[1] AMIN R, KUMAR N, BISWAS G P, et al. A light weight authentication protocol for IoT-enabled devices in distributed cloud computing environment[J]. Future Generation Computer Systems, 2018,78(Pt 3):1005-1019. [2] ARMBRUST M, FOX A, GRIFFITH R M, et al. Above the clouds:a Berkeley view of cloud computing,UCB/EECS-2009-28[R/OL]. Berkeley:University of California at Berkeley[2020-06-24]. https://www2.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf. [3] DAYARATHNA M, WEN Y, FAN R. Data center energy consumption modeling:a survey[J]. IEEE Communications Surveys and Tutorials,2016,18(1):732-794. [4] MASTELIC T, OLEKSIAK A, CLAUSSEN H, et al. Cloud computing:survey on energy efficiency[J]. ACM Computing Surveys,2015,47(2):No. 33. [5] HSU C H, CHEN S C, LEE C C, et al. Energy-aware task consolidation technique for cloud computing[C]//Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science. Piscataway:IEEE,2011:115-121. [6] PRODAN R, OSTERMANN S. A survey and taxonomy of infrastructure as a service and Web hosting cloud providers[C]//Proceedings of the 10th IEEE/ACM International Conference on Grid Computing. Piscataway:IEEE,2009:17-25. [7] JIN H,DENG L,WU S,et al. MECOM:live migration of virtual machines by adaptively compressing memory pages[J]. Future Generation Computer Systems,2014,38:23-35. [8] ZHAO D,ZHOU J,LI K. An energy-aware algorithm for virtual machine placement in cloud computing[J]. IEEE Access,2019, 7:55659-55668. [9] XU H,LIU Y,WEI W,et al. Migration cost and energy-aware virtual machine consolidation under cloud environments considering remaining runtime[J]. International Journal of Parallel Programming,2019,47(3):481-501. [10] 穆瑞辉. 一种改进的基于云计算的在线迁移算法[J]. 郑州轻工业学院学报(自然科学版),2015,30(3/4):86-89.(MU R H. An improvement online migration algorithm based on cloud computing[J]. Journal of Zhengzhou University of Light Industry (Natural Science),2015,30(3/4):86-89.) [11] 吴小东, 韩建军. 云数据中心基于阈值的虚拟机迁移节能调度算法[J]. 华中科技大学学报(自然科学版),2018,46(9):30-34.(WU X D,HAN J J. Threshold-based energy-efficient VM scheduling in cloud datacenters[J]. Journal of Huazhong University of Science and Technology(Natural Science Edition), 2018,46(9):30-34.) [12] 阮顺领, 卢才武, 邢雪. 面向数据中心能效优化的虚拟机迁移调度方法[J]. 计算机应用与软件,2016,33(1):11-15.(RUAN S L,LU C W,XING X. Virtual machine migration scheduling method optimising energy-efficiency of data center[J]. Computer Applications and Software,2016,33(1):11-15.) [13] TIAN W,ZHAO Y,ZHONG Y,et al. Dynamic and integrated load-balancing scheduling algorithm for cloud data centers[J]. China Communications,2011,8(6):117-126. [14] 黎红友, 王江勇, 彭舰, 等. 云数据中心基于异构工作负载的负载均衡调度方案[J]. 四川大学学报(工程科学版),2013,45(S1):112-117.(LI H Y,WANG J Y,PENG J,et al. A loadbalancing scheduling scheme based on heterogeneous workloads in cloud data centers[J]. Journal of Sichuan University(Engineering Science Edition),2013,45(S1):112-117.) [15] 施伟, 刘镇. 基于虚拟机迁移的云计算中心节能调度算法[J]. 计算机与数字工程,2018,46(1):39-41,203.