[HTML][HTML] A comprehensive survey on segment routing traffic engineering
D Wu, L Cui - Digital Communications and Networks, 2023 - Elsevier
Traffic Engineering (TE) enables management of traffic in a manner that optimizes utilization
of network resources in an efficient and balanced manner. However, existing TE solutions …
of network resources in an efficient and balanced manner. However, existing TE solutions …
Dynamics of research into modeling the power consumption of virtual entities used in the telco cloud
EV Depasquale, F Davoli, H Rajput - Sensors, 2022 - mdpi.com
This article is a graphical, analytical survey of the literature, over the period 2010–2020, on
the measurement of power consumption and relevant power models of virtual entities as …
the measurement of power consumption and relevant power models of virtual entities as …
Energy aware fixed priority scheduling in mixed-criticality systems
YW Zhang, RK Chen - Computer Standards & Interfaces, 2023 - Elsevier
Most of studies about energy management for MC systems are based on dynamic priority
scheme. The disadvantages of dynamic priority scheme are high system overhead and poor …
scheme. The disadvantages of dynamic priority scheme are high system overhead and poor …
Energy-aware routing in carrier-grade Ethernet using SDN approach
Soft-defined networking (SDN) is a new approach that enables operators to easily manage
all the network elements. In this paper, we address the problem of energy-aware routing in …
all the network elements. In this paper, we address the problem of energy-aware routing in …
RESDN: A novel metric and method for energy efficient routing in software defined networks
Software-defined networking (SDN) paradigm, with the flexible and logically centralized
control, enables dynamically minimizing the network energy consumption by redirecting …
control, enables dynamically minimizing the network energy consumption by redirecting …
Towards energy efficiency and green network infrastructure deployment in Nepal using software defined IPv6 network paradigm
The use of information and communication technology (ICT) has resulted in significant
impacts on social welfare, economic growth, transparency, and good governance in …
impacts on social welfare, economic growth, transparency, and good governance in …
A temporal deep Q learning for optimal load balancing in software-defined networks
With the rapid advancement of the Internet of Things (IoT), there is a global surge in network
traffic. Software-Defined Networks (SDNs) provide a holistic network perspective, facilitating …
traffic. Software-Defined Networks (SDNs) provide a holistic network perspective, facilitating …
Deep learning-based traffic prediction for energy efficiency optimization in software-defined networking
Extensive redundant links and dedicated network components are deployed in existing
networks to avoid network congestion caused by peak traffic. These network components …
networks to avoid network congestion caused by peak traffic. These network components …
MER-SDN: Machine learning framework for traffic aware energy efficient routing in SDN
Software Defined Networking (SDN) achieves programmability of a network through
separation of the control and data planes. It enables flexibility in network management and …
separation of the control and data planes. It enables flexibility in network management and …
[PDF][PDF] HyMER: A hybrid machine learning framework for energy efficient routing in SDN
Combining the capabilities of the programmability of networks by SDN and discovering
patterns by machine learning are utilized in security, traffic classification, QoS prediction …
patterns by machine learning are utilized in security, traffic classification, QoS prediction …