Survey on machine learning for traffic-driven service provisioning in optical networks
T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …
A Long Short-Term Memory-based correlated traffic data prediction framework
Correlated traffic data refers to a collection of time series recorded simultaneously in
different regions throughout the same transportation network route. Due to the presence of …
different regions throughout the same transportation network route. Due to the presence of …
Dynamic VNF placement, resource allocation and traffic routing in 5G
Abstract 5G networks are going to support a variety of vertical services, with a diverse set of
key performance indicators (KPIs), by using enabling technologies such as software-defined …
key performance indicators (KPIs), by using enabling technologies such as software-defined …
Routing optimization meets Machine Intelligence: A perspective for the future network
B Dai, Y Cao, Z Wu, Z Dai, R Yao, Y Xu - Neurocomputing, 2021 - Elsevier
The future network is expected to support extremely large bandwidth, ultra-low latency or
deterministic delay, extremely high reliability, and massive connectivity for novel forward …
deterministic delay, extremely high reliability, and massive connectivity for novel forward …
Network traffic matrix prediction with incomplete data via masked matrix modeling
Traffic matrix (TM) prediction aims to forecast future traffic data for networks using historical
traffic matrices. TM prediction plays a critical role in solving network engineering tasks such …
traffic matrices. TM prediction plays a critical role in solving network engineering tasks such …
Long-term traffic flow prediction using multivariate SSA forecasting in SDN based networks
DP Isravel, S Silas, EB Rajsingh - Pervasive and Mobile Computing, 2022 - Elsevier
Accurate and real-time traffic flow forecasting plays an important role in optimizing traffic
routing enabling adaptive and sophisticated applications on the network. Managing and …
routing enabling adaptive and sophisticated applications on the network. Managing and …
Iqor-lse: An intelligent qos on-demand routing algorithm with link state estimation
B Dai, Y Cao, Z Wu, Y Xu - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
With the rapid development of Internet applications, diversified Quality of Service (QoS) has
been required in packet routing to meet the demand of various types of applications. In this …
been required in packet routing to meet the demand of various types of applications. In this …
Leveraging Spatial and Temporal Correlations for Network Traffic Compression
The deployment of modern network applications is increasing the network size and traffic
volumes at an unprecedented pace. Storing network-related information (eg, traffic traces) is …
volumes at an unprecedented pace. Storing network-related information (eg, traffic traces) is …
Flow-by-flow traffic matrix prediction methods: Achieving accurate, adaptable, low cost results
Traffic matrix (TM) prediction methods aim to accurately and efficiently predict future network
traffic demands by using previous traffic matrices. These methods are critical for network …
traffic demands by using previous traffic matrices. These methods are critical for network …
Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
M Bolanowski, A Gerka, A Paszkiewicz… - International Conference …, 2023 - Springer
The concept of extended cloud requires efficient network infrastructure to support
ecosystems reaching form the edge to the cloud (s). Standard network load balancing …
ecosystems reaching form the edge to the cloud (s). Standard network load balancing …