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Articles

A blockchain-based service composition architecture in cloud manufacturing

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Pages 701-715 | Received 28 Apr 2018, Accepted 06 Dec 2018, Published online: 06 Feb 2019

References

  • Adamson, G., L. Wang, and M. Holm, 2013. “The State of the Art of Cloud Manufacturing and Future Trendsed.” ASME 2013 International Manufacturing Science and Engineering Conference, Madison, Wisconsin, USA.
  • Camarinha-Matos, L. M., H. Afsarmanesh, N. Galeano, and A. Molina. 2009. “Collaborative Networked Organizations – Concepts and Practice in Manufacturing Enterprises.” Computers & Industrial Engineering 57 (1): 46–60. doi:10.1016/j.cie.2008.11.024.
  • Cardoso, J., A. Sheth, J. Miller, J. Arnold, and K. Kochut. 2004. “Quality of Service for Workflows and Web Service Processes.” Web Semantics: Science, Services and Agents on the World Wide Web 1 (3): 281–308. doi:10.1016/j.websem.2004.03.001.
  • Chen, F., R. Dou, M. Li, and H. Wu. 2016. “A Flexible Qos-Aware Web Service Composition Method by Multi-Objective Optimization in Cloud Manufacturing.” Computers & Industrial Engineering 99: 423–431. doi:10.1016/j.cie.2015.12.018.
  • Fanjiang, Y. Y., and Y. Syu. 2014. “Semantic-Based Automatic Service Composition with Functional and Non-Functional Requirements in Design Time: A Genetic Algorithm Approach.” Information and Software Technology 56 (3): 352–373. doi:10.1016/j.infsof.2013.12.001.
  • Fisher, O., N. Watson, L. Porcu, D. Bacon, M. Rigley, and R. L. Gomes. 2018. “Cloud Manufacturing as a Sustainable Process Manufacturing Route.” Journal of Manufacturing Systems 47: 53–68. doi:10.1016/j.jmsy.2018.03.005.
  • Gabrel, V., M. Manouvrier, K. Moreau, and C. Murat. 2018. “Qos-Aware Automatic Syntactic Service Composition Problem: Complexity and Resolution.” Future Generation Computer Systems 80: 311–321. doi:10.1016/j.future.2017.04.009.
  • Gao, J., Y. Yao, V. C. Y. Zhu, L. Sun, and L. Lin. 2011. “Service-Oriented Manufacturing: A New Product Pattern and Manufacturing Paradigm.” Journal of Intelligent Manufacturing 22 (3): 435–446. doi:10.1007/s10845-009-0301-y.
  • Kennedy, J. 2010. “Particle Swarm Optimization.” In Encyclopedia of Machine Learning, edited by C. Sammut and G. I. Webb, 760–766. Boston, MA: Springer US.
  • Kennedy, J., and R. Eberhart. 1995. “Particle swarm optimization.” Proceedings of the IEEE International Conference on Neural Networks, Perth, WA, Australia.
  • Li, J., J. Wu, and L. Chen. 2018a. “Block-Secure: Blockchain Based Scheme for Secure P2p Cloud Storage.” Information Sciences 465: 219–231. doi:10.1016/j.ins.2018.06.071.
  • Li, X., P. Jiang, T. Chen, X. Luo, and Q. Wen. 2017. “A Survey on the Security of Blockchain Systems.” Future Generation Computer Systems. doi:10.1016/j.future.2017.08.020.
  • Li, Z., A. V. Barenji, and G. Q. Huang. 2018b. “Toward a Blockchain Cloud Manufacturing System as a Peer to Peer Distributed Network Platform.” Robotics and Computer-Integrated Manufacturing 54: 133–144. doi:10.1016/j.rcim.2018.05.011.
  • Li, Z., W. M. Wang, G. Liu, L. Liu, J. He, and G. Q. Huang. 2018c. “Toward Open Manufacturing: A Cross-Enterprises Knowledge and Services Exchange Framework Based on Blockchain and Edge Computing.” Industrial Management & Data Systems 118 (1): 303–320. doi:10.1108/IMDS-04-2017-0142.
  • Liao, J., Y. Liu, X. Zhu, and J. Wang. 2014. “Accurate Sub-Swarms Particle Swarm Optimization Algorithm for Service Composition.” Journal of Systems and Software 90: 191–203. doi:10.1016/j.jss.2013.11.1113.
  • Lu, Y., and X. Xu. 2017. “A Semantic Web-Based Framework for Service Composition in A Cloud Manufacturing Environment.” Journal of Manufacturing Systems 42: 69–81. doi:10.1016/j.jmsy.2016.11.004.
  • Lu, Y., X. Xu, and J. Xu. 2014. “Development of a Hybrid Manufacturing Cloud.” Journal of Manufacturing Systems 33 (4): 551–566. doi:10.1016/j.jmsy.2014.05.003.
  • Mardukhi, F., N. Nematbakhsh, K. Zamanifar, and A. Barati. 2013. “Qos Decomposition for Service Composition Using Genetic Algorithm.” Applied Soft Computing 13 (7): 3409–3421. doi:10.1016/j.asoc.2012.12.033.
  • Minoli, D., and B. Occhiogrosso. 2018. “Blockchain Mechanisms for Iot Security.” Internet of Things 1–2: 1–13. doi:10.1016/j.iot.2018.05.002.
  • Mladineo, M., S. Celar, L. Celent, and M. Crnjac. 2018. “Selecting Manufacturing Partners in Push and Pull-Type Smart Collaborative Networks.” Advanced Engineering Informatics 38: 291–305. doi:10.1016/j.aei.2018.08.001.
