Residential College | false |
Status | 已發表Published |
TCon: A transparent congestion control deployment platform for optimizing WAN transfers | |
Zhang Y.3; Cui L.3; Tso F.P.4; Guan Q.3; Jia W.2 | |
2017 | |
Conference Name | 14th IFIP WG 10.3 International Conference on Network and Parallel Computing (NPC) |
Source Publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 10578 LNCS |
Pages | 49-61 |
Conference Date | OCT 20-21, 2017 |
Conference Place | Hefei, PEOPLES R CHINA |
Abstract | Nowadays, many web services (e.g., cloud storage) are deployed inside datacenters and may trigger transfers to clients through WAN. TCP congestion control is a vital component for improving the performance (e.g., latency) of these services. Considering complex networking environment, the default congestion control algorithms on servers may not always be the most efficient, and new advanced algorithms will be proposed. However, adjusting congestion control algorithm usually requires modification of TCP stacks of servers, which is difficult if not impossible, especially considering different operating systems and configurations on servers. In this paper, we propose TCon, a light-weight, flexible and scalable platform that allows administrators (or operators) to deploy any appropriate congestion control algorithms transparently without making any changes to TCP stacks of servers. We have implemented TCon in Open vSwitch (OVS) and conducted extensive test-bed experiments by transparently deploying BBR congestion control algorithm over TCon. Test-bed results show that the BBR over TCon works effectively and the performance stays close to its native implementation on servers, reducing latency by 12.76% on average. |
Keyword | Bbr Congestion Control Transparent |
DOI | 10.1007/978-3-319-68210-5_5 |
URL | View the original |
Language | 英語English |
WOS ID | WOS:000439932400005 |
Scopus ID | 2-s2.0-85032862729 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | University of Macau |
Affiliation | 1.Guangdong Key Laboratory of Big Data Analysis and Processing 2.Shanghai Jiao Tong University 3.Jinan University 4.Loughborough University |
Recommended Citation GB/T 7714 | Zhang Y.,Cui L.,Tso F.P.,et al. TCon: A transparent congestion control deployment platform for optimizing WAN transfers[C], 2017, 49-61. |
APA | Zhang Y.., Cui L.., Tso F.P.., Guan Q.., & Jia W. (2017). TCon: A transparent congestion control deployment platform for optimizing WAN transfers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10578 LNCS, 49-61. |
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