[ 1 ] Hughes D, Ueyama J, Mendiondo E, Matthys N, Horré W, Michiels S, et al. A middleware platform to support river monitoring using wireless sensor networks. J Braz Comput Soc 2011;17(2):85–102. 链接1

[ 2 ] Jiang P, Ding K, Leng J. Towards a cyber–physical–social-connected and service-oriented manufacturing paradigm: social manufacturing. Manuf Lett 2016;7:15–21. 链接1

[ 3 ] Wang JL, Zhang J. Big data analytics for forecasting cycle time in semiconductor wafer fabrication system. Int J Prod Res 2016;54(23):7231–44. 链接1

[ 4 ] Wang JL, Zhang J, Wang XX. Bilateral LSTM: a two-dimensional long shortterm memory model with multiply memory units for short-term cycle time forecasting in re-entrant manufacturing systems. IEEE Trans Industr Inform 2018;14(2):748–58. 链接1

[ 5 ] Zhang WJ, Lin Y. On the principle of design of resilient systems—application to enterprise information systems. Enterprise Inf Syst 2010;4(2):99–110. 链接1

[ 6 ] Zhang WJ, van Luttervelt CA. Toward a resilient manufacturing system. CIRP Ann 2011;60(1):469–72. 链接1

[ 7 ] Tsuda T, Inoue S, Kayahara A, Imai S, Tanaka T, Sato N, et al. Advanced semiconductor manufacturing using big data. IEEE Trans Semicond Manuf 2015;28(3):229–35. 链接1

[ 8 ] Lu C, Li X, Gao L, Liao W, Yi J. An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times. Comput Ind Eng 2017;104:156–74. 链接1

[ 9 ] Lei CU, Man KL, Liang HN, Lim EG, Wan KY. Building an intelligent laboratory environment via a cyber–physical system. Int J Distrib Sens Netw 2013;9 (12):109014. 链接1

[10] Wang JL, Zhang J, Wang XX. A data driven cycle time prediction with feature selection in a semiconductor wafer fabrication system. IEEE Trans Semicond Manuf 2018;31(1):173–82. 链接1

[11] Wang W, Chong W, Liu D, Liang HN, Man KL, Han YS, et al. An examination of the internet of things through the data management perspective. J Platf Technol 2014;2(2):16–30. 链接1

[12] Lu C, Gao L, Li XY, Chen P. Energy-efficient multi-pass turning operation using multi-objective backtracking search algorithm. J Clean Prod 2016; 137:1516–31. 链接1

[13] Lu C, Gao L, Li XY, Xiao SQ. A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry. Eng Appl Artif Intell 2017;57:61–79. 链接1

[14] Kusiak A, Xu GL. Modeling and optimization of HVAC systems using a dynamic neural network. Energy 2012;42(1):241–50. 链接1

[15] Zhong RY, Xu C, Chen C, Huang GQ. Big data analytics for physical Internetbased intelligent manufacturing shop floors. Int J Prod Res 2017;55(9):2610–21. 链接1

[16] Zhang W. An integrated environment for CAD/CAM of mechanical systems [dissertation]. Delft: TU Delft; 1994. 链接1

[17] Majkic´ Z. Big data integration theory: theory and methods of database mappings, programming languages, and semantics. Heidelberg: Springer; 2014. 链接1

[18] Wang G, Gunasekaran A, Ngai EWT, Papadopoulos T. Big data analytics in logistics and supply chain management: certain investigations for research and applications. Int J Prod Econ 2016;176:98–110. 链接1

[19] Mourtzis D, Vlachou E, Milas N. Industrial big data as a result of IoT adoption in manufacturing. Procedia CIRP 2016;55:290–5. 链接1

[20] Lim JB, Yu HC, Gil JM. An efficient and energy-aware cloud consolidation algorithm for multimedia big data applications. Symmetry 2017;9(9):184. 链接1

[21] Kadadi A, Agrawal R, Nyamful C, Atiq R. Challenges of data integration and interoperability in big data. In: Proceedings of 2014 IEEE International Conference on Big Data; 2014 Sep 27–30; Washington, DC, USA. Piscataway: IEEE; 2015. p. 38–40. 链接1

