Full Text:
<2216>
Summary: 
<1533>
CLC number: TP393
On-line Access: 2016-07-05
Received: 2016-03-07
Revision Accepted: 2016-06-23
Crosschecked: 2016-06-28
Cited: 1
Clicked: 5638
An OpenFlow-based performance-oriented multipath forwarding scheme in datacenters
| ||||||||||||||
Bo Liu, Ming Chen, Bo Xu, Hui Hu, Chao Hu, Qing-yun Zuo, Chang-you Xing. An OpenFlow-based performance-oriented multipath forwarding scheme in datacenters[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(7): 647-660.
@article{title="An OpenFlow-based performance-oriented multipath forwarding scheme in datacenters",
author="Bo Liu, Ming Chen, Bo Xu, Hui Hu, Chao Hu, Qing-yun Zuo, Chang-you Xing",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="7",
pages="647-660",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601059"
}
%0 Journal Article
%T An OpenFlow-based performance-oriented multipath forwarding scheme in datacenters
%A Bo Liu
%A Ming Chen
%A Bo Xu
%A Hui Hu
%A Chao Hu
%A Qing-yun Zuo
%A Chang-you Xing
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 7
%P 647-660
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601059
TY - JOUR
T1 - An OpenFlow-based performance-oriented multipath forwarding scheme in datacenters
A1 - Bo Liu
A1 - Ming Chen
A1 - Bo Xu
A1 - Hui Hu
A1 - Chao Hu
A1 - Qing-yun Zuo
A1 - Chang-you Xing
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 7
SP - 647
EP - 660
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1601059
Abstract: Although dense interconnection datacenter networks (DCNs) (e.g., FatTree) provide multiple paths and high bisection bandwidth for each server pair, the widely used single-path Transmission Control Protocol (TCP) and equal-cost multipath (ECMP) transport protocols cannot achieve high resource utilization due to poor resource excavation and allocation. In this paper, we present LESSOR, a performance-oriented multipath forwarding scheme to improve DCNs’ resource utilization. By adopting an openFlow-based centralized control mechanism, LESSOR computes near-optimal transmission path and bandwidth provision for each flow according to the global network view while maintaining nearly real-time network view with the performance-oriented flow observing mechanism. Deployments and comprehensive simulations show that LESSOR can efficiently improve the network throughput, which is higher than ECMP by 4.9%‐38.3% under different loads. LESSOR also provides 2%‐27.7% improvement of throughput compared with Hedera. Besides, LESSOR decreases the average flow completion time significantly.
[1]Al-Fares, M., Loukissas, A., Vahdat, A., 2008. A scalable, commodity data center network architecture. ACM SIGCOMM Comput. Commun. Rev., 38(4):63-74.
[2]Al-Fares, M., Radhakrishnan, S., Raghavan, B., et al., 2010. Hedera: dynamic flow scheduling for data center networks. Proc. 7th USENIX Conf. on Networked Systems Design and Implementation, p.1-15.
[3]Alizadeh, M., Greenberg, A., Maltz, D.A., et al., 2010. Data center TCP (DCTCP). ACM SIGCOMM Comput. Commun. Rev., 41(4):63-74.
[4]Alizadeh, M., Edsall, T., Dharmapurikar, S., et al., 2014. CONGA: distributed congestion-aware load balancing for datacenters. ACM SIGCOMM Comput. Commun. Rev., 44(4):503-514.
[5]Benson, T., Akella, A., Maltz, D.A., 2010. Network traffic characteristics of data centers in the wild. Proc. 10th ACM SIGCOMM Conf. on Internet Measurement, p.267-280.
[6]Benson, T., Anand, A., Akella, A., et al., 2011. MicroTE: fine grained traffic engineering for data centers. Proc. 7th Conf. on Emerging Networking EXperiments and Technologies, Article 8.
[7]Bredel, M., Bozakov, Z., Barczyk, A., et al., 2014. Flow-based load balancing in multipathed layer-2 networks using OpenFlow and multipath-TCP. Proc. 3rd Workshop on Hot Topics in Software Defined Networking, p.213-214.
[8]Cao, J., Xia, R., Yang, P., et al., 2013. Per-packet load-balanced, low-latency routing for Clos-based data center networks. Proc. 9th ACM Conf. on Emerging Networking EXperiments and Technologies, p.49-60.
[9]Chen, Y., Jain, S., Adhikari, V.K., et al., 2011. A first look at inter-data center traffic characteristics via Yahoo! datasets. Proc. IEEE INFOCOM, p.1620-1628.
[10]Chiesa, M., Kindler, G., Schapira, M., 2014. Traffic engineering with equal-cost-multipath: an algorithmic perspective. Proc. IEEE Conf. on Computer Communications, p.1590-1598.
