Improving network connection locality on multicore systems
Name
Morris_Improving network.pdf
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218.75 KB
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Author(s)
Pesterev, Aleksey
Strauss, Jacob
Zeldovich, Nickolai
Morris, Robert Tappan
Date Issued
April 2012
Journal
Proceedings of the 7th ACM european conference on Computer Systems (EuroSys '12)
Publisher
Association for Computing Machinery (ACM)
Citation
Aleksey Pesterev, Jacob Strauss, Nickolai Zeldovich, and Robert T. Morris. 2012. Improving network connection locality on multicore systems. In Proceedings of the 7th ACM european conference on Computer Systems (EuroSys '12). ACM, New York, NY, USA, 337-350.
Version
Author's final manuscript
Abstract
Incoming and outgoing processing for a given TCP connection often execute on different cores: an incoming packet is typically processed on the core that receives the interrupt, while outgoing data processing occurs on the core running the relevant user code. As a result, accesses to read/write connection state (such as TCP control blocks) often involve cache invalidations and data movement between cores' caches. These can take hundreds of processor cycles, enough to significantly reduce performance.
We present a new design, called Affinity-Accept, that causes all processing for a given TCP connection to occur on the same core. Affinity-Accept arranges for the network interface to determine the core on which application processing for each new connection occurs, in a lightweight way; it adjusts the card's choices only in response to imbalances in CPU scheduling. Measurements show that for the Apache web server serving static files on a 48-core AMD system, Affinity-Accept reduces time spent in the TCP stack by 30% and improves overall throughput by 24%.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/2168836.2168870
