Abstract

This work presents a novel approach in intra-data center network design and performance evaluation, based on a tailored, long-range dependence data traffic generation model for different application classes. We examine how an intra-data center network can be efficiently evaluated and optimized by applying accurate models for machine-generated data and using assumptions on current and future commercially available data center hardware. Moreover, we show that by migrating such a Fat-Tree network to its hybrid, electro-optical counterpart by employing optical circuit switching for selected, intense traffic connections, significant capital and operational expenditure cost savings can be obtained.

© 2018 Optical Society of America

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

Georgios Drainakis, Peristera Baziana, and Adonis Bogris
J. Opt. Commun. Netw. 15(11) 804-819 (2023)

HiFOST: A Scalable and Low-Latency Hybrid Data Center Network Architecture Based on Flow-Controlled Fast Optical Switches

Fulong Yan, Xuwei Xue, and Nicola Calabretta
J. Opt. Commun. Netw. 10(7) B1-B14 (2018)

OPSquare: A Flat DCN Architecture Based on Flow-Controlled Optical Packet Switches

Fulong Yan, Wang Miao, Oded Raz, and Nicola Calabretta
J. Opt. Commun. Netw. 9(4) 291-303 (2017)

Collision-free distributed MAC protocol for passive optical intra-rack data center networks

Peristera Baziana and Georgios Drainakis
J. Opt. Commun. Netw. 14(8) 654-666 (2022)

Resource Allocation in Electrical/Optical Hybrid Switching Data Center Networks

Zhangxiao Feng, Weiqiang Sun, Jie Zhu, Junyi Shao, and Weisheng Hu
J. Opt. Commun. Netw. 9(8) 648-657 (2017)