Journal of Computer Applications ›› 2018, Vol. 38 ›› Issue (2): 550-556.DOI: 10.11772/j.issn.1001-9081.2017061588
Previous Articles Next Articles
YU Xinrong1, LI Zhihua1,2, YAN Chengyu1, LI Shuangli1
Received:2017-06-27
Revised:2017-08-22
Online:2018-02-10
Published:2018-02-10
Supported by:喻新荣1, 李志华1,2, 闫成雨1, 李双俐1
通讯作者:
李志华
作者简介:喻新荣(1992-),男,江苏南通人,硕士研究生,CCF会员,主要研究方向:云计算、并行计算、分布式计算;李志华(1969-),男,湖南保靖人,副教授,博士,主要研究方向:网络技术、信息安全、数据挖掘;闫成雨(1992-),男,江苏徐州人,硕士,主要研究方向:云计算、网格与分布式计算;李双俐(1992-),女,河南新乡人,硕士研究生,主要研究方向:云计算、分布式计算。
基金资助:CLC Number:
YU Xinrong, LI Zhihua, YAN Chengyu, LI Shuangli. High efficient virtual machines consolidation method in cloud data center[J]. Journal of Computer Applications, 2018, 38(2): 550-556.
喻新荣, 李志华, 闫成雨, 李双俐. 云数据中心高效的虚拟机整合方法[J]. 计算机应用, 2018, 38(2): 550-556.
| [1] GOSCINSKI A, BROCK M. Toward dynamic and attribute based publication, discovery and selection for cloud computing[J]. Future Generation Computer Systems, 2010, 26(7):947-970. [2] MOSA A, PATON N W. Optimizing virtual machine placement for energy and SLA in clouds using utility functions[J]. Journal of Cloud Computing, 2016, 5(1):17. [3] FAN X B, WEBER W D, BARROSO L A. Power provisioning for a warehouse-sized computer[C]//Proceedings of the 34th Annual International Symposium on Computer Architecture. New York:ACM, 2007:13-23. [4] 房丙午,黄志球.云计算中能耗和性能感知的虚拟机优化部署算法[J].计算机工程与科学,2016,38(12):2419-2424. (FANG B W, HUANG Z Q. An energy-and-performance-aware virtual machine placement optimization algorithm in cloud computing[J]. Journal of Computer Engineering & Science, 2016, 38(12):2419-2424.) [5] 刘德欣,闫永明,郭军,等.云环境下基于多目标决策的待整合服务器选择方法研究[J].小型微型计算机系统,2016,37(4):699-704. (LIU D X, YAN Y M, GUO J, et al. Method of selecting consolidating server in cloud environment based on multi-objective decision[J]. Journal of Chinese Computer Systems, 2016, 37(4):699-704.) [6] MANN Z Á. Rigorous results on the effectiveness of some heuristics for the consolidation of virtual machines in a cloud data center[J]. Future Generation Computer Systems, 2015, 51:1-6. [7] BELOGLAZOV A, ABAWAJY J, BUYYA R. Energy-aware re-source allocation heuristics for efficient management of data centers for cloud computing[J]. Future Generation Computer Systems, 2012, 28(5):755-768. [8] BELOGLAZOV A, BUYYA R. Optimal online deterministic algo-rithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers[J]. Concurrency and Computation:Practice and Experience, 2012, 24(13):1397-1420. [9] CAO J, WU Y H, LI M L. Energy efficient allocation of virtual machines in cloud computing environments based on demand forecast[J]. Advances in Grid and Pervasive Computing, 2012, 7296:137-151. [10] FARAHNAKIAN F, LILJEBERG P, PLOSILA J. LiRCUP:linear regression based CPU usage prediction algorithm for live migration of virtual machines in data centers[C]//Proceedings of the 39th EUROMICRO Conference on Software Engineering and Advanced Applications. Washington, DC:IEEE Computer Society, 2013:357-364. [11] YU L, CHEN L, CAI Z, et al. Stochastic load balancing for virtual resource management in datacenters[J]. IEEE Transactions on Cloud Computing, 2016, PP(99):1-1. [12] CHEN M, ZHANG H, SU Y Y, et al. Effective VM sizing in virtualized data centers[C]//Proceedings of the 2011 IFIP/IEEE International Symposium on Integrated Network Management. Piscataway, NJ:IEEE, 2011:594-601. [13] JIN H, PAN D, XU J, et al. Efficient VM placement with multiple deterministic and stochastic resources in data centers[C]//Proceedings of the 2012 IEEE Global Communications Conference. Piscataway, NJ:IEEE, 2012:2505-2510. [14] WANG M, MENG X, ZHANG L. Consolidating virtual machines with dynamic bandwidth demand in data centers[C]//INFOCOM 2011:Proceedings of the 30th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies. Piscataway, NJ:IEEE, 2011:71-75. [15] STAUFFER C, GRIMSON W E L. Adaptive background mixture models for real-time tracking[C]//Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 1999:246-252. [16] CALHEIROS R N, RANJAN R, BELOGLAZOV A, et al. CloudSim:a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms[J]. Software Practice & Experience, 2011, 41(1):23-50. |
