A review of self-coherent optical transceivers: fundamental issues, recent advances, and research directions

I Alimi, R Patel, N Silva, C Sun, H Ji, W Shieh, A Pinto… - Applied Sciences, 2021 - mdpi.com
This paper reviews recent progress on different high-speed optical short-and medium-reach
transmission systems. Furthermore, a comprehensive tutorial on high-performance, low-cost …

Intelligently modeling, detecting, and scheduling elephant flows in software defined energy cloud: A survey

LX Liao, HC Chao, MY Chen - Journal of Parallel and Distributed …, 2020 - Elsevier
Elephant flows (elephants) refer to the sequences of packets that contribute only 10% of the
total volume but consume over 90% of the network bandwidth. They often cause network …

Burst traffic scheduling for hybrid E/O switching DCN: An error feedback spiking neural network approach

A Yu, H Yang, KK Nguyen, J Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Hybrid electrical/optical (E/O) switching data center network (DCN) has recently emerged as
a promising paradigm for future DCN architectures. However, there exist two major …

Comprehensive model for technoeconomic studies of next-generation central offices for metro networks

JA Hernández, M Quagliotti, L Serra… - Journal of Optical …, 2020 - ieeexplore.ieee.org
This paper introduces a novel and simplified cost model for designing and evaluating a
Central Office Rearchitected as a Datacenter (CORD). The model includes equipment and …

Classification and forecasting of real-time server traffic flows employing long short-term memory for hybrid E/O data center networks

M Balanici, S Pachnicke - Journal of Optical Communications and …, 2021 - opg.optica.org
Long short-term memory neural networks demonstrate a classification accuracy larger than
99% for highly variable and bursty, real-time server traffic flows. Their performance in terms …

Machine learning-based traffic prediction for optical switching resource allocation in hybrid intra-data center networks

M Balanici, S Pachnicke - 2019 Optical Fiber Communications …, 2019 - ieeexplore.ieee.org
Machine Learning-Based Traffic Prediction for Optical Switching Resource Allocation in Hybrid
Intra-Data Center Networks Page 1 Th1H.4.pdf OFC 2019 © OSA 2019 Machine …

Scalable and low server-to-server latency data center network architecture based on optical packet inter-rack and intra-rack switching

G Drainakis, P Baziana, A Bogris - Journal of Optical …, 2023 - ieeexplore.ieee.org
In this work, we introduce an efficient data center network (DCN) architecture using optical
packet switching for the inter-rack and intra-rack packet networks. We investigate the end-to …

SD‐MAC: Design and evaluation of a software‐defined passive optical intrarack network in data centers

Y Cai, Z Yao, T Li, S Luo, L Zhou - Transactions on Emerging …, 2022 - Wiley Online Library
With rapid development of cloud computing services, traffic in data centers (DCs) increases
dramatically. Top‐of‐rack Ethernet switches dominate network cost and energy …

Learning EPON delay models from data: a machine learning approach

JA Hernández, A Ebrahimzadeh, M Maier… - Journal of Optical …, 2021 - opg.optica.org
There have been a large number of studies focused on the characterization of the upstream
delay in time-division multiplexing passive optical networks (TDM-PONs). However, most of …

Optical switching data center networks: understanding techniques and challenges

Y Zhao, X Xue, X Ren, W Li, Y Guo… - Computer Networks …, 2023 - ojs.wiserpub.com
Relying on the flexible-access interconnects to the scalable storage and compute resources,
data centers deliver critical communications connectivity among numerous servers to …