基于包簇概念的云资源分配成本优化模型

doi:10.16180/j.cnki.issn1007-7820.2019.03.007

Abstract

Abstract:

To resolve the high cost in cloud computing data center caused by traditional resource management, a cost optimization model for cloud resource allocation based on packet-cluster was proposed. The model abstracted the specific needs of the users into individual requirements packages and integrated various resources of data center into resource clusters. Through the improved particle swarm algorithm based on the concept of package clustering, the deployment mapping of demand packages to resource clusters were finally implemented. The experimental results showed that the model was not only effective to reduce operating costs in resource allocation process but also improved the resource utilization of physical servers.

Key words: cloud computing, data center, resource allocation, VM, package cluster, particle swarm optimization

CLC Number:

TP391

LÜ Tengfei,CHEN Shiping,WANG Lei. Cost Optimization Model for Cloud Resource Allocation Based on Packet Cluster[J].Electronic Science and Technology, 2019, 32(3): 31-36.

Figures/Tables 5

References 16

[1]	Armbrust M, Fox A, Uriffith R , et al. A view of cloud computing[J]. Communications of the ACM, 2010,53(4):50-58.
[2]	李乔, 郑啸 . 云计算研究现状综述[J]. 计算机科学, 2011,38(4):32-37.
	Li Qiao, Zheng Xiao . Research survey of cloud computing[J]. Computer Science, 2011,38(4):32-37.
[3]	Zhou Fangfei, Goel M, Desnoyers P , et al. Scheduler vulnerabilities and coordinated attacks in cloud computing[J]. Journal of Computer Security, 2013,21(4):533-559. doi: 10.1109/NCA.2011.24
[4]	Uarg S K, Versteeg S, Buyya R . A framework for ranking of cloud computing services[J]. Future Veneration Computer Systems, 2013,29(4):1012-1203.
[5]	华夏渝, 郑骏, 胡文心 . 基于云计算环境的蚁群优化计算资源分配算法[J].华东师范大学学报:自然科学版, 2010(1):127-134.
	Hua Xiayu, Zheng Jun, Hu Wenxin . Ant colony optimization algorithm for computing resource allocation based on cloud computing environment [J].Journal of East China Normal University:Natural Science, 2010(1):127-134.
[6]	卢浩洋, 陈世平 . 基于包簇映射的云计算资源分配框架[J]. 计算机应用, 2016,36(10):2704-2709.
	Lu Haoyang, Chen Shiping . Resource allocation framework based on cloud computing package cluster mapping[J]. Journal of Computer Applications, 2016,36(10):2704-2709.
[7]	林天高, 马景奕 . 基于绿色云计算的能耗优化与资源分配研究[J]. 软件导刊, 2016,15(5):7-9.
	Lin Tiangao, Ma Jingyi . Study on energy consumption optimization and resource allocation in green cloud computing[J]. Software Guide, 2016,15(5):7-9.
[8]	Al-Ayyoub M, Jararweh Y, Daraghmeh M , et al. Multi-agent based dynamic resource provisioning and monitoring for cloud computing systems infrastructure[J]. Cluster Computing, 2015,18(2):919-932. doi: 10.1007/s10586-015-0449-5
[9]	Tawfeek M A, Elsisi A, Keshk A E , et al. Cloud task scheduling based on ant colony optimization[C].Cairo:Proeeding of 8 ^th International Conferance on Computer Engineering & Systems(ICCES), 2013.
[10]	Duan W J, Fu X L, Wang F . QoS constraints task scheduling based on genetic algorithm and ant colony algorithm under cloud computing environment[J].Journal of Computer Application, 2014(2):66-69.
[11]	方晓平, 陈年生, 郭宇 . 云计算资源分配策略研究[J]. 湖北师范学院报:自然科学版, 2013,33(4):56-61.
	Fang Xiaoping, Chen Niansheng, Guo Yu . The research on resources allocation strategy in cloud computing[J]. Journal of Hubei Normal University:Natural Science, 2013,33(44):56-61.
[12]	Ian Foster, Zhao Yong, Ioan Raicu, et al. Cloud computing and grid computing 360° compared [C]. Beijing:IEEE International Conference, 2008.
[13]	Kwok Y K, Ahmad I . Static scheduling algorithms for allocating directed task graphs to multiprocessors[J]. ACM Computer Surveys, 1999,31(4):406-471. doi: 10.1145/344588.344618
[14]	Kennedy J, Eberhart R C. Particle swarm optimization [C].Washington D C:Proceeding of IEEE International Conference on Neural Networks, 1995.
[15]	Calheiros R N, Ranjan R, Beloglazov A , et al. Cloud-Sim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms[J]. Software Practice & Experience, 2010,41(1):23-50. doi: 10.1002/spe.995
[16]	曲志坚, 张先伟, 曹雁锋 , 等. 基于自适应机制的遗传算法研究[J]. 计算机应用研究, 2015,32(11):3222-3225.
	Qu Zhijian, Zhang Xianwei, Cao Yanfeng , et al. Research on genetic algorithm based on adaptive mechanism[J]. Application Research of Computers, 2015,32(11):3222-3225.

