Workload-based multi-task scheduling in cloud manufacturing

Robotics and Computer-Integrated Manufacturing

Volumn 45, Issue , 2017, Pages 3-20

  Liu, Yongkui ^a,b   Xu, Xun ^a   Zhang, Lin ^b   Wang, Long ^c   Zhong, Ray Y ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b BEIHANG UNIVERSITY   (China)

^c PEKING UNIVERSITY   (China)

Author keywords

Cloud manufacturing; Multi task scheduling; Task workload

Indexed keywords

COMPUTER AIDED MANUFACTURING; MULTITASKING; SCHEDULING ALGORITHMS;

CENTRALIZED MANAGEMENT; CLOUD MANUFACTURING; DISTRIBUTED MANUFACTURING; EFFICIENCY COEFFICIENT; MANUFACTURING SERVICE; MANUFACTURING TASKS; TASK WORKLOADS; TOTAL COMPLETION TIME;

MANUFACTURE;

EID: 85006791738     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2016.09.008     Document Type: Article

References (29)

1. [1] Li, B.-H., Zhang, L., Wang, S.-L., Tao, F., Cao, J.-W., Jiang, X.-D., Song, X., Chai, X.-D., Cloud manufacturing: a new service-oriented networked manufacturing model. Comput. Integr. Manuf. Syst. 16:1 (2010), 1–7.
2. [2] Zhang, L., Luo, Y., Tao, F., Li, B., Ren, L., Zhang, X., Guo, H., Cheng, Y., Hu, A., Liu, Y., Cloud manufacturing: a new manufacturing paradigm. Enterp. Inf. Syst. 8:2 (2014), 167–187.
3. [3] Adamson, G., Wang, L., Holm, M., Moore, P., Cloud manufacturing – a critical review of recent development and future trends. Int. J. Comput. Integr. Manuf., 2015, 10.1080/0951192X.2015.1031704.
4. [4] Xu, X., From cloud computing to cloud manufacturing. Robot. Comput.-Integr. Manuf. 28:1 (2012), 75–86.
5. [5] Cao, Y., Wang, S., Kang, L., Cao, Y., A TQCS-based service selection and scheduling strategy in cloud manufacturing. Int. J. Adv. Manuf. Technol. 82:1–4 (2016), 235–251.
6. [6] Tao, F., LaiLi, Y., Xu, L., Zhang, L., FC-PACO-RM: a parallel method for service composition optimal-selection in cloud manufacturing system. IEEE Trans. Ind. Inform. 9:4 (2013), 2023–2033.
7. [7] Lartigau, J., Xu, X., Nie, L., Zhan, D., Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimisation algorithm. Int. J. Prod. Res. 53:14 (2015), 4380–4404.
8. [8] Jin, H., Yao, X., Chen, Y., Correlation-aware QoS modelling and manufacturing cloud service composition. J. Intell. Manuf., 2015, 10.1007/s10845-015-1080-2 (in press).
9. [9] Jian, C.F., Wang, Y., Batch task scheduling-oriented optimization modelling and simulation in cloud manufacturing. Int. J. Simul. Model. 13:1 (2014), 93–101.
10. [10] Cheng, Z., Zhan, D., Zhao, X., Wan, H., Multitask oriented virtual resource integration and optimal scheduling in cloud manufacturing. J. Appl. Math., 2014, 2014.
11. [11] W.LiC.ZhuL.YangE.NgaiY.Ma, Subtask Scheduling for Distributed Robots in Cloud Manufacturing, IEEE SYST. J. 2015 http://dx.doi.org/10.1109/JSYST.2015.2438054.
12. [12] P.KumarA.Verma, Scheduling using improved genetic algorithm in cloud computing for independent tasks, in: Proceedings of the International Conference on Advances in Computing, Communications and Informatics, ACM, 2012, 137–142.
13. [13] Wu, X., Deng, M., Zhang, R., Zeng, B., Zhou, S., A task scheduling algorithm based on QoS-driven in Cloud Computing. Procedia Comput. Sci. 17 (2013), 1162–1169.