(SHI W,LIU Z. Virtual machine migration algorithm to reduce energy consumption in datacenter[J]. Computer and Digital Engineering, 2018,46(1):39-41,203.) [16] YAO Y. Three-way decisions with probabilistic rough sets[J]. Information Sciences,2010,180(3):341-353. [17] YAO Y. Three-way decisions and cognitive computing[J]. Cognitive Computation,2016,8(4):543-554. [18] FUJITA H,LI T,YAO Y. Advances in three-way decisions and granular computing[J]. Knowledge-Based Systems,2016,91:1-3. [19] YAO Y. Interpreting concept learning in cognitive informatics and granular computing[J]. IEEE Transactions on Systems,Man,and Cybernetics,Part B(Cybernetics),2009,39(4):855-866. [20] JIANG C,YAO Y. Effectiveness measures in movement-based three-way decisions[J]. Knowledge-Based Systems,2018,160:136-143. [21] GAO C,YAO Y. Actionable strategies in three-way decisions[J]. Knowledge-Based Systems,2017,133:141-155. [22] YAO J,AZAM N. 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. [23] ZHOU B,YAO Y,LUO J. Cost-sensitive three-way email spam filtering[J]. Journal of Intelligent Information Sciences,2014,42(1):19-45. [24] 张里博, 李华雄, 周献中, 等. 人脸识别中的多粒度代价敏感三支决策[J]. 山东大学学报(理学版),2014,49(8):48-57. (ZHANG L B,LI H X,ZHOU X Z,et al. Multi-granularity costsensitive three-way decision for face recognition[J]. Journal of Shandong University(Natural Science),2014,49(8):48-57.) [25] LIU D,LI T,LIANG D. Three-way government decision analysis with decision-theoretic rough sets[J]. International Journal of Uncertainty,Fuzziness and Knowledge-Based Systems,2012,20(S1):119-132. [26] 徐媛媛, 张恒汝, 闵帆, 等. 三支交互推荐[J]. 南京大学学报(自然科学),2019,55(6):973-983.(XU Y Y,ZHANG H R,MIN F,et al. Three-way interactive recommendation[J]. Journal of Nanjing University(Natural Sciences),2019,55(6):973-983.) [27] JIANG C,LI Y,LI Z. Energy optimization oriented three-way clustering algorithm for cloud tasks[J]. Journal of Beijing Institute of Technology,2018,27(2):189-197. [28] JIANG C M,LI Y B,LI Z C. Review of the research on the optimization of the energy consumption of the cloud platform[J]. International Journal of Smart Home,2016,10(8):241-250. [29] 郭豆豆, 姜春茂. 基于M-3WD的多阶段区域转化策略研究[J]. 计算机科学,2019,46(10):279-285.(GUO D D,JIANG C M. Multi-stage regional transformation strategy in move-based threeway decisions model[J]. Computer Science,2019,46(10):279-285.) [30] JIANG C,GUO D,DUAN Y,et al. Strategy selection under entropy measures in movement-based three-way decision[J]. International Journal of Approximate Reasoning, 2020, 119:280-291. [31] 姜春茂, 王凯旋. 基于三支队列的实时云任务节能调度算法[J]. 郑州大学学报(理学版),2019,51(2):66-71.(JIANG C M,WANG K X. Real-time cloud tasks schedule algorithm for saving energy based on tri-queue system[J]. Journal of Zhengzhou University(Natural Science Edition),2019,51(2):66-71.) [32] 徐晓霞, 姜春茂, 黄春梅. 一种基于三支决策的移动云任务节能卸载方法[J]. 南京理工大学学报(自然科学版),2019,43(4):447-454.(XU X X,JIANG C M,HUANG C M. A method of energy-aware mobile cloud tasks offloading based on three-way decision[J]. Journal of Nanjing University of Science and Technology,2019,43(4):447-454.) [33] 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.(WU J W,JIANG C M. Load-aware score scheduling of three-way clustering for cloud task[J]. CAAI Transactions on Intelligent Systems,2019, 14(2):316-322.) [34] DI S, CAPPELLO F. GloudSim:Google trace-based cloud simulator with virtual machines[J]. Software:Practice and Experience,2015,45(11):1571-1590. |