虚拟机数目	CPU平均利用率/%		RAM平均利用率/%
虚拟机数目	IPSOPC	IMOPC	IPSOPC	IMOPC
50	52.6	56.3	52.8	45.1
100	54.7	46.4	54.3	55.9
150	53.9	54.3	53.1	56.8
200	52.8	52.2	52.4	44.3
250	51.5	45.1	52.2	56.8
300	52.3	55.5	52.6	50.9
350	53.8	50.8	50.9	45.9
400	51.4	55.7	53.1	55.7
450	52.8	44.3	52.8	48.6
500	53.4	56.6	52.8	52.3

Cost Optimization Model for Cloud Resource Allocation Based on Packet Cluster

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 5

References 16

Related Articles 15

Metrics

Comments

Recommended 0

[1]	FENG Xianding,WEI Jingtao,WU Zhangyong,QIAN Jie,PU Youshang. Research on Load Forecast of Ball Mill Based on PCA-PSO-SVM [J]. Electronic Science and Technology, 2022, 35(1): 29-34.
[2]	WANG Yang,WANG Xiaolei,YUAN Ziang,YUAN Ruming. A Matrix Multiplication Mapping Technology Based on NOC Multi-Core System [J]. Electronic Science and Technology, 2021, 34(5): 54-60.
[3]	ZHU Chengming,WEI Yunbing,JIANG Chengcheng,ZHU Jian'an. Estimation Model of Wind Power Reserve Capacity Based on PSO-BP Neural Network [J]. Electronic Science and Technology, 2021, 34(12): 36-41.
[4]	PENG Rongjie,PENG Yaxiong,LU Anjiang. Face Recognition System Based on Improved PCA+SVM [J]. Electronic Science and Technology, 2021, 34(12): 56-61.
[5]	ZHANG Zechen,JU Zhiyong. Multi-feature Fusion Fruit and Vegetable Image Classification Based on Bag of Feature Model [J]. Electronic Science and Technology, 2020, 33(7): 41-45.
[6]	WU Qiang,ZHANG Wei,YANG Huiting,WANG Chaoying. Application of Particle Swarm Optimization Based on Beetle Antennae Search Algorithm in PID Parameter Tuning [J]. Electronic Science and Technology, 2020, 33(6): 18-23.
[7]	WAN Dongyan,XU Zhenying,YANG Qing,WU Mengqi. A Method of Weld Defect Classification Based on PCA and SVM [J]. Electronic Science and Technology, 2020, 33(5): 9-14.
[8]	CHEN Lei,LI Feifei,CHEN Qiu. Multi-label Image Annotation Algorithm Based on Transfer Learning and Weighted Ranking Support Vector Machine [J]. Electronic Science and Technology, 2020, 33(3): 12-16.
[9]	MIAO Ran,LI Feifei,CHEN Qiu. Scene Recognition Algorithm Based on Convolutional Neural Networks and Multi-Scale space Encoding [J]. Electronic Science and Technology, 2020, 33(12): 54-58.
[10]	LAN Jiman. Design of Data Mining System Based on Cloud Computing [J]. Electronic Science and Technology, 2019, 32(8): 70-74.
[11]	YE Zi,LI Ruofan. Malicious Code Detection and Protection Technology of Mobile Phone Based on Android [J]. Electronic Science and Technology, 2019, 32(6): 54-57.
[12]	LAN Jiman. Particle Swarm Optimization Surface Defect Recognition Algorithm Based on Radial Basis Neural Network [J]. Electronic Science and Technology, 2019, 32(5): 92-95.
[13]	ZHU Wangchun,CHENG Hao,GAO Haiying. Adaptive Acoustic Emission Noise Elimination and Bearing Fault Diagnosis [J]. Electronic Science and Technology, 2019, 32(4): 16-20.
[14]	ZHOU Zhu,GAN Yi,SUN Fujia. Research of Face Recognition Method Based on Gabor and SIFT Features [J]. Electronic Science and Technology, 2019, 32(4): 1-5.
[15]	YAN Maosen,CHEN Jiaqi. A Multi-environmental Traffic Sign Recognition Model [J]. Electronic Science and Technology, 2019, 32(4): 68-72.