| [1] | Xing WANG, Guijuan LIU, Zhihao CHEN. Fake review detection algorithm combining Gaussian mixture model and text graph convolutional network [J]. Journal of Computer Applications, 2024, 44(2): 360-368. |
| [2] | Jiaxing LU, Hua DAI, Yuanlong LIU, Qian ZHOU, Geng YANG. Dictionary partition vector space model for ciphertext ranked search in cloud environment [J]. Journal of Computer Applications, 2023, 43(7): 1994-2000. |
| [3] | Yumei CHEN, Hongchao HU, Yawen WANG. Quality of service and loss evaluation method for multi-variant system [J]. Journal of Computer Applications, 2023, 43(3): 876-884. |
| [4] | Kun YOU, Qinhui WANG, Xin LI. General multi-unit false-name-proof auction mechanism for cloud computing [J]. Journal of Computer Applications, 2023, 43(11): 3351-3357. |
| [5] | WU Renbiao, ZHANG Zhenchi, JIA Yunfei, QIAO Han. Adaptive scheduling strategy based on deadline under cloud platform [J]. Journal of Computer Applications, 2023, 43(1): 176-184. |
| [6] | Jingyu SUN, Jiayu ZHU, Ziqiang TIAN, Guozhen SHI, Chuanjiang GUAN. Attribute based encryption scheme based on elliptic curve cryptography and supporting revocation [J]. Journal of Computer Applications, 2022, 42(7): 2094-2103. |
| [7] | Jinquan ZHANG, Shouwei XU, Xincheng LI, Chongyang WANG, Jingzhi XU. Cloud computing task scheduling based on orthogonal adaptive whale optimization [J]. Journal of Computer Applications, 2022, 42(5): 1516-1523. |
| [8] | Xuemin XU, Xiuguo ZHANG, Yuanyuan XIAO, Zhiying CAO. Large-scale Web service composition based on optimized grey wolf optimizer [J]. Journal of Computer Applications, 2022, 42(10): 3162-3169. |
| [9] | ZHOU Shuo, QIU Runhe, TANG Minjun. Power allocation algorithm for CR-NOMA system based on tabu search and Q-learning [J]. Journal of Computer Applications, 2021, 41(7): 2026-2032. |
| [10] | CHEN Jiahao, YIN Xinchun. Traceable and revocable ciphertext-policy attribute-based encryption scheme based on cloud-fog computing [J]. Journal of Computer Applications, 2021, 41(6): 1611-1620. |
| [11] | GE Lina, HU Yugu, ZHANG Guifen, CHEN Yuanyuan. Reverse hybrid access control scheme based on object attribute matching in cloud computing environment [J]. Journal of Computer Applications, 2021, 41(6): 1604-1610. |
| [12] | YANG Ling, JIANG Chunmao. Strategy of energy-aware virtual machine migration based on three-way decision [J]. Journal of Computer Applications, 2021, 41(4): 990-998. |
| [13] | Shuicong LIAO, Peng SUN, Xingchen LIU, Yun ZHONG. Service composition optimization based on improved krill herd algorithm [J]. Journal of Computer Applications, 2021, 41(12): 3652-3657. |
| [14] | Ying LEI, Wanbo ZHENG, Wei WEI, Yunni XIA, Xiaobo LI, Chengwu LIU, Hong XIE. Task offloading method based on probabilistic performance awareness and evolutionary game strategy in “cloud + edge” hybrid environment [J]. Journal of Computer Applications, 2021, 41(11): 3302-3308. |
| [15] | Xiaoling SUN, Guang YANG, Yanping SHEN, Qiuge YANG, Tao CHEN. Searchable encryption scheme based on splittable inverted index [J]. Journal of Computer Applications, 2021, 41(11): 3288-3294. |
| Viewed | ||||||
|
Full text 182
|
|
|||||
|
Abstract 317
|
|
|||||
