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What and Who
Title:Accelerating Network Applications with Stateful TCP Offloading
Speaker:YoungGyoun Moon
coming from:KAIST
Speakers Bio:YoungGyoun Moon is a Ph.D. candidate in KAIST under supervision of Prof. KyoungSoo Park. His research interests broadly lie

in networked systems, including host networking stack, middleboxes, and programmable dataplane. He is a recipient of
USENIX NSDI Best Paper Award in 2017. 

Event Type:SWS Colloquium
Visibility:D1, D2, D3, INET, D4, D5, SWS, RG1, MMCI
We use this to send out email in the morning.
Level:AG Audience
Date, Time and Location
Date:Tuesday, 24 September 2019
Duration:90 Minutes
Building:E1 5
The performance of modern key-value servers or layer-7 load balancers often heavily depends on the efficiency of the underlying
TCP stack. Despite numerous optimizations such as kernel-bypassing and zero-copying, performance improvement for TCP
applications is fundamentally limited due to the protocol conformance overhead for compatible TCP operations.

In this talk, I will introduce AccelTCP, a hardware-assisted TCP stack architecture that harnesses programmable network interface
cards (NICs) as a TCP protocol accelerator. AccelTCP can offload complex TCP operations such as connection setup and
teardown completely to NIC, which frees a significant amount of host CPU cycles for application processing. In addition, for layer-7
proxies, it supports running connection splicing on NIC so that the NIC relays all packets of the spliced connections with zero DMA
overhead. We showcase the effectiveness of AccelTCP with two real-world applications: (1) Redis, a popular in-memory key-value
store, and (2) HAProxy, a widely-used layer-7 load balancer. Our evaluation shows that AccelTCP improves their performance by
2.3x and 11.9x, respectively.
Name(s):Annika Meiser
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:YesTo Location:Kaiserslautern
To Building:G26To Room:111
Meeting ID:SWS Space 2 (6312)
Tags, Category, Keywords and additional notes
Attachments, File(s):
  • Annika Meiser, 09/17/2019 10:14 AM -- Created document.