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 …

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 …

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 …

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 …

Toward scalable systems for big data analytics: A technology tutorial

H Hu, Y Wen, TS Chua, X Li - IEEE access, 2014 - ieeexplore.ieee.org
Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

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 …

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 …

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 …

Towards predictable datacenter networks

H Ballani, P Costa, T Karagiannis… - Proceedings of the ACM …, 2011 - dl.acm.org
The shared nature of the network in today's multi-tenant datacenters implies that network
performance for tenants can vary significantly. This applies to both production datacenters …

MicroTE: Fine grained traffic engineering for data centers

T Benson, A Anand, A Akella, M Zhang - Proceedings of the seventh …, 2011 - dl.acm.org
The effects of data center traffic characteristics on data center traffic engineering is not well
understood. In particular, it is unclear how existing traffic engineering techniques perform …