Achieving high throughput and TCP Reno fairness in delay-based TCP over large networks
Jingyuan WANG, Jiangtao WEN, Yuxing HAN, Jun ZHANG, Chao LI, Zhang XIONG
Achieving high throughput and TCP Reno fairness in delay-based TCP over large networks
The transport control protocol (TCP) has been widely used in wired and wireless Internet applications such as FTP, email and HTTP. Numerous congestion avoidance algorithms have been proposed to improve the performance of TCP in various scenarios, especially for high speed and wireless networks. Although different algorithms may achieve different performance improvements under different network conditions, designing a congestion algorithm that can perform well across a wide spectrum of network conditions remains a great challenge. Delay-based TCP has a potential to overcome above challenges. However, the unfairness problem of delay-based TCP with TCP Reno blocks widely the eployment of delay-based TCP over wide area networks. In this paper, we proposed a novel delay-based congestion control algorithm, named FAST-FIT, which could perform gracefully in both ultra high speed networks and wide area networks, as well as keep graceful fairness with widely deployed TCP Reno hosts. FAST-FIT uses queuing delay as a primary input for controlling TCP congestion window. Packet loss is used as a secondary signal to adaptively adjust parameters of primary control process. Theoretical analysis and experimental results show that the performance of the algorithm is significantly improved as compared to other state-of-the-art algorithms, while maintaining good fairness.
TCP congestion control / congestion avoidance / fairness
[1] |
WangJ Y, GaoF, WenJ T, LiC, XiongZ, HanY X. Achieving TCP reno friendliness in fast TCP over wide area networks. In: Proceedings of the 2014 International Conference on Computing, Networking and Communications. 2014, 100-109
CrossRef
Google scholar
|
[2] |
AllmanM, PaxsonV, StevensW. TCP congestion control. RFC 2581, 1999
|
[3] |
WeiD X, JinC, LowS H, HegdeS. FAST TCP: motivation, architecture, algorithms, performance. IEEE/ACM Transactions on Networking, 2006, 14(6): 1246-1259
CrossRef
Google scholar
|
[4] |
MascoloS, CasettiC, GerlaM, SanadidiM Y, WangR. TCP westwood: Bandwidth estimation for enhanced transport over wireless links. In: Proceedings of the 7th Annual International Conference on Mobile Computing and Networking. 2001, 287-297
|
[5] |
MascoloS, GriecoL A, FerorelliR, CamardaP, PiscitelliG. Performance evaluation of westwood+ TCP congestion control. Performance Evaluation, 2004, 55(1-2): 93-111
CrossRef
Google scholar
|
[6] |
FuC P, LiewS C. TCP veno: TCP enhancement for transmission over wireless access networks. IEEE Journal on Selected Areas in Communications, 2003, 21(2): 216-228
CrossRef
Google scholar
|
[7] |
FloydS. Highspeed TCP for large congestion windows. RFC 3649, 2003
|
[8] |
KellyT. Scalable TCP: improving performance in highspeed wide area networks. SIGCOMM Computer Communication Review, 2003, 33(2): 83-91
CrossRef
Google scholar
|
[9] |
TanK, SongJ, ZhangQ, SridharanM. A compound TCP approach for high-speed and long distance networks. In: Proceedings of the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies. APRIL 2006
|
[10] |
HaS, RheeI, XuL. Cubic: a new TCP-friendly high-speed TCP variant. ACM SIGOPS Operating Systems Review, 2008, 42(5): 64-74
CrossRef
Google scholar
|
[11] |
WangJ Y, JiangY X, OuyangY, LiC, XiongZ, CaiJ X. TCP congestion control for wireless datacenters. IEICE Electronics Express, 2013, 10(12): 1-11
CrossRef
Google scholar
|
[12] |
FangW, LiangX, LiS, ChiaraviglioL, XiongN. Vmplanner: Optimizing virtual machine placement and traffic flow routing to reduce network power costs in cloud data centers. Computer Networks, 2013, 57(1): 179-196
CrossRef
Google scholar
|
[13] |
BrakmoL S, O’MalleySW, PetersonL L. TCP Vegas: new techniques for congestion detection and avoidance. SIGCOMM Computer Communication Review, 1994, 24(4): 24-35
CrossRef
Google scholar
|
[14] |
LowS H, PetersonL L, WangL. Understanding TCP vegas: a duality model. Journal of the ACM, 2002, 49(2): 207-235
CrossRef
Google scholar
|
[15] |
TangA, WangJ, HegdeS, LowS. Equilibrium and fairness of networks shared by TCP Reno and Vegas/FAST. Telecommunication Systems, 2005, 30(4): 417-439
CrossRef
Google scholar
|
[16] |
BudziszŁ, StanojevićR, SchloteA, BakerF, ShortenR. On the fair coexistence of loss-and delay-based TCP. IEEE/ACM Transactions on Networking (TON), 2011, 19(6): 1811-1824
|
[17] |
WangJ, WenJ, ZhangJ, HanY. TCP-FIT — a novel TCP congestion control algorithm for wireless networks. In: Proceedings of the 2010 IEEE Globecom Workshop on Advances in Communications and Networks. 2010, 2133-2137
CrossRef
Google scholar
|
[18] |
WangJ, WenJ, ZhangJ, HanY. TCP-FIT: an improved TCP congestion control algorithm and its performance. In: Proceedings of the 30th IEEE International Conference on Computer Communications, 2010, 2065-2069
|
[19] |
WangJ, WenJ, HanY, ZhangJ, LiC, XiongZ. CUBIC-FIT: A high performance and TCP CUBIC friendly congestion control algorithm. IEEE Communications Letters, 2013, 17(8): 1664-1667
CrossRef
Google scholar
|
[20] |
TangA, WangJ, LowS H, ChiangM. Equilibrium of heterogeneous congestion control: existence and uniqueness. IEEE/ACM Transactions on Networking, 2007, 15: 824-837
CrossRef
Google scholar
|
[21] |
LowS. A duality model of TCP and queue management algorithms. IEEE/ACM Transactions on Networking, 2003, 11(4): 525-536
CrossRef
Google scholar
|
[22] |
KellyF, MaullooA, TanD. Rate control for communication networks: shadow prices, proportional fairness and stability. Journal of the Operational Research Society, 1998, 49(3): 237-252
CrossRef
Google scholar
|
[23] |
PadhyeJ, FiroiuV, TowsleyD, KuroseJ. Modeling TCP throughput: A simple model and its empirical validation. In: Proceedings of the 1998 ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication. 1998, 303-314
|
[24] |
HaS, RheeI, XuL. CUBIC: a new TCP-friendly high-speed TCP variant. ACM SIGOPS Operating Systems Review, 2008, 42(5): 64-74
CrossRef
Google scholar
|
[25] |
ZhouB, FuC P, ChiuD M, LauC T, NgohL H. A simple throughput model for TCP veno. In: Proceedings of the 2006 IEEE International Conference on Communications. 2006, 5395-5400
CrossRef
Google scholar
|
[26] |
GriecoL, MascoloS. Mathematical analysis of Westwood+ TCP congestion control. IEEE Proceedings: Control Theory and Applications, 2005, 152(1): 35-42
|
[27] |
SamiosC, VernonM. Modeling the throughput of TCP Vegas. In: Proceedings of the 2003 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems. 2003, 31(1): 71-81
CrossRef
Google scholar
|
[28] |
XuL, HarfoushK, RheeI. Binary increase congestion control (BIC) for fast long-distance networks. In: Proceedings of the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies. 2004, 2514-2524
|
/
〈 | 〉 |