Estimating SDN traffic matrix based on online adaptive information gain maximization method

Medina A, Taft N, Salamatian K, Bhattacharyya S, Diot C (2002) Traffic matrix estimation: existing techniques and new directions. In: ACM SIGCOMM computer communication review. ACM, pp 161–174

Mckeown N, Anderson T, Balakrishnan H, Parulkar G, Peterson L, Rexford J, Shenker S, Turner J (2008) OpenFlow: enabling innovation in campus networks. In: ACM SIGCOMM computer communication review. ACM, pp 69–74

Polverini M, Baiocchi A, Cianfrani A, Iacovazzi A, Listanti M (2016) The power of SDN to improve the estimation of the ISP traffic matrix through the flow spread concept. IEEE J Sel Areas in Commun 34(6):1904–1913

Tune P, Roughan M (2013) Internet traffic matrices: a primer. in Recent Advances in Networking, vol 1, ACM SIGCOMM eBook, Aug. 2013

Lakhina A, Papagiannaki K, Crovella M, Diot C, Kolaczyk E.D, Taft N (2004) Structural analysis of network traffic flows. In: Joint International Conference on Measurement and Modeling of Computer Systems, pp 61–72

Crovella M (2012) On traffic matrix completion in the internet. In: ACM SIGCOMM Internet Measurement Conference. ACM, pp 399–412

Li D, Dai N, Li F, Xing C, Dai F (2017) Estimating SDN traffic matrix based on online informative flow measurement method. In: International Conference on Advanced Cloud and Big Data, pp 75–80

Tebaldi C, West M (1998) Bayesian inference on network traffic using link count data. J Am Stat Assoc 93(442):557–573

Liang G, Yu B (2003) Maximum pseudo likelihood estimation in network tomography. IEEE Trans Signal Process 51(8):2043–2053

Zhang Y, Roughan M, Duffield N, Greenberg A (2003) Fast accurate computation of large-scale IP traffic matrices from link loads. In: ACM SIGMETRICS ACM, pp 206–217, 31

Nucci A, Cruz R, Taft N, Diot C (2004) Design of IGP link weight changes for estimation of traffic matrices. In: IEEE INFOCOM IEEE, pp 2341–2351

Papagiannaki K, Taft N, Lakhina A (2004) A distributed approach to measure IP traffic matrices. ACM SIGCOMM Internet Measurement Conference ACM:161–174

Soule A, Nucci A, Taft N (2005) Traffic matrix tracking using Kalman filters. In: ACM Sigmetrics performance evaluation review. ACM, pp 24–31

Xie K, Wang L, Wang X, Xie G, Wen J, Zhang G (2016) Accurate recovery of internet traffic data: a tensor completion approach. IEEE INFOCOM, IEEE:1–9

Xie K, Peng C, Wang X, Xie G, Wen J (2017) Accurate recovery of internet traffic data under dynamic measurements. IEEE INFOCOM, IEEE:1–9

Yuan L, Chuah CN, Mohapatra P (2011) ProgME: towards programmable network measurement. IEEE/ACM Trans Networking 19(1):115–128

Yu M, Jose L, Miao R (2013) Software defined traffic measurement with OpenSketch. In: the 10th USENIX conference on Networked Systems Design and Implementation, pp 29–42

Tootoonchian A, Ghobadi M, Ganjali Y (2010) OpenTM: traffic matrix estimator for OpenFlow networks. International Conference on Passive and Active Measurement:201–210

Yu Y, Qian C, Li X (2014) Distributed and collaborative traffic monitoring in software defined networks. The Workshop on Hot Topics in Software Defined Networking:85–90

Malboubi M, Wang L, Chuah CN, Sharma P (2014) Intelligent SDN based traffic (de)aggregation and measurement paradigm (iSTAMP). IEEE INFOCOM, IEEE:934–942

Gong Y, Wang X, Malboubi M, Wang S, Xu S, Chuah CN (2015) Towards accurate online traffic matrix estimation in software-defined networks. ACM SIGCOMM SOSR, ACM:1–7

Xing C, Ding K, Hu C, Chen M (2016) Sample and fetch-based large flow detection mechanism in software defined networks. IEEE Commun Lett 20(9):1764–1767

Kullback S (1997) Information theory and statistics. Dover Publications, July 7:1997

SNDlib library (2014). http://sndlib.zib.de/home.action . Accessed 12 December 2017

DEFO Website (2015). http://sites.uclouvain.be/defo/ . Accessed 12 December 2017