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  1. Proceedings of the Workshop on Programmable Routers for Extensible Services of Tomorrow (PRESTO '10)
  2. Evaluating the suitability of server network cards for software routers
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Distributed runtime load-balancing for software routers on homogeneous many-core processors
Use cases and deployment of Juniper's high-end programmable routers
Frenetic: a high-level language for OpenFlow networks
A policy-based constraint-solving platform towards extensible wireless channel selection and routing
Controlling parallelism in a multicore software router
Recent progress in the GENI project
Evaluating the suitability of server network cards for software routers
Introducing standby capabilities into next-generation network devices
Forwarding path architectures for multicore software routers
Virtualizing the network forwarding plane
Leveraging router programmability for traffic matrix computation
Adaptive multi-task monitoring system based on overhead prediction

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Evaluating the suitability of server network cards for software routers

Content Provider ACM Digital Library
Author Kohler, Eddie Fall, Kevin Iannaccone, Gianluca Argyraki, Katerina Manesh, Maziar Dobrescu, Mihai Egi, Norbert Ratnasamy, Sylvia
Abstract The advent of multicore CPUs has led to renewed interest in software routers built from commodity PC hardware[6, 5, 8, 7, 3, 4]. The typical approach to scaling network processing in these systems is to distribute packets, or rather flows of packets, across multiple cores that process them in parallel. However, the traffic arriving (departing) on an incoming (outgoing) link at a router is inherently serial and hence we need a mechanism that appropriately demultiplexes (multiplexes) the traffic between a serial link and a set of cores. I.e., multiple cores can parallelize the processing of a traffic stream but to fully exploit the parallelism due to multiple cores we must first be able to parallelize the delivery of packets to and from cores. Moreover, this parallelization must be achieved in a manner that is: (i) efficient, ensuring that the splitting/merging of traffic isn't the bottleneck along a packet's processing path and (ii) well balanced such that input processing load can be well balanced across available cores for a range of input traffic workloads (e.g., diverse flow counts, flow sizes, packet processing applications, and so forth). If either of these requirements is not met, the parallelism due to multiple cores might well be moot. In other words, achieving parallelism in packet delivery is critical for any software routing system that exploits multiple cores.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450304672
DOI 10.1145/1921151.1921161
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-11-30
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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