Dynamic Service Provisioning and Selection for Satisfying Cloud Applications and Cloud Providers in Hybrid Cloud

被引:3
作者
Xu Lijun [1 ,2 ,3 ]
Li Chunlin [1 ,3 ]
机构
[1] Wuhan Univ Technol, Dept Comp Sci, Wuhan 430063, Hubei, Peoples R China
[2] Xinxiang Univ, Sch Comp & Informat Engn, Xinxiang, Peoples R China
[3] Soochow Univ, Prov Key Lab Comp Informat Proc Technol, Suzhou 215000, Peoples R China
关键词
Hybrid cloud; service provisioning and selection; public cloud; cloud data center;
D O I
10.1142/S0218843017500058
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper presents a hybrid cloud service provisioning and selection optimization scheme, and proposes a hybrid cloud model which consists of hybrid cloud users, private cloud and public cloud. This scheme aims to effectively provide cloud service and allocate cloud resources, such that the system utility can be maximized subject to public cloud resource constraints and hybrid cloud users constraints. The paper makes use of a utility-driven approach to solve interaction among private cloud user, hybrid cloud service provider and public cloud provider in hybrid cloud environment. The paper presents hybrid cloud service provisioning and selection algorithm in hybrid cloud. The hybrid cloud market consists of hybrid cloud user agent, hybrid cloud service agent and hybrid cloud agent, which represent the interests of different roles. The experiments are designed to compare the performance of proposed algorithm with the other related work.
引用
收藏
页数:25
相关论文
共 26 条
[1]  
[Anonymous], 2012, 2012 5th ieee international conference on service-oriented computing and applications (soca) (p
[2]  
Apostol E., 2012, 2012 Third International Conference on Emerging Intelligent Data and Web Technologies (EIDWT 2012), P326, DOI 10.1109/EIDWT.2012.60
[3]  
Bittencourt Luiz F., 2010, 6th International Conference on Network and Service Management (CNSM 2010), P394, DOI 10.1109/CNSM.2010.5691241
[4]   A Framework for Controlling and Managing Hybrid Cloud Service Integration [J].
Breiter, Gerd ;
Naik, Vijay K. .
PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E 2013), 2013, :217-224
[5]  
Calheiros R.N., 2012, Web Information Systems Engineering-WISE 2012, P171, DOI DOI 10.1007/978-3-642-35063-4_13
[6]  
Chang YH, 2013, LECT NOTES COMPUT SC, V7802, P61, DOI 10.1007/978-3-642-36546-1_7
[7]  
Grewal R.K., 2013, New Paradigms in Internet Computing, P41
[8]   Optimizing energy consumption with task consolidation in clouds [J].
Hsu, Ching-Hsien ;
Slagter, Kenn D. ;
Chen, Shih-Chang ;
Chung, Yeh-Ching .
INFORMATION SCIENCES, 2014, 258 :452-462
[9]  
Kasae Y., 2013, P 7 INT C UB INF MAN, P5
[10]  
Kaviani N., 2012, 2012 IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom). Proceedings, P333, DOI 10.1109/CloudCom.2012.6427541