14. [14] Li, B.-H., Zhang, L., Ren, L., Chai, X.-D., Tao, F., Luo, Y.-L., Wang, Y.-Z., Yin, C., Huang, G., Zhao, X.-P., Further discussion on cloud manufacturing. Comput. Integr. Manuf. Syst. 17:3 (2011), 450–457.
15. [15] Duflou, J.R., Sutherland, J.W., Dornfeld, D., Herrmann, C., Jeswiet, J., Kara, S., Hauschild, M., Kellens, K., Towards energy and resource efficient manufacturing: a processes and systems approach. CIRP Ann.-Manuf. Technol. 61:2 (2012), 587–609.
16. [16] Vidayev, I.G., Martyushev, N., Ivashutenko, A.S., Bogdan, A.M., The resource efficiency assessment technique for the foundry production. Adv. Mater. Res. 880 (2014), 141–145.
17. [17] J.LartigauL.NieX.XuT.Mou, Scheduling methodology for production services in Cloud Manufacturing, in: IEEE International Joint Conference on Service Sciences (IJCSS), 2012, 34–39.
18. [18] Wang, T., Guo, S., Lee, C.G., Manufacturing task semantic modelling and description in cloud manufacturing system. Int. J. Adv. Manuf. Technol. 71:9–12 (2014), 2017–2031.
19. [19] Wang, S.-L., Song, W.-Y., Kang, L., Li, Q., Guo, L., Chen, G.-S., Manufacturing resource allocation based on cloud manufacturing. Comput. Integr. Manuf. Syst. 18:7 (2012), 1396–1405.
20. [20] N. Liu, X. Li, A resource virtualization mechanism for cloud manufacturing systems, in: Enterprise Interoperability, Springer: Berlin, Heidelberg, 2012, 46–59.
21. [21] Liu, W.-N., Liu, B., Sun, D.-H., Multi-task oriented service composition in cloud manufacturing. Comput. Integr. Manuf. Syst. 19:1 (2013), 199–209.
22. [22] Liu, W., Liu, B., Sun, D., Li, Y., Ma, G., Study on multi-task oriented services composition and optimisation with the ‘Multi-Composition for Each Task’ pattern in cloud manufacturing systems. Int. J. Comput. Integr. Manuf. 26:8 (2013), 786–805.
23. [23] Y.WeiL.Tian, Research on cloud design resources scheduling based on genetic algorithm, in: IEEE International Conference on Systems and Informatics (ICSAI), 2012, 2651–2656.
24. [24] Y.LailiL.ZhangF.Tao, Energy adaptive immune genetic algorithm for collaborative design task scheduling in cloud manufacturing system, in: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011, 1912–1916.
25. [25] Lin, Y., Chong, C.S., Fast GA-based project scheduling for computing resources allocation in a cloud manufacturing system. J. Intell. Manuf., 2015, 10.1007/s10845-015-1074-0.
26. [26] Cheng, Y., Tao, F., Liu, Y., Zhao, D., Zhang, L., Xu, L., Energy-aware resource service scheduling based on utility evaluation in cloud manufacturing system. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., 2013 (0954405413492966).
27. [27] Tao, F., Cheng, Y., Zhang, L., Zhao, D., Utility modelling, equilibrium, and coordination of resource service transaction in service-oriented manufacturing system. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 226:6 (2012), 1099–1117.
28. [28] Tao, F., Zhao, D., Hu, Y., Zhou, Z., Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system. IEEE Trans. Ind. Inform. 4:4 (2008), 315–327.
29. [29] Liu, Y., Zhang, L., Tao, F., Wang, L., Resource service sharing in cloud manufacturing based on the Gale–Shapley algorithm: advantages and challenge. Int. J. Comput. Integr. Manuf., 2015, 10.1080/0951192X.2015.1067916.