336 citations · 348 across the 8 of their papers we have counts for
6 papers · 1 filter
Adaptive E2E Monitoring Path Selection with Deep Reinforcement Learning in Multi-domain Optical Networks
Soham Choudhury, Martin Bojinov, Jason P. Jue +1
Network slicing over multi-domain optical networks enables resource isolation for high-bandwidth, virtually-dedicated networks. However, guaranteeing end-to-end (E2E) performance r…
Multi-domain Network Slice Partitioning: A Graph Neural Network Algorithm
Zhouxiang Wu, Genya Ishigaki, Riti Gour +3
In the context of multi-domain network slices, multiple domains need to work together to provide a service. The problem of determining which part of the service fits within which d…
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization
Genya Ishigaki, Siddartha Devic, Riti Gour +1
The emergence of diverse network applications demands more flexible and responsive resource allocation for networks. Network slicing is a key enabling technology that provides each…
DeepPR: Progressive Recovery for Interdependent VNFs with Deep Reinforcement Learning
Genya Ishigaki, Siddartha Devic, Riti Gour +1
The increasing reliance upon cloud services entails more flexible networks that are realized by virtualized network equipment and functions. When such advanced network systems face…
Improving the Survivability of Clustered Interdependent Networks by Restructuring Dependencies
Genya Ishigaki, Riti Gour, Jason P. Jue
The interdependency between different network layers is commonly observed in Cyber Physical Systems and communication networks adopting the dissociation of logic and hardware imple…
On Reducing IoT Service Delay via Fog Offloading
Ashkan Yousefpour, Genya Ishigaki, Riti Gour +1
With the Internet of Things (IoT) becoming a major component of our daily life, understanding how to improve the quality of service (QoS) for IoT applications through fog computing…