| 1. |
- Grazia, Carlo Augusto, et al.
(författare)
-
Adapting TCP Small Queues for IEEE 802.11 Networks
- 2018
-
Ingår i: 2018 IEEE 29Th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). - : IEEE. - 9781538660096 - 9781538660102
-
Konferensbidrag (refereegranskat)abstract
- In recent years, the Linux kernel has adopted an algorithm calledTCP Small Queues (TSQ) for reducing queueing latency by controlling buffering in the networking stack.This solution consists of a back-pressure mechanism that limitsthe number of TCP segments within the sender TCP/IP stack, waitingfor packets to actually be transmitted onto the wire beforeenqueueing further segments.Unfortunately, TSQ prevents the frameaggregation mechanism in the IEEE 802.11n/ac standards from achieving itsmaximum aggregation, because not enough packets are available in the queue to buildaggregates from, which severely limits achievable throughput over wirelesslinks.This paper demonstrates this limitation of TSQ in wireless networks and proposesControlled TSQ (CoTSQ), a solution that improves TSQ so that it controls the amountof data buffered while allowing the IEEE 802.11n/ac aggregation logic to fullyexploit the available channel and achieve high throughput. Results on a real testbed show that CoTSQ leadsto a doubling of throughput on 802.11n and up to an order of magnitudeimprovement in 802.11ac networks, with a negligible latency increase.
|
|
| 2. |
- Høiland-Jørgensen, Toke, et al.
(författare)
-
Flent : The FLExible Network Tester
- 2017
-
Ingår i: VALUETOOLS 2017. - New York, NY : Association for Computing Machinery (ACM). - 9781450363464 ; , s. 1-6
-
Konferensbidrag (refereegranskat)abstract
- Running network performance experiments on real systems is essential for a complete understanding of protocols and systems connected to the internet. However, the process of running experiments can be tedious and error-prone. In particular, ensuring reproducibility across different systems is difficult, and comparing different test runs from an experiment can be non-trivial.In this paper, we present a tool, called Flent, designed to make experimental evaluations of networks more reliable and easier to perform. Flent works by composing well-known benchmarking tools to, e.g., run tests consisting of several bulk data flows combined with simultaneous latency measurements. Tests are specified in source code, and several common tests are included with the tool. In addition, Flent contains features to automate test runs, collect relevant metadata and interactively plot and explore datasets.We showcase Flent's capabilities by performing a set of experiments evaluating the new BBR congestion control algorithm, using Flent's capabilities to reproduce experiments both in a controlled testbed and across the public internet. Our evaluation reveals several interesting features of BBR's performance.
|
|
