DRL-QOR: Deep reinforcement learning-based QoS/QoE-aware adaptive online orchestration in NFV-enabled networks
J Chen, J Chen, H Zhang - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
Faced with fluctuating network traffic and unknown underlying network traffic dynamics,
developing an effective orchestration model with low network cost is still a critical issue in …
developing an effective orchestration model with low network cost is still a critical issue in …
Flow-aware elephant flow detection for software-defined networks
Software-defined networking (SDN) separates the network control plane from the packet
forwarding plane, which provides comprehensive network-state visibility for better network …
forwarding plane, which provides comprehensive network-state visibility for better network …
Intelligently modeling, detecting, and scheduling elephant flows in software defined energy cloud: A survey
Elephant flows (elephants) refer to the sequences of packets that contribute only 10% of the
total volume but consume over 90% of the network bandwidth. They often cause network …
total volume but consume over 90% of the network bandwidth. They often cause network …
Detection and classification of conflict flows in SDN using machine learning algorithms
Software-Defined Networking (SDN) is a new type of technology that embraces high
flexibility and adaptability. The applications in SDN have the ability to manage and control …
flexibility and adaptability. The applications in SDN have the ability to manage and control …
TSSM: Time-sharing switch migration to balance loads of distributed SDN controllers
Software-defined networking (SDN) makes network management easier by using a
controller to govern all switches, but the controller may become a performance bottleneck …
controller to govern all switches, but the controller may become a performance bottleneck …
DDoS defense for IoT: A Stackelberg game model-enabled collaborative framework
The proliferation of Distributed Denial of Service (DDoS) attacks in Internet of Things (IoT)
not only threatens the security of digital devices and infrastructure but also severely …
not only threatens the security of digital devices and infrastructure but also severely …
Early detection of abnormal attacks in software-defined networking using machine learning approaches
HM Chuang, F Liu, CH Tsai - Symmetry, 2022 - mdpi.com
Recent developments have made software-defined networking (SDN) a popular technology
for solving the inherent problems of conventional distributed networks. The key benefit of …
for solving the inherent problems of conventional distributed networks. The key benefit of …
Online elephant flow prediction for load balancing in programmable switch based DCN
S Xie, G Hu, C Xing, Y Liu - IEEE Transactions on Network and …, 2023 - ieeexplore.ieee.org
In the data center network, traffic has a distinct heavy-tailed distribution characteristic, with
the minority of throughput-sensitive elephant flows occupy most of the bandwidth and the …
the minority of throughput-sensitive elephant flows occupy most of the bandwidth and the …
Traffic classification in IP networks through Machine Learning techniques in final systems
J Gómez, VH Riaño, G Ramirez-Gonzalez - IEEE Access, 2023 - ieeexplore.ieee.org
Data centers in higher education institutions, as well as those of large corporations, face
challenges in terms of traffic flow management. In some cases, due to the limited hardware …
challenges in terms of traffic flow management. In some cases, due to the limited hardware …
[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 …