[11]Curtis, A.R., Mogul, J.C., Tourrilhes, J., et al., 2011a. DevoFlow: scaling flow management for high-performance networks. ACM SIGCOMM Comput. Commun. Rev., 41(4):254-265.
[12]Curtis, A.R., Kim, W., Yalagandula, P., 2011b. Mahout: low-overhead datacenter traffic management using end-host-based elephant detection. Proc. IEEE INFOCOM, p.1629-1637.
[13]Dixit, A., Prakash, P., Hu, Y.C., et al., 2013. On the impact of packet spraying in data center networks. Proc. IEEE INFOCOM, p.2130-2138.
[14]Ford, A., Raiciu, C., Handley, M., et al., 2013. TCP Extensions for Multipath Operation with Multiple Addresses. RFC 6824.
[15]Greenberg, A., Hamilton, J.R., Jain, N., et al., 2011. VL2: a scalable and flexible data center network. Commun. ACM, 54(3):95-104.
[16]Handigol, N., Heller, B., Jeyakumar, V., et al., 2012. Reproducible network experiments using container-based emulation. Proc. 8th Int. Conf. on Emerging Networking EXperiments and Technologies, p.253-264.
[17]Hong, C.Y., Caesar, M., Godfrey, P.B., 2012. Finishing flows quickly with preemptive scheduling. ACM SIGCOMM Comput. Commun. Rev., 42(4):127-138.
[18]Hopps, C.E., 2000. Analysis of an Equal-Cost Multi-path Algorithm. RFC 2992. Available from http://www.ietf.org/rfc/rfc2992.txt.
[19]Jain, S., Kumar, A., Mandal, S., et al., 2013. B4: experience with a globally-deployed software defined WAN. ACM SIGCOMM Comput. Commun. Rev., 43(4):3-14.
[20]Kabbani, A., Vamanan, B., Hasan, J., et al., 2014. FlowBender: flow-level adaptive routing for improved latency and throughput in datacenter networks. Proc. 10th ACM Int. Conf. on Emerging Networking EXperiments and Technologies, p.149-160.
[21]Le, Q.Q., Yang, G.W., Hung, W.N.N., et al., 2014. Performance-driven assignment and mapping for reliable networks-on-chips. J. Zhejiang Univ.-Sci. C (Comput. & Electron.), 15(11):1009-1020.
[22]Li, X.L., Wang, H.M., Guo, C.G., et al., 2012. Topology awareness algorithm for virtual network mapping. J. Zhejiang Univ.-Sci. C (Comput. & Electron.), 13(3):178-186.
[23]Madry, A., 2010. Faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms. Proc. 42nd ACM Symp. on Theory of Computing, p.121-130.
[24]McKeown, N., Anderson, T., Balakrishnan, H., et al., 2008. OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev., 38(2):69-74.
[25]Mudigonda, J., Yalagandula, P., Al-Fares, M., et al., 2010. SPAIN: COTS data-center Ethernet for multipathing over arbitrary topologies. Proc. 7th USENIX Conf. on Networked Systems Design and Implementation, p.18-33.
[26]Peng, Y., Chen, K., Wang, G., et al., 2014. HadoopWatch: a first step towards comprehensive traffic forecasting in cloud computing. Proc. IEEE Conf. on Computer Communications, p.19-27.
[27]Qi, H., Shiraz, M., Liu, J.Y., et al., 2014. Data center network architecture in cloud computing: review, taxonomy, and open research issues. J. Zhejiang Univ.-Sci. C (Comput. & Electron.), 15(9):776-793.
[28]Raiciu, C., Handley, M., Wischik, D., 2011a. Coupled Congestion Control for Multipath Transport Protocols. RFC 6356.
[29]Raiciu, C., Barre, S., Pluntke, C., et al., 2011b. Improving datacenter performance and robustness with multipath TCP. ACM SIGCOMM Comput. Commun. Rev., 41(4):266-277.
[30]Rotsos, C., Sarrar, N., Uhlig, S., et al., 2012. OFLOPS: an open framework for OpenFlow switch evaluation. Proc. 13th Int. Conf. on Passive and Active Measurement, p.85-95.
[31]Wilson, C., Ballani, H., Karagiannis, T., et al., 2011. Better never than late: meeting deadlines in datacenter networks. ACM SIGCOMM Comput. Commun. Rev., 41(4):50-61.
[32]Yu, C., Lumezanu, C., Zhang, Y., et al., 2013. FlowSense: monitoring network utilization with zero measurement cost. Proc. 14th Int. Conf. on Passive and Active Measurement, p.31-41.
[33]Zats, D., Das, T., Mohan, P., et al., 2012. DeTail: reducing the flow completion time tail in datacenter networks. ACM SIGCOMM Comput. Commun. Rev., 42(4):139-150.
ORCID: 
Open peer comments: Debate/Discuss/Question/Opinion
<1>