Millimeter wave communication: A comprehensive survey

X Wang, L Kong, F Kong, F Qiu, M Xia… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication has raised increasing attentions from both
academia and industry due to its exceptional advantages. Compared with existing wireless …

Recent advances in optical technologies for data centers: a review

Q Cheng, M Bahadori, M Glick, S Rumley, K Bergman - Optica, 2018 - opg.optica.org
Modern data centers increasingly rely on interconnects for delivering critical
communications connectivity among numerous servers, memory, and computation …

Tpu v4: An optically reconfigurable supercomputer for machine learning with hardware support for embeddings

N Jouppi, G Kurian, S Li, P Ma, R Nagarajan… - Proceedings of the 50th …, 2023 - dl.acm.org
In response to innovations in machine learning (ML) models, production workloads changed
radically and rapidly. TPU v4 is the fifth Google domain specific architecture (DSA) and its …

Jupiter evolving: transforming google's datacenter network via optical circuit switches and software-defined networking

L Poutievski, O Mashayekhi, J Ong, A Singh… - Proceedings of the …, 2022 - dl.acm.org
We present a decade of evolution and production experience with Jupiter datacenter
network fabrics. In this period Jupiter has delivered 5x higher speed and capacity, 30 …

Training deep networks with synthetic data: Bridging the reality gap by domain randomization

J Tremblay, A Prakash, D Acuna… - Proceedings of the …, 2018 - openaccess.thecvf.com
We present a system for training deep neural networks for object detection using synthetic
images. To handle the variability in real-world data, the system relies upon the technique of …

Sirius: A flat datacenter network with nanosecond optical switching

H Ballani, P Costa, R Behrendt, D Cletheroe… - Proceedings of the …, 2020 - dl.acm.org
The increasing gap between the growth of datacenter traffic and electrical switch capacity is
expected to worsen due to the slowdown of Moore's law, motivating the need for a new …

Inside the social network's (datacenter) network

A Roy, H Zeng, J Bagga, G Porter… - Proceedings of the 2015 …, 2015 - dl.acm.org
Large cloud service providers have invested in increasingly larger datacenters to house the
computing infrastructure required to support their services. Accordingly, researchers and …

Auto: Scaling deep reinforcement learning for datacenter-scale automatic traffic optimization

L Chen, J Lingys, K Chen, F Liu - Proceedings of the 2018 conference of …, 2018 - dl.acm.org
Traffic optimizations (TO, eg flow scheduling, load balancing) in datacenters are difficult
online decision-making problems. Previously, they are done with heuristics relying on …

Big data: A survey

M Chen, S Mao, Y Liu - Mobile networks and applications, 2014 - Springer
In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …

A survey on network methodologies for real-time analytics of massive IoT data and open research issues

S Verma, Y Kawamoto, ZM Fadlullah… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …