| Document Date: 2014-08-29 19:23:33
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City Portland / Chicago / / Company ECMP Comp / Cisco Systems / Google / Intel / Computer-Communication Networks / Microsoft / / Country United States / / Currency USD / / / Facility TCP traffic Complex / / IndustryTerm data-mining workloads / Internet paths / virtualized and bare metal hosts / physical network / datacenter applications / coupled congestion algorithm / low latency storage systems / transport protocols / multipath transport protocol / business intelligence services / diverse enterprise applications / financial services / homogenous systems / web search workload / storage systems / 28nm technology / inter-datacenter traffic engineering algorithm / performance applications / because network / web search / coupled congestion control algorithm / mining / actual applications / data-mining workload / transport protocol / overlay network / data-mining distribution / data mining workload / / MarketIndex HDFS / / OperatingSystem Linux / / Organization ASIC / US Federal Reserve / / Person Francis Matus / Tom Edsall / Andy Fingerhut / Mohammad Alizadeh / Kevin Chu / Navindra Yadav / Rong Pan / George Varghese / / Position representative / centralized scheduler / Forward / General / Hedera scheduler / / Technology Ethernet / ASIC / av / coupled congestion algorithm / Load Balancing / N-party protocol / Linux / coupled congestion control algorithm / inter-datacenter traffic engineering algorithm / transport protocol / DRE algorithm / data mining / multipath transport protocol / MTU / 28nm technology / Simulation / UDP / transport protocols / business intelligence / / URL http /
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CONGA: Distributed Congestion-Aware Load Balancing for Datacenters Mohammad Alizadeh, Tom Edsall, Sarang Dharmapurikar, Ramanan Vaidyanathan, Kevin Chu, Andy Fingerhut, Vinh The Lam (Google), Francis Matus, Rong Pan, Nav