[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 …

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 …

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 …

Energy-aware routing in carrier-grade Ethernet using SDN approach

R Maaloul, R Taktak, L Chaari… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

RESDN: A novel metric and method for energy efficient routing in software defined networks

BG Assefa, Ö Özkasap - IEEE Transactions on Network and …, 2020 - ieeexplore.ieee.org
Software-defined networking (SDN) paradigm, with the flexible and logically centralized
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

BR Dawadi, DB Rawat, SR Joshi… - The Electronic Journal …, 2020 - Wiley Online Library
The use of information and communication technology (ICT) has resulted in significant
impacts on social welfare, economic growth, transparency, and good governance in …

A temporal deep Q learning for optimal load balancing in software-defined networks

A Sharma, V Balasubramanian, J Kamruzzaman - Sensors, 2024 - mdpi.com
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 …

Deep learning-based traffic prediction for energy efficiency optimization in software-defined networking

X Chen, X Wang, B Yi, Q He, M Huang - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
Extensive redundant links and dedicated network components are deployed in existing
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

BG Assefa, O Ozkasap - 2018 IEEE 16th Intl Conf on …, 2018 - ieeexplore.ieee.org
Software Defined Networking (SDN) achieves programmability of a network through
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

BG Assefa, O Ozkasap - arXiv preprint arXiv:1909.08074, 2019 - researchgate.net
Combining the capabilities of the programmability of networks by SDN and discovering
patterns by machine learning are utilized in security, traffic classification, QoS prediction …