Page 40 - 网络电信2021年1/2月刊下
P. 40
[27] Kanaumi Y, Saito S, Kawai E, et al. RISE: A wide-area [42] Zhang M, Luo H, Zhang H. A survey of caching mechanisms
hybrid OpenFlow network testbed [J]. IEICE transactions in information-centric networking[J]. IEEE Communications
on communications, 2013, 96(1): 108-118. Surveys & Tutorials, 2015, 17(3): 1473-1499.
[28] Kanaumi Y, Saito S, Kawai E, et al. Deployment and [43] Zhang L, Afanasyev A, Burke J, et al. Named data
operation of wide-area hybrid OpenFlow networks[C]//2012 networking[J]. ACM SIGCOMM Computer Communication Review,
IEEE Network Operations and Management Symposium. IEEE, 2014, 44(3): 66-73.
2012: 1135-1142. [44] Antonio S. Cisco Delivers Vision of Fog Computing to
[29] National Institute of Information and Communications Accelerate Value from Billions of Connected Devices[J].
Technology (NICT). Location of RISE Sites [EB/OL]. 2020. Cisco, 2014.
https://testbed.nict.go.jp/rise/english/index.html [45] Hu Y C, Patel M, Sabella D, et al. Mobile edge
[30] NICT ICT Testbed Research and Development Promotion computing—A key technology towards 5G[J]. ETSI white
Center. About NICT’s Integrated Testbed [EB/OL]. 2020. paper, 2015, 11(11): 1-16.
https://testbed.nict.go.jp/english/index.html [46] Huo R, Yu F R, Huang T, et al. Software defined
[31] Miyachi T, Chinen K, Shinoda Y. StarBED and SpringOS: networking, caching, and computing for green wireless
Large-scale general purpose network testbed and networks[J]. IEEE Communications Magazine, 2016, 54(11):
supporting software[C]//Proceedings of the 1st 185-193.
international conference on Performance evaluation [47] Beck M, Moore T, Luszczek P, et al. Interoperable
methodolgies and tools. ACM, 2006: 30. Convergence of Storage, Networking, and Computation[C]//
[32] Teranishi Y, Saito Y, Murono S, et al. JOSE: An open Future of Information Communication Conference. Springer,
testbed for field trials of large-scale IoT services[J]. Cham, 667-690.
Journal of the National Institute of Information and [48] Zhou Y, Tian L, Liu L, et al. Fog computing enabled mobile
Communications Technology, 2015, 62(2). communication networks: a convergence communication and
[33] National Institute of Information and Communications computing[J]. IEEE Communications Magazine, 2019, 57(5):
Technology (NICT). Location of RISE Sites [EB/OL]. 2020. 20-27.
https://testbed.nict.go.jp/rise/english/index.html [49] Wang S, Zhang X, Zhang Y, et al. A survey on
[34] Linguaglossa L, lange S, Pontarelli S, et al. Survey of mobile networks: Convergence of computing, caching
Performance Acceleration Techniques for Network Function communications[J]. IEEE Access, 2017, 5: 6757-6779.
Virtualization[J]. Proceedings of the IEEE, IEEE, 2019: [50] Boutaba R, Salahuddin M A, Limam N, comprehensive
746-764. survey on machine learning for networking: evolution,
[35] Zhao Y, Li Y, Zhang X, et al. A Survey of Networking applications and research opportunities[Journal of
Applications Applying the Software Defined Networking Internet Services and Applications, 2018,16.
Concept Based on Machine Learning[J]. IEEE Access, 2019, [51] Wang S, Tuor T, Salonidis T, et al. Adaptive learning in
7: 95397-95417. resource constrained edge computing systems[IEEE Journal
[36] CNOS[EB/OL]. 2020. http://m.news.cctv.com/2019/05/23/ on Selected Areas in Communications, 37(6): 1205-1221.
ARTI7H8LXQOw50NQjt7VnOT8190523.shtml [52] Usman M, Jan M A, He X, et al. P2DCA: Privacy-
[37] M. Shahbaz et al. PISCES: A programmable, protocol- Preserving-Based Data Collection and Framework for
independent software switch[C].//ACM SIGCOMM ,ACM. IoMT Applications[J]. IEEE Journal Selected Areas in
2016:525–538. Communications, 2019, 1222-1230.
[38] H.Wang, K.S.Lee, V.Shrivastav, et al. P4FPGA:High level [53] Marchal S, Miettinen M, Nguyen T D, et al. AuDI:
synthesis for networking[C].//ACM SIGCOMM Workshop Netw. Autonomous IoT Device-Type Identification Using
Program. Lang (NetPL). ACM , 2016. C o m m u n i c a t i o n [ J ] . I E E E J o u r n a l o n S e l e c t e d
[39] H. Wang et al. P4FPGA: A rapid prototyping framework for Communications, 2019, 37(6): 1402-1412.
P4[C]// Symp. SDN Res. 2017:122–135. [54] Xiao F, Chen L, Zhu H, et al. Anomaly-tolerant traffic
[40] L.Wirbel. Xilinx SDNet:A new way to specify network estimation via noise-immune temporal completion model[J].
hardware. [EB/OL]. 2020.https://www.linleygroup.com/ IEEE Journal on Selected Communications, 2019, 37(6):
uploads/xilinx-sdnet-wp.pdf 1192-1204.
[41] Jacobson V, Smetters D K, Thornton J D, et al. Networking [55] Zhang C, Zhang H, Qiao J, et al. Deep transfer learning
named content[C]//Proceedings of the 5th international intelligent cellular traffic prediction based on
conference on Emerging networking experiments and cross-big data[J]. IEEE Journal on Selected Areas
technologies. ACM, 2009: 1-12. Communications, 2019, 37(6): 1389-1401. (下转第46页)
网络电信 二零二一年一、二月 67