[22] Hashem IAT, Yaqoob I, Anuar NB, Mokhtar S, Gani A, Khan SU. The rise of ‘‘big data” on cloud computing: review and open research issues. Inf Syst 2015;47:98–115. 链接1

[23] Wang JL, Yang JG, Zhang J, Wang XX, Zhang WJ. Big data driven cycle time parallel prediction for production planning in wafer manufacturing. Enterprise Inf Syst 2018;12(6):714–32. 链接1

[24] Pan WK, Yang Q, Aggarwal C, Koch C. Big data. IEEE Intell Syst 2017;32(2):7–8. 链接1

[25] Xiang F, Yin Q, Wang Z, Jiang GZ. Systematic method for big manufacturing data integration and sharing. Int J Adv Manuf Technol 2018;94(9– 12):3345–58. 链接1

[26] Ma’ayan A, Rouillard AD, Clark NR, Wang ZC, Duan QN, Kou Y. Lean big data integration in systems biology and systems pharmacology. Trends Pharmacol Sci 2014;35(9):450–60. 链接1

[27] Mezghani E, Exposito E, Drira K, Da Silveira M, Pruski C. A semantic big data platform for integrating heterogeneous wearable data in healthcare. J Med Syst 2015;39(12):185. 链接1

[28] Jiang L, Xu LD, Cai H, Jiang Z, Bu F, Xu B. An IoT-oriented data storage framework in cloud computing platform. IEEE Trans Industr Inform 2014;10 (2):1443–51. 链接1

[29] Chang BR, Tsai HF, Tsai YC, Kuo CF, Chen CC. Integration and optimization of multiple big data processing platforms. Eng Comput 2016;33(6):1680–704. 链接1

[30] Suárez-Albela M, Fernández-Caramés TM, Fraga-Lamas P, Castedo L. A practical evaluation of a high-security energy-efficient gateway for IoT fog computing applications. Sensors 2017;17(9):E1978. 链接1

[31] Liu X, Zhang WJ, Radhakrishnan R, Tu YL. Manufacturing perspective of enterprise application integration: the state of the art review. Int J Prod Res 2008;46(16):4567–96. 链接1

[32] Varghese B, Wang N, Barbhuiya S, Kilpatrick P, Nikolopoulos DS. Challenges and opportunities in edge computing. In: Proceedings of IEEE International Conference on Smart Cloud; 2016 Nov 18–20; New York, NY, USA. Piscataway: IEEE; 2016. p. 20–6. 链接1

[33] Shi W, Dustdar S. The promise of edge computing. Computer 2016;49 (5):78–81. 链接1

[34] Zhang Q, Zhang XH, Zhang QY, Shi WS, Zhong H. Firework: big data sharing and processing in collaborative edge environment. In: Proceedings of the 4th IEEE Workshop on Hot Topics in Web Systems and Technologies; 2016 Oct 24–25; Washington, DC, USA. Piscataway: IEEE; 2016. p. 20–55. 链接1

[35] Tang B, Chen Z, Hefferman G, Wei T, He H, Yang Q. A hierarchical distributed fog computing architecture for big data analysis in smart cities. In: Proceedings of the ASE Big Data & Social Informatics; 2015 Oct 7–9; Kaohsiung, Taiwan, China. New York: ACM; 2015. 链接1

[36] Kumar N, Zeadally S, Rodrigues JJPC. Vehicular delay-tolerant networks for smart grid data management using mobile edge computing. IEEE Commun Mag 2016;54(10):60–6. 链接1

[37] Liu JQ, Wan JF, Zeng B, Wang QR, Song HB, Qiu MK. A scalable and quickresponse software defined vehicular network assisted by mobile edge computing. IEEE Commun Mag 2017;55(7):94–100. 链接1

[38] Park HD, Min OG, Lee YJ. Scalable architecture for an automated surveillance system using edge computing. J Supercomput 2017;73(3):926–39. 链接1