Fine-Grained Flow Control Agent on Path MTU for IoT Software
Internet of Things (IoT) software is used to control the distributed hardware of the underlying
network and provide a reliable operating platform for various services. In production system …
network and provide a reliable operating platform for various services. In production system …
Neural network Based tuning of the Initial Congestion Window of Thin-streamed Application Traffic
MR Kanagarathinam… - 2022 IEEE Globecom …, 2022 - ieeexplore.ieee.org
The thin-streamed application traffic (such as gaming and Internet of Things IoT) has
recently dominated internet traffic. The TCP congestion control mechanisms are mainly …
recently dominated internet traffic. The TCP congestion control mechanisms are mainly …
Leveraging the big data produced by the network to take intelligent decisions on flow management
Software-defined network (SDN) offers a very advantageous feature of programming the
network at run time by decoupling the control plane from data plane to have centralized and …
network at run time by decoupling the control plane from data plane to have centralized and …
Flow-level traffic engineering in conventional networks with hop-by-hop routing
N Geng, Y Yang, M Xu - 2018 IEEE/ACM 26th International …, 2018 - ieeexplore.ieee.org
A fine-grained traffic engineering (TE) that enables per-flow control is considered to be
necessary in future Internet. In this paper, we study to realize flow-level TE in conventional …
necessary in future Internet. In this paper, we study to realize flow-level TE in conventional …
Efficient DRL-Based Congestion Control With Ultra-Low Overhead
H Tian, X Liao, C Zeng, D Sun… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
Previous congestion control (CC) algorithms based on deep reinforcement learning (DRL)
directly adjust flow sending rate to respond to dynamic bandwidth change, resulting in high …
directly adjust flow sending rate to respond to dynamic bandwidth change, resulting in high …
Spine: an efficient DRL-based congestion control with ultra-low overhead
Previous congestion control (CC) algorithms based on deep reinforcement learning (DRL)
directly adjust flow sending rate to respond to dynamic bandwidth change, resulting in high …
directly adjust flow sending rate to respond to dynamic bandwidth change, resulting in high …
IARA: An intelligent application-aware VNF for network resource allocation with deep learning
Application awareness is essential for traffic engineering and Quality of Service (QoS)
guarantee, especially in Internet of Things (IoT). Software Defined Network (SDN) with …
guarantee, especially in Internet of Things (IoT). Software Defined Network (SDN) with …
QoS-aware adaptive flow-rule aggregation in software-defined IoT
In this paper, we propose a QoS-aware adaptive flow-rule aggregation scheme in software-
defined IoT (SDIoT) network with an aim to address flow-table overflow problem in SDN …
defined IoT (SDIoT) network with an aim to address flow-table overflow problem in SDN …
Efficient SDN-Based Traffic Monitoring in IoT Networks with Double Deep Q-Network
Abstract In an Internet of Things (IoT) environment, network traffic monitoring tasks are
intractable to achieve due to various IoT traffic types. Recently, the development of Software …
intractable to achieve due to various IoT traffic types. Recently, the development of Software …
Application-aware traffic management for openflow networks
Software-Defined Networking (SDN) is an emerging networking paradigm aims to improve
network management flexibility and efficiency. OpenFlow is the popular SDN de-facto …
network management flexibility and efficiency. OpenFlow is the popular SDN de-facto …