›› 2017, Vol. 32 ›› Issue (2): 211-218.doi: 10.1007/s11390-017-1715-1

Special Issue: Computer Architecture and Systems

• Special Section on MOST Cloud and Big Data •     Next Articles

Providing Virtual Cloud for Special Purposes on Demand in JointCloud Computing Environment

Dong-Gang Cao1, Member, CCF, IEEE, Bo An1,*, Pei-Chang Shi2, Member, CCF, Huai-Min Wang2, Member, CCF, IEEE   

  1. 1 Key Laboratory of High Confidence Software Technologies(Peking University), Ministry of Education Beijing 100871, China;
    2 National Key Laboratory for Parallel and Distributed Processing, National University of Defense and Technology Changsha 410073, China
  • Received:2016-11-02 Revised:2016-12-20 Online:2017-03-05 Published:2017-03-05
  • Contact: Bo An E-mail:anbo@pku.edu.cn
  • About author:Dong-Gang Cao is an associate professor at Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing. He received his Ph.D. degree in computer software and theory from School of Electronics Engineering and Computer Science, Peking University, Beijing, in 2004. His research interests include system software, parallel and distributed computing.
  • Supported by:

    This work is supported by the National Key Research and Development Program of China under Grant No. 2016YFB1000105 and the National Natural Science Foundation of China under Grant Nos. 61272154 and 61421091.

Cloud computing has been widely adopted by enterprises because of its on-demand and elastic resource usage paradigm. Currently most cloud applications are running on one single cloud. However, more and more applications demand to run across several clouds to satisfy the requirements like best cost efficiency, avoidance of vender lock-in, and geolocation sensitive service. JointCloud computing is a new research initiated by Chinese institutes to address the computing issues concerned with multiple clouds. In JointCloud, users' diverse and dynamic requirements on cloud resources are satisfied by providing users virtual cloud (VC) for special purposes. A virtual cloud for special purposes is in essence a user's specific cloud working environment having the customized software stacks, configurations and computing resources readily available. This paper first introduces what is JointCloud computing and then describes the design rationales, motivation examples, mechanisms and enabling technologies of VC in JointCloud.

[1] Kiiski A, Hämmäinen H. Mobile virtual network operator strategies:Case Finland. In Proc. the 15th ITS Biennial Conference, Sept. 2004.

[2] Foster I, Zhao Y, Raicu I, Lu S. Cloud computing and grid computing 360-degree compared. In Proc. Grid Computing Environments Workshop, Nov. 2008.

[3] Dean J, Ghemawat S. MapReduce:Simplified data processing on large clusters. In Proc. the 6th Symposium on Operating Systems Design & Implementation, Dec. 2004, pp.137-150.

[4] Zaharia M, Chowdhury M, Franklin M J, Shenker S, Stoica I. Spark:Cluster computing with working sets. Technical Report No. UCB/EECS-2010-53, University of California, May 2010.

[5] Malewicz G, Austern M, Bik A et al. Pregel:A system for large-scale graph processing. In Proc. the 28th PODC, Aug. 2009, pp.135-146.

[6] Logothetis D, Olston C, Reed B, Webb K C, Yocum K. Stateful bulk processing for incremental analytics. In Proc. the 1st ACM Symposium on Cloud Computing, June 2010, 51-62.

[7] Ekanayake J, Li H, Zhang B, Gunarathne T, Bae S H, Qiu J et al. Twister:A runtime for iterative MapReduce. In Proc. the 19th ACM International Symposium on High Performance Distributed Computing, June 2010, pp.810-818.

[8] Murray D G, Schwarzkopf M, Smowton C, Smith S, Madhavapeddy A, Hand S. CIEL:A universal execution engine for distributed dataflow computing. In Proc. the 8th ACM/USENIX Symposium on Networked Systems Design and Implementation, Mar.30-Apr.1, 2011, pp.113-126.

[9] Wei Y, Blake M B. Service-oriented computing and cloud computing:Challenges and opportunities. IEEE Internet Computing, 2010, 14(6):72-75.

[10] Yau S S, Huang D. Development of situation-aware applications in services and cloud computing environments. International Journal of Software and Informatics, 2013, 7(1):21-39.

[11] Wu H, Zhang W, Zhang J, Wei J, Huang T. A benefitaware on-demand provisioning approach for multi-tier applications in cloud computing. Frontiers of Computer Science, 2013, 7(4):459-474.

[12] Wang Y J, Sun W D, Zhou S, Pei X Q, Li X Y. Key technologies of distributed storage for cloud computing. Journal of Software, 2012, 23(4):962-986. (in Chinese)

[13] Zhang S, Qian Z Z, Wu J, Lu S L. Service-oriented resource allocation in clouds:Pursuing flexibility and efficiency. Journal of Computer Science and Technology, 2015, 30(2):421-436.