  • Poli, R., J. Kennedy, and T. Blackwell. 2007. “Particle Swarm Optimization.” Swarm Intelligence 1 (1): 33–57. doi:10.1007/s11721-007-0002-0.
  • Ramírez, A., J. A. Parejo, J. R. Romero, S. Segura, and A. Ruiz-Cortés. 2017. “Evolutionary Composition of Qos-Aware Web Services: A Many-Objective Perspective.” Expert Systems with Applications 72: 357–370. doi:10.1016/j.eswa.2016.10.047.
  • Reyna, A., C. Martín, J. Chen, E. Soler, and M. Díaz. 2018. “On Blockchain and Its Integration with Iot. Challenges and Opportunities.” Future Generation Computer Systems 88: 173–190. doi:10.1016/j.future.2018.05.046.
  • Saremi, S., S. Mirjalili, A. Lewis, A. W. C. Liew, and J. S. Dong. 2018. “Enhanced Multi-Objective Particle Swarm Optimisation for Estimating Hand Postures.” Knowledge-Based Systems 158: 175–195. doi:10.1016/j.knosys.2018.05.043.
  • Shannon, C. E., and W. Weaver. 1998. The Mathematical Theory of Communication. Urbana and Chicago: University of Illinois press.
  • Sikorski, J. J., J. Haughton, and M. Kraft. 2017. “Blockchain Technology in the Chemical Industry: Machine-To-Machine Electricity Market.” Applied Energy 195: 234–246. doi:10.1016/j.apenergy.2017.03.039.
  • Tang, H., Y. Shi, and P. Dong. 2019. “Public Blockchain Evaluation Using Entropy and Topsis.” Expert Systems with Applications 117: 204–210. doi:10.1016/j.eswa.2018.09.048.
  • Tao, F., Y. F. Hu, and Z. D. Zhou. 2009. “Application and Modeling of Resource Service Trust-Qos Evaluation in Manufacturing Grid System.” International Journal of Production Research 47 (6): 1521–1550. doi:10.1080/00207540701551927.
  • Tao, F., L. Zhang, V. Venkatesh, Y. Luo, and Y. Cheng. 2011. “Cloud Manufacturing: A Computing and Service- Oriented Manufacturing Model.” Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 225 (225): 1969–1976. doi:10.1177/0954405411405575.
  • Tao, F., D. Zhao, H. Yefa, and Z. Zhou. 2010. “Correlation-Aware Resource Service Composition and Optimal-Selection in Manufacturing Grid.” European Journal of Operational Research 201 (1): 129–143. doi:10.1016/j.ejor.2009.02.025.
  • Vakili, A., and N. J. Navimipour. 2017. “Comprehensive and Systematic Review of the Service Composition Mechanisms in the Cloud Environments.” Journal of Network and Computer Applications 81: 24–36. doi:10.1016/j.jnca.2017.01.005.
  • Valle, Y. D., G. K. Venayagamoorthy, S. Mohagheghi, J. C. Hernandez, and R. G. Harley. 2008. “Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems.” IEEE Transactions on Evolutionary Computation 12 (2): 171–195. doi:10.1109/TEVC.2007.896686.
  • Wang, H., D. Yang, Q. Yu, and Y. Tao. 2018. “Integrating Modified Cuckoo Algorithm and Creditability Evaluation for Qos-Aware Service Composition.” Knowledge-Based Systems 140: 64–81. doi:10.1016/j.knosys.2017.10.027.
  • Wu, Q., and Q. Zhu. 2013. “Transactional and Qos-Aware Dynamic Service Composition Based on Ant Colony Optimization.” Future Generation Computer Systems 29 (5): 1112–1119. doi:10.1016/j.future.2012.12.010.
  • Yang, C., X. Chen, and Y. Xiang. 2018. “Blockchain-Based Publicly Verifiable Data Deletion Scheme for Cloud Storage.” Journal of Network and Computer Applications 103: 185–193. doi:10.1016/j.jnca.2017.11.011.
  • Yang, C., W. Shen, T. Lin, and X. Wang. 2016. “Iot-Enabled Dynamic Service Selection across Multiple Manufacturing Clouds.” Manufacturing Letters 7: 22–25. doi:10.1016/j.mfglet.2015.12.001.
  • Yew, A. W. W., S. K. Ong, and A. Y. C. Nee. 2016. “Towards a Griddable Distributed Manufacturing System with Augmented Reality Interfaces.” Robotics and Computer-Integrated Manufacturing 39: 43–55. doi:10.1016/j.rcim.2015.12.002.
  • Yu, C., S. Mou, Y. Ji, X. Xu, and X. Gu. 2018. “A Delayed Product Differentiation Model for Cloud Manufacturing.” Computers & Industrial Engineering 117: 60–70. doi:10.1016/j.cie.2018.01.019.
  • Zhou, J., and X. Yao. 2017. “Multi-Population Parallel Self-Adaptive Differential Artificial Bee Colony Algorithm with Application in Large-Scale Service Composition for Cloud Manufacturing.” Applied Soft Computing 56: 379–397. doi:10.1016/j.asoc.2017.03.017.
  • Zhou, J., X. Yao, Y. Lin, F. T. S. Chan, and Y. Li. 2018. “An Adaptive Multi-Population Differential Artificial Bee Colony Algorithm for Many-Objective Service Composition in Cloud Manufacturing.” Information Sciences 456: 50–82. doi:10.1016/j.ins.2018.05.009.

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