1 |
CUNHAI, TEIXEIRAR, VEITCHD, et al. Predicting and tracking internet path changes[C]//Proceedings of the ACM SIGCOMM 2011 Conference. New York: ACM, 2011: 122-133.
|
2 |
JAINS, KUMARA, MANDALS, et al.B4: Experience with a globally-deployed software defined wan[C]//SIGCOMM'13: Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM. New York: ACM, 2013: 3-14.
|
3 |
PENGY H, YANGJ, WUC, et al. deTector: A topology-aware monitoring system for data center networks[C]//Proceedings of the 2017 USENIX Annual Technical Conference. Santa Clara: USENIX Association, 2017: 55-68.
|
4 |
MATHISM, ALLMANM. A Framework for Defining Empirical Bulk Transfer Capacity Metrics[R]. United States: RFC Editor, 2001.
|
5 |
曾彬. 基于主动测试的网络性能监测技术研究[D]. 长沙: 湖南大学, 2009.
|
|
ZENGB. Researches on Internet Performance Monitoring Based on Active Measurements[D]. Changsha: Hunan University, 2009. (in Chinese)
|
6 |
BREITBARTY, CHANC-Y, GAROFALAKISM, et al. Efficiently monitoring bandwidth and latency in IP networks[C]//Proceedings IEEE INFOCOM 2001, Conference on Computer Communications, Twentieth Annual Joint Conference of the IEEE Computer and Communications Society(Cat. No.01CH37213. Anchorage, AK: IEEE, 2001: 933-942.
|
7 |
CLAISEB, SADASIVANG, VALLURIV, et al. Cisco systems netflow services export version9, RFC 3954[EB/OL]. (2004-10)[2022-04-05]. .
|
8 |
TOOTOONCHIANA, GHOBADIM, GANJALIY. OpenTM: Traffic matrix estimator for OpenFlow networks[C]//International Conference on Passive and Active Network Measurement. Berlin, Heidelberg: Springer, 2010: 201-210.
|
9 |
GUOC X, YUANL H, XIANGD, et al. Pingmesh: A large-scale system for data center network latency measurement and analysis[C]//SIGCOMM'15: Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication. London: ACM, 2015: 139-152.
|
10 |
XIEK, WANGL L, WANGX, et al. Sequential and adaptive sampling for matrix completion in network monitoring systems[C]//2015 IEEE Conference on Computer Communications. Hong Kong: IEEE, 2015: 2443-2451.
|
11 |
KONGL H, XIAM Y, LIUX Y, et al. Data loss and reconstruction in sensor networks[C]//2013 Proceedings of IEEE International Conference on Computer Communications. Turin: IEEE, 2013: 1654-1662.
|
12 |
ZHANGY, ROUGHANM, WILLINGERW, et al. Spatio-temporal compressive sensing and Internet traffic matrices[J]. ACM SIGCOMM Computer Communication Review, 2009, 39(4): 267-278.
|
13 |
KORTASM, HABACHIO, BOUALLEGUEA, et al. Robust data recovery in wireless sensor network: A learning-based matrix completion framework[J]. Sensors(Basel), 2021, 21(3): 1016.
|
14 |
XIEK, CHENY X, WANGX, et al. Accurate and fast recovery of network monitoring data: A GPU accelerated matrix completion[J]. IEEE/ACM Transactions on Networking, 2020, 28(3): 958-971.
|
15 |
XIEK, WANGX G, WANGX, et al. Accurate recovery of missing network measurement data with localized tensor completion[J]. IEEE/ACM Transactions on Networking, 2019, 27(6): 2222-2235.
|
16 |
DENGL, ZHENGH F, LIUX Y, et al. Network latency estimation with leverage sampling for personal devices: An adaptive tensor completion approach[J]. IEEE/ACM Transactions on Networking, 2020, 28(6): 2797-2808.
|
17 |
WANGQ Q, CHENL, WANGQ, et al. Anomaly-aware network traffic estimation via outlier-robust tensor completion[J]. IEEE Transactions on Network and Service Management, 2020, 17(4): 2677-2689.
|
18 |
XIEK, LIS Q, WANGX, et al. Expectile tensor completion to recover skewed network monitoring data[C]//IEEE INFOCOM 2021-IEEE Conference on Computer Communications. Vancouver: IEEE, 2021: 1-10.
|
19 |
XIEK, LUH L, WANGX, et al. Neural tensor completion for accurate network monitoring[C]//IEEE INFOCOM 2020-IEEE Conference on Computer Communications. Toronto: IEEE, 2020: 1688-1697.
|
20 |
CARROLLJ D, CHANGJ J. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition[J]. Psychometrika, 1970, 35(3): 283-319.
|
21 |
HARSHMANR A. Foundations of the PARAFAC procedure: Models and conditions for an “explanatory” multimodal factor analysis[J]. UCLA Working Papers in Phonetics, 1970. 16: 1-84.
|
22 |
TUCKERL R. Some mathematical notes on three-mode factor analysis[J]. Psychometrika, 1966, 31(3): 279-311.
|
23 |
ZHENGZ B, LYUM R. WS-DREAM: A distributed reliability assessment mechanism for web services[C]//2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC. Anchorage: IEEE, 2008: 392-397.
|
24 |
张贤达. 矩阵分析与应用[M]. 北京: 清华大学出版社, 2008.
|
|
ZHANGX D. Matrix Analysis and Applications[M]. Beijing: Tsinghua University Press, 2008. (in Chinese)
|
25 |
BADERB W, KOLDAT G. Tensor toolbox for MATLAB, version 3.2.1[EB/OL]. (2021-04-05)[2022-04-05]. .
|
26 |
WENZ W, YINW T, ZHANGY. Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm[J]. Mathematical Programming Computation, 2012, 4(4): 333-361.
|
27 |
ACARE, DUNLAVYD M, KOLDAT G, et al. Scalable tensor factorizations for incomplete data[J]. Chemometrics and Intelligent Laboratory Systems, 2011, 106(1): 41-56.
|
28 |
WUX, SHIB X, DONGY X, et al. Neural tensor factorization for temporal interaction learning[C]//WSDM'19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. Melbourne: ACM, 2019: 537-545.
|
29 |
CHENH Y, LIJ. Neural tensor model for learning multi-aspect factors in recommender systems[C]//Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. Yokohama: International Joint Conferences on Artificial Intelligence Organization, 2020: 2449-2455.
|
30 |
LIUH P, LIY G, TSANGM, et al. CoSTCo: A neural tensor completion model for sparse tensors[C]//KDD'19 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Anchorage: ACM, 2019: 324-334.
|