[1] Czarnul P. Modeling, run-time optimization and execution of distributed work-flow applications in the JEE-based BeesyCluster environment[J]. The Journal of Supercomputing, 2013, 63(1):46-71.
[2] Nasonov D, Butakov N, Balakhontseva M, et al. Hybrid evolutionary workflow scheduling algorithm for dynamic heterogeneous distributed computational environment[J]. Springer International Publishing, 2014, 299(6):83-92.
[3] Chen Wei, Lee Youngchoon, Fekete A, et al. Adaptive multiple-work-flow scheduling with task rearrangement[J]. Journal of Supercomputing, 2015, 71(4):1297-1317.
[4] 苑迎春, 李小平, 王茜, 等. 基于逆向分层的网格工作流调度算法[J]. 计算机报, 2008, 31(2):282-290. Yuan Yinchun, Li Xiaoping, Wang Qian, et al. Bottom level based heuristic for workflow scheduling in grids[J]. Chinese Journal of Computers, 2008, 31(2):282-290.
[5] 刘灿灿, 张卫民, 骆志刚. 基于逆向分层的工作流时间-费用优化方法[J]. 国防科技大学学报, 2013, 35(3):61-66. Liu Cancan, Zhang Weimin, Luo Zhigang. Time and cost trade-off heuristics for workflow scheduling based on bottom level[J]. Journal of National University of Defense Technology, 2013, 35(3):61-66.
[6] Luo Zhiyong, Wang Peng, You Bo, et al. Serial reduction optimization research of complex product workflow's accuracy under the time constraint[J]. Advances in Mechanical Engineering, 2016, 8(10):1-9. |