Modern data centers increasingly rely on interconnects for delivering critical communications connectivity among numerous servers, memory, and computation …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …