AI-based modeling and monitoring techniques for future intelligent elastic optical networks
With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
On dynamic service function chain deployment and readjustment
Network function virtualization (NFV) is a promising technology to decouple the network
functions from dedicated hardware elements, leading to the significant cost reduction in …
functions from dedicated hardware elements, leading to the significant cost reduction in …
[HTML][HTML] Latency and energy-aware provisioning of network slices in cloud networks
Modern network services are constantly increasing their requirements in terms of bandwidth,
latency and cost efficiency. To satisfy these requirements, the concept of network slicing has …
latency and cost efficiency. To satisfy these requirements, the concept of network slicing has …
Forecast-assisted NFV service chain deployment based on affiliation-aware vNF placement
Q Sun, P Lu, W Lu, Z Zhu - 2016 IEEE Global Communications …, 2016 - ieeexplore.ieee.org
This paper studies the problem of service chain (SC) deployment. Specifically, we try to
place virtual network functions (vNFs) on network nodes and connect the vNFs in sequence …
place virtual network functions (vNFs) on network nodes and connect the vNFs in sequence …
Joint spectrum and IT resource allocation for efficient vNF service chaining in inter-datacenter elastic optical networks
W Fang, M Zeng, X Liu, W Lu… - IEEE Communications …, 2016 - ieeexplore.ieee.org
We study how to allocate spectrum and IT resources jointly for realizing efficient virtual
network function (VNF) service chaining in inter-datacenter elastic optical networks. We first …
network function (VNF) service chaining in inter-datacenter elastic optical networks. We first …
Sel-INT: A runtime-programmable selective in-band network telemetry system
S Tang, D Li, B Niu, J Peng… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
It is known that by leveraging programmable data plane, in-band network telemetry (INT)
can be realized to provide a powerful and promising method to collect realtime network …
can be realized to provide a powerful and promising method to collect realtime network …
Orchestrating tree-type VNF forwarding graphs in inter-DC elastic optical networks
M Zeng, W Fang, Z Zhu - Journal of Lightwave Technology, 2016 - opg.optica.org
It is known that by incorporating network function virtualization (NFV) in inter-datacenter
(inter-DC) networks, service providers can use their network resources more efficiently and …
(inter-DC) networks, service providers can use their network resources more efficiently and …
Deep-learning-assisted network orchestration for on-demand and cost-effective vNF service chaining in inter-DC elastic optical networks
This work addresses the relatively long setup latency and complicated network control and
management caused by on-demand virtual network function service chain (vNF-SC) …
management caused by on-demand virtual network function service chain (vNF-SC) …
GNN-based hierarchical deep reinforcement learning for NFV-oriented online resource orchestration in elastic optical DCIs
Network function virtualization (NFV) in elastic optical datacenter interconnections (EO-
DCIs) enables flexible and timely deployment of network services. However, as the service …
DCIs) enables flexible and timely deployment of network services. However, as the service …
Improving cloud-based IoT services through virtual network embedding in elastic optical inter-DC networks
W Wei, H Gu, K Wang, X Yu… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the boom of Internet of Things (IoT), an increasing amount of data from IoT applications
is moved to geo-distributed data centers (DCs) for data analysis. Massive compute …
is moved to geo-distributed data centers (DCs) for data analysis. Massive compute …