[1]Xia Wei.Research and improvement of job scheduling algorithms in Hadoop platform [D].Guangzhou:South China University of Technology,2010.(in Chinese)
[2]Li Cheng-hua, Zhang Xin-fang, Jin Hai, et al. MapReduce:A new programming model for distributed parallel computing[J].Computer Engineering & Science,2011,33(3):129-135.(in Chinese)
[3]Karaboga D,Basturk B.A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm[J].Journal of Global Optimization,2007,39(3):459-471.
[4]Zaharia M, Borthakur D, Sen Sarma J,et al.Delay scheduling:A simple technique for achieving locality and fairness in cluster scheduling[C]∥Proc of the 5th European Conference on Computer Systems,2010:1.
[5]Ji Peng-fei, Qi Jian-dong, Zhu Wen-fei.Application of improved artificial fish swarm algorithm in Hadoop scheduling algorithm[J].Application Research of Computers,2014,31(12):3572-3575.(in Chinese)
[6]Liang Jing, Xu Bo, Ge Yu. Map-Reduce job scheduling algorithm based on improved shuffled frog leaping strategy[J].Application Research of Computers,2013,30(7):1999-2002.(in Chinese)
[7]Zhang Q,Zhani M F,Yang Y,et al.PRISM: Fine-grained resource-aware scheduling for MapReduce[J].IEEE Transactions on Cloud Computing,2015,3(2):1.
[8]Mude R G, Betta A, Debbarma A. Capturing node resource status and classifying workload for map reduce resource aware scheduler[M]∥Intelligent Computing,Communication and Devices.India:Springer,2015:247-257.
[9]Hu W,Tian C,Liu X,et al.Multiple-job optimization in MapReduce for heterogeneous workloads[C]∥Proc of the 6th International Conference on Semantics Knowledge and Grid.2010:135-140.
[10]Zhang Hai-yan, Wu Fan, Wang Jian-xin. Research of Hadoop resource-aware scheduler based on ant colony algorithm[J].Computer Engineering and Applications,2014,50(15):65-71.(in Chinese)
[11]Xu Xiao-fei,Liu Zhi-zhong,Wang Zhong-jie,et al.S-ABC—Service domain-oriented artificial bee colony algorithm paradigm[J].Chinese Journal of Computers,2015,38(11):2301-2317.(in Chinese)
[12]Karaboga N.A new design method based on artificial bee colony algorithm for digital IIR filters[J].Journal of the Franklin Institute,2009,346(4):328-348.
[13]Bi Xiao-jun, Wang Yan-jiao. Artificial bee colony algorithm with fast convergence[J].Systems Engineering & Electronics,2011,33(12):2755-2761.(in Chinese)
附中文参考文献:
[1]夏祎.Hadoop平台下的作业调度算法研究与改进[D].广州:华南理工大学,2010.
[2]李成华,张新访,金海,等.MapReduce:新型的分布式并行计算编程模型[J].计算机工程与科学,2011,33(3):129-135.
[5]吉鹏飞,齐建东,朱文飞.改进人工鱼群算法在Hadoop作业调度算法的应用[J].计算机应用研究,2014,31(12):3572-3575.
[6]梁静,许波,葛宇.基于改进蛙跳策略的Map-Reduce作业调度算法[J].计算机应用研究,2013,30(7):1999-2002.
[10]张海燕,吴凡,王建新.基于蚁群算法的Hadoop资源感知调度器研究[J].计算机工程与应用,2014,50(15):65-71.
[11]徐晓飞,刘志中,王忠杰,等.S-ABC--面向服务领域的人工蜂群算法范型[J].计算机学报,2015,38(11):2301-2317.
[13]毕晓君,王艳娇.加速收敛的人工蜂群算法[J].系统工程与电子技术,2011,33(12): 2755-2761. |