Impact of TCP BBR on CUBIC Traffic: A mixed workload evaluationShow others and affiliations
2018 (English)In: Proceedings of the 30th International Teletraffic Congress, ITC 2018, IEEE, 2018, p. 218-226Conference paper, Published paper (Refereed)
Abstract [en]
A recently proposed congestion control algorithm (CCA) called BBR (Bottleneck Bandwidth and Round-trip propagation time) has shown a lot of promise in avoiding some of the problems that have plagued loss-based CCAs. Nevertheless, deployment of a new alternative algorithm requires a thorough evaluation of the effect of the proposed alternative on established transport protocols like TCP CUBIC. Furthermore, evaluations that consider the heterogeneity of Internet traffic sizes would provide a useful insight into the deployability of an algorithm that introduces sweeping changes across multiple algorithm components. Yet, most evaluations of BBR's impact and competitive fairness have focused on the steady-state performance of large flows. This work expands on previous studies of BBR by evaluating BBR's impact when the traffic consists of flows of different sizes. Our experiments show that under certain circumstances BBR's startup phase can result in a significant reduction of the throughput of competing large CUBIC flows and the utilization of the bottleneck link. In addition, the steady-state operation of BBR can have negative impact on the performance of bursty flows using loss-based CCAs over bottlenecks with buffer sizes as high as two times the bandwidth-delay product.
Place, publisher, year, edition, pages
IEEE, 2018. p. 218-226
Keywords [en]
BBR, Congestion Control, CUBIC, Startup, Steady state, TCP, Bandwidth, Congestion control (communication), Reactor startup, Traffic congestion, Alternative algorithms, Bandwidth delay product, Bottleneck bandwidth, Steady state performance, Steady-state operation, Workload evaluation, Transmission control protocol
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-70575DOI: 10.1109/ITC30.2018.00040Scopus ID: 2-s2.0-85057239137ISBN: 9780988304550 (print)OAI: oai:DiVA.org:kau-70575DiVA, id: diva2:1273078
Conference
30th International Teletraffic Congress, ITC 2018, 4 September 2018 through 7 September 2018
Projects
HITS, 4707
Funder
Knowledge Foundation2018-12-202018-12-202022-11-23Bibliographically approved