Abstract
As cloud computing offers scalability, extensibility, elasticity, flexibility and cost savings to the customers of cloud service providers, there is a growing trend towards migrating services to the cloud. Hybrid clouds, which comprise nodes both in the private cloud and in the public cloud, have emerged as a new model for service providers to deploy their services. However, to deploy services in hybrid clouds is a complex task as services are in essence distributed applications. What is more, there is heterogeneity among hybrid clouds. This article proposes an autonomous engine for services configuration and deployment in hybrid clouds. The automation is enabled by the definition of generic information model, which describes all the information relevant to the deployment and configuration of services with the same abstractions, including the required resources, service dependencies and business objectives. In addition, to shield the heterogeneity of hybrid clouds, we define mapping rules for model transformation. We also deploy a three-layer architecture application on Openstack and CloudStack to validate the correctness of our approach.
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References
Chen, X., Zhang, Y., Huang, G., Zheng, X., Guo, W., Rong, C.: Architecture-based integrated management of diverse cloud resources. J. Cloud Comput. 3, 11 (2014). Springer, Heidelberg
Bencomo, N., Blair, G.S., France, R.B.: Summary of the workshop Models@run.time at MoDELS 2006. In: Kühne, T. (ed.) MoDELS 2006. LNCS, vol. 4364, pp. 227–231. Springer, Heidelberg (2007)
Blair, G., Bencomo, N., France, R.: Models@run.time. Computer 42(10), 22–27 (2009)
Huang, G., Mei, H., Yang, F.: Runtime recovery and manipulation of software architecture of component-based systems. Automat. Softw. Eng. 13(2), 257–281 (2006)
Occello, A., AM, D.P., Riveill, M.: A runtime model for monitoring software adaptation safety and its concretisation as a service. Models@runtime 8, 67–76 (2008)
Wu, Y., Huang, G., Song, H., Zhang, Y.: Model driven configuration of fault tolerance solutions for component-based software system. In: France, R.B., Kazmeier, J., Breu, R., Atkinson, C. (eds.) MODELS 2012. LNCS, vol. 7590, pp. 514–530. Springer, Heidelberg (2012)
Huang, G., Song, H., Mei, H.: SM@RT: applying architecture-based runtime management of internetware systems. Int. J. Softw. Inf. 3(4), 439–464 (2009)
Song, H., Huang, G., Chauvel, F., Xiong, Y., Hu, Z., Sun, Y., Mei, H.: Supporting runtime software architecture: a bidirectional-transformation-based approach. J. Syst. Softw. 84(5), 711–723 (2011)
Peking University: SM@RT: Supporting Models at Run-Time. http://code.google.com/p/smatrt/
Lan, X., Liu, Y., Chen, X., Huang, Y., Lin, B., Guo, W.: A model-based autonomous engine for application runtime environment configuration and deployment in PaaS Cloud. In: IEEE 6th International Conference on Cloud Computing Technology and Science on CloudCom (2014)
Huang, G., Chen, X., Zhang, Y., Zhang, X.: Towards architecture-based management of platforms in the cloud. Frontiers Comput. Sci 6(4), 388–397 (2012)
Pawluk, P., Simmons, B., Smit, M., Litoiu, M., Mankovski, S.: Introducing STRATOS: A cloud broker service. In: 2012 IEEE 5th International Conference on CloudComputing (CLOUD), pp. 891–898 (2012)
Zaman, S., Grosu, D.: An online mechanism for dynamic VM provisioning and allocation in clouds. In: 2012 IEEE 5th International Conference on Cloud Computing (CLOUD), pp. 253–260 (2012)
Nelson-Smith, S.: Test-Driven Infrastructure with Chef. O’Reilly Media, Inc. (2011)
Juve, G., Deelman, E.: Automating application deployment in infrastructure clouds. In: 2011 IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom), pp. 658–665 (2011)
Ruiz, J.L., Dueñas, J.C., Cuadrado, F.: Model-based context-aware deployment of distributed systems. IEEE Commun. Mag. 47(6), 164–171 (2009)
Ceri, S., Fraternali, P., Bongio, A.: Web modeling language (WebML): a modeling language for designing web sites. Comput. Netw. 33(1), 137–157 (2000)
De Sousa Saraiva, J., da Silva, A.R.: CMS-based web-application development using model-driven languages. In: Software Engineering Advances’s 09 (ICSEA). IEEE (2009)
Acknowledgements
This work was supported by the National Natural Science Foundation of China under Grant No.61402111, the Fujian Province High School Science Fund for Distinguished Young Scholars under Grand No. JA12016, the Program for New Century Excellent Talents in Fujian Province University under Grant No. JA13021.
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Liu, Y., Lan, X., Chen, X., Feng, X., Zheng, X., Guo, W. (2015). An Architecture-Based Autonomous Engine for Services Configuration and Deployment in Hybrid Clouds. In: Qiang, W., Zheng, X., Hsu, CH. (eds) Cloud Computing and Big Data. CloudCom-Asia 2015. Lecture Notes in Computer Science(), vol 9106. Springer, Cham. https://doi.org/10.1007/978-3-319-28430-9_7
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DOI: https://doi.org/10.1007/978-3-319-28430-9_7
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