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 …

We present Elmo, a system that addresses the multicast scalability problem in multi-tenant
datacenters. Modern cloud applications frequently exhibit one-to-many communication …

This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …

We present the design and experimental evaluation of an Optical Multicast System for Data
Center Networks, a hardware-software system architecture that uniquely integrates passive …

Data multicast is a crucial data transfer pattern in distributed big-data processing. However,
due to the lack of network and system level support, data processing relies on unicast-based …

We present a novel converged inter/intra data center architecture using optical-circuit-
switching over metro-scale distances. A Software Defined Network (SDN) control-plane …

We present Elmo, a system that addresses the multicast scalability problem in multi-tenant
data centers. Modern cloud applications frequently exhibit one-to-many communication …

Passive optical star networks have attractive properties for multicast traffic in data centres,
but are limited in transmission bandwidth per node due to sharing a finite total throughput …

Datacenter applications impose heavy demands on bandwidth and generate different
communication patterns. Supporting such traffic demands leads to networks built with …

Today's data centers are large, shared infrastructures hosting hundreds of thousands of
tenants over a vast network of servers. Operating these data centers frequently entails …