[1]吴俊伟,姜春茂.负载敏感的云任务三支聚类评分调度研究[J].智能系统学报,2019,14(2):316-322.[doi:10.11992/tis.201710004]
 WU Junwei,JIANG Chunmao.Load-aware score scheduling of three-way clustering for cloud task[J].CAAI Transactions on Intelligent Systems,2019,14(2):316-322.[doi:10.11992/tis.201710004]
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负载敏感的云任务三支聚类评分调度研究

参考文献/References:
[1] BOHRER P, ELNOZAHY E N, KELLER T, et al. The case for power management in web servers[M]//GRAYBILL R, MELHEM R. Power Aware Computing. Boston, MA, USA:Springer, 2002:261-289.
[2] BARROSO L A, H?LZLE U. The case for energy-proportional computing[J]. Computer, 2007, 40(12):33-37.
[3] REISS C, TUMANOV A, GANGER G R, et al. Heterogeneity and dynamicity of clouds at scale:Google trace analysis[C]//Proceedings of the third ACM Symposium on Cloud Computing. New York, NY, USA, 2012:1-13.
[4] LIU Zitao, CHO S. Characterizing machines and workloads on a Google cluster[C]//Proceedings of 201241st International Conference on Parallel Processing Workshops. Pittsburgh, PA, USA, 2012:397-403.
[5] 左利云. 云计算中基于任务特性和资源约束的调度方法研究[D]. 广州:华南理工大学, 2016:1-139. ZUO Liyun. The scheduling methods based on the task features and resource constraints in cloud computing[D]. Guangzhou, China:South China University of Technology, 2016:1-139.
[6] 刘家志. 模糊C-均值算法在任务调度问题上的应用[C]//第十届中国通信学会学术年会论文集. 沈阳, 中国, 2014:310-313. LIU Jiazhi. Application of fuzzy c-means algorithm in task scheduling problem[C]//A Collection of Academic Annual Meetings of the Tenth China Communications Society. Shenyang, China, 2014:310-313.
[7] 封良良, 夏晓燕, 贾振红, 等. 实验基于资源预先分类的云计算任务调度算法[J]. 计算机仿真, 2013, 30(10):363-367, 410 FENG Liangliang, XIA Xiaoyan, JIA Zhenhong, et al. Task scheduling algorithm based on improved particle swarm optimization algorithm in cloud computing environment[J]. Computer simulation, 2013, 30(10):363-367, 410
[8] 张以利, 杨万扣. 云环境下基于任务分类和LPM优化模型的调度算法[J]. 微型电脑应用, 2013, 29(10):5-8 ZHANG Yili, YANG Wankou. Scheduling algorithm based on task classifying and linear pogramming model in a cloud environment[J]. Microcomputer application, 2013, 29(10):5-8
[9] 陈晶晶. 云环境下基于非均匀粒度分类的任务调度算法研究[D].南京:南京邮电大学, 2015:1-59. CHEN Jingjing. Research on task scheduling algorithm based on non-uniform granularity classification in cloud environment[D]. Nanjing, China:Nanjing University of Posts and Telecommunications, 2015:1-59.
[10] 高正九, 郑烇, 辛波, 等. 基于任务分类的延迟调度算法[J]. 计算机系统应用, 2014, 23(9):139-143 GAO Zhengjiu, ZHENG Quan, XIN Bo, et al. Delay scheduling algorithm based on task classification[J]. Computer systemsand & applications, 2014, 23(9):139-143
[11] YAO Yiyu. The superiority of three-way decisions in probabilistic rough set models[J]. Information sciences, 2011, 181(6):1080-1096.
[12] YAO Yiyu. Three-way decisions with probabilistic rough sets[J]. Information sciences, 2010, 180(3):341-353.
[13] YAO Yiyu. Three-way decision:an interpretation of rules in rough set theory[C]//Proceeding of the 4th International Conference Rough Sets and Knowledge Technology. Gold Coast, Australia, 2009:642-649.
[14] ZHOU Bing, YAO Yiyu, LUO Jigang. Cost-sensitive three-way email spam filtering[J]. Journal of intelligent information systems, 2014, 42(1):19-45.
[15] ZHANG Hengru, MIN Fan, HE Xu, et al. A hybrid recommender system based on user-recommender interaction[J]. Mathematical problems in engineering, 2015, 2015:145636.
[16] YAO Jingtao, AZAM Nouman. Web-based medical decision support systems for three-way medical decision making with game-theoretic rough sets[J]. IEEE transactions on fuzzy systems, 2015, 23(1):3-15.
[17] QIAN Yuhua, ZHANG Hu, SANG Yanli, et al. Multigranulation decision-theoretic rough sets[J]. International journal of approximate reasoning, 2014, 55(1):225-237.
[18] LI Huaxiong, ZHOU Xianzhong, HUANG Bing, et al. Cost-sensitive three-way decision:a sequential strategy[M]//LINGRAS P, WOLSKI M, CORNELIS C, et al. Rough Sets and Knowledge Technology. Berlin, Germany:Springer, 2013:325-337.
[19] LIU Dun, LI Tianrui, LIANG Decui. Three-way decisions in dynamic decision-theoretic rough sets[M]//LINGRAS P, WOLSKI M, CORNELIS C, et al. Rough Sets and Knowledge Technology. Berlin, Germany:Springer, 2013:291-301.
[20] SHE Yanhong. On determination of thresholds in three-way approximation of many-valued nm-logic[M]//CORNELIS C, KRYSZKIEWICZ M, ?L?ZAK D, et al. Rough sets and Current Trends in Computing. Cham, Germany:Springer, 2014:136-143.
[21] 于洪. 三支聚类分析[J]. 数码设计, 2016, 5(1):31-35, 30 YU Hong. Three-way cluster analysis[J]. Peak data science, 2016, 5(1):31-35, 30
[22] 于洪, 毛传凯. 基于k-means的自动三支决策聚类方法[J]. 计算机应用, 2016, 36(8):2061-2065, 2091 YU Hong, MAO Chuankai. Automatic three-way decision clustering algorithm based on k-means[J]. Journal of computer applications, 2016, 36(8):2061-2065, 2091
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备注/Memo

收稿日期:2017-10-10。
基金项目:中国博士后面上基金项目(2014M561330).
作者简介:吴俊伟,男,1993年生,硕士研究生,主要研究方向为云计算。;姜春茂,男,1972年生,教授,硕士生导师,主要研究方向为云计算、嵌入式计算和大数据。主持省部级以上科研项目3项,厅局级项目5项,省级教改项目2项。发表SCI、EI检索文章30余篇。
通讯作者:吴俊伟.E-mail:1344845860@qq.com

更新日期/Last Update: 2019-04-25
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