Page 116 - 《软件学报》2021年第12期
P. 116
3780 Journal of Software 软件学报 Vol.32, No.12, December 2021
[7] Ahmed U, Lin JCW, Srivastava G, et al. A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster.
Soft Computing, https://doi.org/10.1007/s00500-020-05152-8
[8] Amulu LM, Ramraj R. Combinatorial meta-heuristics approaches for DVFS-enabled green clouds. The Journal of Supercomputing,
2020,76:5825−5834.
[9] Chen XJ, Shi C, Zhou AM, et al. Multiobjective evolutionary algorithm based on hybrid individual selection mechanism. Ruan Jian
Xue Bao/Journal of Software, 2019,30(12):3651−3664 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/
5602.htm [doi: 10.13328/j.cnki.jos.005602]
[10] Zheng JH, Dong NJ, Ruan G, et al. High-dimensional multi-objective optimization strategy based on decision space oriented search.
Ruan Jian Xue Bao/Journal of Software, 2019,30(9):2686−2704 (in Chinese with English abstract). http://www.jos.org.cn/1000-
9825/5842.htm [doi: 10.13328/j.cnki.jos.005842]
[11] Wang JL, Gong B, Liu H, et al. Model and algorithm of energy-efficiency aware scheduling for green heterogeneous computing.
Ruan Jian Xue Bao/Journal of Software, 2016,27(9):2414−2425 (in Chinese with English abstract). http://www.jos.org.cn/1000-
9825/4849.htm [doi: 10.13328/j.cnki.jos.004849]
[12] Liang B, Dong XS, Wang YF, et al. A low-power task scheduling algorithm for heterogeneous cloud computing. The Journal of
Supercomputing, 2020,76:7290−7314.
[13] Chen WH, Xie GQ, Li RF, et al. Execution cost minimization scheduling algorithms for deadlineconstrained parallel applications
on heterogeneous clouds. Cluster Computing—The Journal of Networks Software Tools and Applications, https://doi.org/10.1007/
s10586-020-03151-w
[14] Muhuri PK, Biswas SK. Bayesian optimization algorithm for multi-objective scheduling of time and precedence constrained tasks
in heterogeneous multiprocessor systems. Applied Soft Computing Journal, 2020,92:106274.
[15] Nik SSM, Naghibzadeh M, Sedaghat Y. Cost-driven workfow scheduling on the cloud with deadline and reliability constraints.
Computing, 2020,102:477−500. https://doi.org/10.1007/s00607-019-00740-5
[16] Abazari F, Analoui M, Takabi H, et al. MOWS: Multi-objective workflow scheduling in cloud computing based on heuristic
algorithm. Simulation Modelling Practice and Theory, 2019,93:119−132.
[17] Rizvi N, Ramesh D. HBDCWS: Heuristic-based budget and deadline constrained workflow scheduling approach for heterogeneous
clouds. Soft Computing, https://doi.org/10.1007/s00500-020-05127-9
[18] Pandey V, Saini P. A heuristic method towards deadline-aware energy-efficient mapreduce scheduling problem in Hadoop YARN.
Cluster Computing—The Journal of Networks Software Tools and Applications, https://doi.org/10.1007/s10586-020-03146-7
[19] Taheri G, Khonsari A, Entezari-Maleki R, et al. A hybrid algorithm for task scheduling on heterogeneous multiprocessor embedded
systems. Applied Soft Computing Journal, 2020,91:106202.
[20] Aziza H, Krichen S. A hybrid genetic algorithm for scientific workflow scheduling in cloud environment. Neural Computing and
Applications, https://doi.org/10.1007/s00521-020-04878-8
[21] Xie Y, Wu JZ. Multi-objective constraint task scheduling algorithm for multi-core processors. Cluster Computing—The Journal of
Networks Software Tools and Applications, 2019,22:953−964.
[22] He ZZ, Zhou JZ, Qin H, et al. Long-term joint scheduling of hydropower station group in the upper reaches of the Yangtze River
using partition parameter adaptation differential evolution. Engineering Applications of Artificial Intelligence, 2019, 81:1−13.
[23] Song YJ, Ma X, Li XJ, et al. Learning-guided nondominated sorting genetic algorithm II for multi-objective satellite range
scheduling problem. Swarm and Evolutionary Computation, 2019,49:194−205.
附中文参考文献:
[9] 陈晓纪,石川,周爱民,等.混合个体选择机制的多目标进化算法.软件学报,2019,30(12):3651−3664. http://www.jos.org.cn/1000-
9825/5602.htm [doi: 10.13328/j.cnki.jos.005602]
[10] 郑金华,董南江,阮干,等.决策空间定向搜索的高维多目标优化策略.软件学报,2019,30(9):2686−2704. http://www.jos.org.cn/
1000-9825/5842.htm [doi: 10.13328/j.cnki.jos.005842]
[11] 王静莲,龚斌,刘弘,等.支持绿色异构计算的能效感知调度模型与算法.软件学报,2016,27(9):2414−2425. http://www.jos.org.cn/
1000-9825/4849.htm [doi: 10.13328/j.cnki.jos.004849]