activity
20162020
most citedDeepConfig: Automating Data Center Network Topologies Management with Machine Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.NI2020

Providing In-network Support to Coflow Scheduling

Cristian Hernandez Benet, Andreas J. Kassler, Gianni Antichi +2

Many emerging distributed applications, including big data analytics, generate a number of flows that concurrently transport data across data center networks. To improve their perf…

cs.NI2019

ConfigTron: Tackling network diversity with heterogeneous configurations

Usama Naseer, Theophilus Benson

The web serving protocol stack is constantly changing and evolving to tackle technological shifts in networking infrastructure and website complexity. As a result of this evolution…

cs.NI20172 cited

DeepConfig: Automating Data Center Network Topologies Management with Machine Learning

Christopher Streiffer, Huan Chen, Theophilus Benson +1

In recent years, many techniques have been developed to improve the performance and efficiency of data center networks. While these techniques provide high accuracy, they are often…

cs.NI2016

Finding Needles in the Haystack: Harnessing Syslogs for Data Center Management

Chen Liang, Theophilus Benson, Partha Kanuparthy +1

Network device syslogs are ubiquitous and abundant in modern data centers with most large data centers producing millions of messages per day. Yet, the operational information refl…

cs.NI2016

Performance Characterization of a Commercial Video Streaming Service

Mojgan Ghasemi, Partha Kanuparthy, Ahmed Mansy +2

Despite the growing popularity of video streaming over the Internet, problems such as re-buffering and high startup latency continue to plague users. In this paper, we present an e…