[14] Wang P, Huang Y, Li K et al. Load balancing degree first algorithm on phase space for cloud computing cluster. Journal of Computer Research and Development, 2014, 51(5):1095-1107. (in Chinese)

[15] Yu B, Han Y, Yuan H, Zhou X, Xu Z. A cost-effective scheme supporting adaptive service migration in cloud data center. Frontiers of Computer Science, 2015, 9(6):875-886.

[16] Wang Z J, Zheng Q S, Cao J. Efficient coordinator in hybrid cloud. Computer Science, 2015, 42(1):92-95, 105. (in Chinese)

[17] He J, Bresler M A, Chiang M, Rexford J. Towards robust multi-layer traffic engineering:Optimization of congestion control and routing. IEEE Journal on Selected Areas in Communications, 2007, 25(5):868-880.

[18] Lin L, Hu J, Zhang J. Packet:A privacy-aware access control policy composition method for services composition in cloud environments. Frontiers of Computer Science, 2016, 10(6):1142-1157.

[19] Niu S, Tu S, Huang Y. An effective and secure access control system scheme in the cloud. Chinese Journal of Electronics, 2015, 24(3):524-528.

[20] Wang H. Privacy-preserving data sharing in cloud computing. Journal of Computer Science and Technology, 2010, 25(3):401-414.

[21] Li X J, Wu Y, Liu X, Cheng H M, Zhu E Z, Yang Y. A novel datacenter-oriented data placement strategy of scientific workflow in hybrid cloud. Journal of Software, 2016, 27(7):1861-1875. (in Chinese)

[22] Nie H, Yang X J, Liu T Y. Software-defined cluster. Journal of Computer Science and Technology, 2015, 30(2):252-258.

[23] Seo K T, Hwang H S, Moon I Y, Kwon O Y, Kim B J. Performance comparison analysis of Linux container and virtual machine for building cloud. Advanced Science and Technology Letters, 2014, 66:105-111.

[24] Merkel D. Docker:Lightweight Linux containers for consistent development and deployment. Linux Journal, 2014, 2014(239):2.

[25] Bernstein D. Containers and cloud:From LXC to Docker to Kubernetes. IEEE Cloud Computing, 2014, 1(3):81-84.

[26] Sridharan M, Greenberg A, Venkataramiah N, Wang Y, Duda K, Ganga I, Tumuluri C. NVGRE:Network virtualization using generic routing encapsulation. https://tools.ietf.org/html/rfc7637, Feb. 2017.

[27] Cui W, Zhan H, Li B, Wang H, Cao D. Cluster as a service:A container based cluster sharing approach with multi-user support. In Proc. IEEE Symposium on Service-Oriented System Engineering (SOSE), Mar.29-Apr.2, 2016, pp.111-118.

[28] Sun D W, Chang G R, Gao S, Jin L Z, Wang X W. Modeling a dynamic data replication strategy to increase system availability in cloud computing environments. Journal of Computer Science and Technology, 2012, 27(2):256-272.
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[1] Zhang Bo; Zhang Ling;. Statistical Heuristic Search[J]. , 1987, 2(1): 1 -11 .
[2] Meng Liming; Xu Xiaofei; Chang Huiyou; Chen Guangxi; Hu Mingzeng; Li Sheng;. A Tree-Structured Database Machine for Large Relational Database Systems[J]. , 1987, 2(4): 265 -275 .
[3] Lin Qi; Xia Peisu;. The Design and Implementation of a Very Fast Experimental Pipelining Computer[J]. , 1988, 3(1): 1 -6 .
[4] Sun Chengzheng; Tzu Yungui;. A New Method for Describing the AND-OR-Parallel Execution of Logic Programs[J]. , 1988, 3(2): 102 -112 .
[5] Zhang Bo; Zhang Tian; Zhang Jianwei; Zhang Ling;. Motion Planning for Robots with Topological Dimension Reduction Method[J]. , 1990, 5(1): 1 -16 .
[6] Wang Dingxing; Zheng Weimin; Du Xiaoli; Guo Yike;. On the Execution Mechanisms of Parallel Graph Reduction[J]. , 1990, 5(4): 333 -346 .
[7] Zhou Quan; Wei Daozheng;. A Complete Critical Path Algorithm for Test Generation of Combinational Circuits[J]. , 1991, 6(1): 74 -82 .
[8] Zhao Jinghai; Liu Shenquan;. An Environment for Rapid Prototyping of Interactive Systems[J]. , 1991, 6(2): 135 -144 .
[9] Shang Lujun; Xu Lihui;. Notes on the Design of an Integrated Object-Oriented DBMS Family[J]. , 1991, 6(4): 389 -394 .
[10] Xu Jianguo; Gou Yuchai; Lin Zongkai;. HEPAPS:A PCB Automatic Placement System[J]. , 1992, 7(1): 39 -46 .

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