as the primary infrastructure for emerging technologies. QoS
imposes requirements for more attentive techniques that can deal with different …
imposes requirements for more attentive techniques that can deal with different …
OFLoad: An OpenFlow-based dynamic load balancing strategy for datacenter networks
R Trestian, K Katrinis… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The latest tremendous growth in the Internet traffic has determined the entry into a new era
of mega-data centers meant to deal with this explosion of data traffic. However, this big data …
of mega-data centers meant to deal with this explosion of data traffic. However, this big data …
[PDF][PDF] Traffic engineering in software defined networks: a survey
An important technique to optimize a network and improve network robustness is traffic
engineering. As traffic demand increases, traffic engineering can reduce service …
engineering. As traffic demand increases, traffic engineering can reduce service …
Pythia: Faster big data in motion through predictive software-defined network optimization at runtime
The rise of Internet of Things sensors, social networking and mobile devices has led to an
explosion of available data. Gaining insights into this data has led to the area of Big Data …
explosion of available data. Gaining insights into this data has led to the area of Big Data …
Machine learning based flow classification in DCNs using P4 switches
R Kamath, KM Sivalingam - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
This paper deals with classifying flows in data center networks, primarily based on the flows'
volume of traffic and duration. Flows are typically classified as long-lived flow or short-lived …
volume of traffic and duration. Flows are typically classified as long-lived flow or short-lived …
Taxonomy of traffic engineering mechanisms in software-defined networks: a survey
R Mohammadi, S Akleylek, A Ghaffari… - Telecommunication …, 2022 - Springer
Nowadays, many applications need varying levels of Quality of Service (QoS). The network
that provides the communication service connects the servers and clients. The network traffic …
that provides the communication service connects the servers and clients. The network traffic …