Cooperative multi-agent deep reinforcement learning for dynamic virtual network allocation with traffic fluctuations
A Suzuki, R Kawahara, S Harada - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network traffic and computing demand have been changing dramatically due to the growth
of various types of network services, eg, high-quality video delivery and operating system …
of various types of network services, eg, high-quality video delivery and operating system …
Cooperative multi-agent deep reinforcement learning for dynamic virtual network allocation
A Suzuki, R Kawahara, S Harada - … International Conference on …, 2021 - ieeexplore.ieee.org
Network traffic and computing demand have been changing dramatically due to the growth
of various types of network services, eg, high-quality video delivery and operating system …
of various types of network services, eg, high-quality video delivery and operating system …
Safe multi-agent deep reinforcement learning for dynamic virtual network allocation
A Suzuki, S Harada - GLOBECOM 2020-2020 IEEE Global …, 2020 - ieeexplore.ieee.org
Network traffic and computing demand have been changing dramatically due to the growth
of various types of network services, eg, high-quality video delivery and OS update. To …
of various types of network services, eg, high-quality video delivery and OS update. To …
Reinforcement learning assisted bandwidth aware virtual network resource allocation
Space-air-ground integration to support seamless coverage of ground, satellite, airborne,
and marine communications, is likely to be a key trend in the 6G era. One of several key …
and marine communications, is likely to be a key trend in the 6G era. One of several key …
Network resource allocation strategy based on deep reinforcement learning
S Zhang, C Wang, J Zhang, Y Duan… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The traditional Internet has encountered a bottleneck in allocating network resources for
emerging technology needs. Network virtualization (NV) technology as a future network …
emerging technology needs. Network virtualization (NV) technology as a future network …
Joint admission control and resource allocation of virtual network embedding via hierarchical deep reinforcement learning
As an essential resource management problem in network virtualization, virtual network
embedding (VNE) aims to allocate the finite resources of physical network to sequentially …
embedding (VNE) aims to allocate the finite resources of physical network to sequentially …
Intelligent VNF orchestration and flow scheduling via model-assisted deep reinforcement learning
Hosting virtualized network functions (VNF) has been regarded as an effective way to realize
network function virtualization (NFV). Considering the cost diversity in cloud computing, from …
network function virtualization (NFV). Considering the cost diversity in cloud computing, from …
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
Virtual network embedding (VNE) is an essential resource allocation task in network
virtualization, aiming to map virtual network requests (VNRs) onto physical infrastructure …
virtualization, aiming to map virtual network requests (VNRs) onto physical infrastructure …
Virtual network embedding based on hierarchical cooperative multi-agent reinforcement learning
Virtual network embedding (VNE) is a promising technique enabling 5G networks to satisfy
the given requirements of each service via network virtualization (NV). For better …
the given requirements of each service via network virtualization (NV). For better …
Multiagent deep-reinforcement-learning-based virtual resource allocation through network function virtualization in Internet of Things
Resource allocation is a significant task in the emerging area of Internet of Things (IoT). IoT
devices are usually low-cost devices with limited computational power and capabilities for …
devices are usually low-cost devices with limited computational power and capabilities for …