60 citations · 98 across the 12 of their papers we have counts for
12 papers
A Vectorised Packing Algorithm for Efficient Generation of Custom Traffic Matrices
Christoper W. F. Parsonson, Joshua L. Benjamin, Georgios Zervas
We propose a new algorithm for generating custom network traffic matrices which achieves 13x, 38x, and 70x faster generation times than prior work on networks with 64, 256, and 102…
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks
Christopher W. F. Parsonson, Zacharaya Shabka, Alessandro Ottino +1
From natural language processing to genome sequencing, large-scale machine learning models are bringing advances to a broad range of fields. Many of these models are too large to b…
RAMP: A Flat Nanosecond Optical Network and MPI Operations for Distributed Deep Learning Systems
Alessandro Ottino, Joshua Benjamin, Georgios Zervas
Distributed deep learning (DDL) systems strongly depend on network performance. Current electronic packet switched (EPS) network architectures and technologies suffer from variable…
Network Aware Compute and Memory Allocation in Optically Composable Data Centres with Deep Reinforcement Learning and Graph Neural Networks
Zacharaya Shabka, Georgios Zervas
Resource-disaggregated data centre architectures promise a means of pooling resources remotely within data centres, allowing for both more flexibility and resource efficiency under…
One-shot, Offline and Production-Scalable PID Optimisation with Deep Reinforcement Learning
Zacharaya Shabka, Michael Enrico, Nick Parsons +1
Proportional-integral-derivative (PID) control underlies more than of automated industrial processes. Controlling these processes effectively with respect to some specified…
Traffic Generation for Benchmarking Data Centre Networks
Christopher W. F. Parsonson, Joshua L. Benjamin, Georgios Zervas
Benchmarking is commonly used in research fields, such as computer architecture design and machine learning, as a powerful paradigm for rigorously assessing, comparing, and develop…
Resource Allocation in Disaggregated Data Centre Systems with Reinforcement Learning
Zacharaya Shabka, Georgios Zervas
Resource-disaggregated data centres (RDDC) propose a resource-centric, and high-utilisation architecture for data centres (DC), avoiding resource fragmentation and enabling arbitra…
Random Walk for modelling Multi Core Fiber cross-talk and step distribution characterisation
Alessandro Ottino, Hui Yuan, Yunnuo Xu +2
A novel random walk based model for inter-core cross-talk (IC-XT) characterization of multi-core fibres capable of accurately representing both time-domain distribution and frequen…
On the Relationship Between Network Topology and Throughput in Mesh Optical Networks
Daniel Semrau, Shahzaib Durrani, Georgios Zervas +2
The relationship between topology and network throughput of arbitrarily-connected mesh networks is studied. Taking into account nonlinear channel properties, it is shown that throu…
Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers
Hui Yuan, Alessandro Ottino, Yunnuo Xu +8
Space division multiplexing using multi-core fiber (MCF) is a promising solution to cope with the capacity crunch in standard single-mode fiber based optical communication systems.…
SWIFT: Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks
Thomas Gerard, Christopher Parsonson, Zacharaya Shabka +3
We propose a time-multiplexed DS-DBR/SOA-gated system to deliver low-power fast tuning across S-/C-/L-bands. Sub-ns switching is demonstrated, supporting 12250 GHz channels…
PULSE: Optical circuit switched Data Center architecture operating at nanosecond timescales
Joshua L. Benjamin, Thomas Gerard, Domaniç Lavery +2
We introduce PULSE, a sub-microsecond optical circuit-switched data centre network architecture controlled by distributed hardware schedulers. PULSE is a flat architecture that use…