Abstract
In cloud computing service providers offer services to be used by customers. Given the increasing number of clients and also the variety of their needs, some users adjust services to their context. Also context may differ from those services. For this, we propose in this paper a set of tools (architecture and algorithm) for achieving this adaptation taking into account the specificities related to the context of the user. This set, knowing the services offered by suppliers, enables the user to make an adjustment using methods to construct the user context and the research service related to this context. The result obtained after the different tests carried out shows that our tool could be a better simulation environment of research and selection service adaption like in other environments.
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References
Farh, M.: A low approach é e agents for the allocation of resources in the Cloud Computing, Doctoral dissertation, University é Mohamed Khider-Biskra (2015)
H umane, P., Varshapriya, J.N.: Simulation of cloud infrastructure using cloudsim simulator: a practical approach for researchers. In: 2015 International Conference on Smart Technologies and Management for Computing, Communications, Controls, Energy and Materials (ICSTM), pp. 207–211. IEEE, May 2015
Krzywda, J., Tärneberg, W., ÖStBerG, P.O., Kihl, M., Elmroth, E.: TelcoClouds: modelling and simulation. In: Closer (2015)
Kecskemeti, G.: Dissect-CF: a simulator to foster energy-aware scheduling in infrastructure clouds. Simul. Model. Pract. Theory 58, 188–218 (2015)
Kaur, R., Ghumman, N.S.: A survey and comparison of various cloud simulators available for cloud environment. Int. J. Adv. Res. Comput. Commun. Eng. 4(5), 605–608 (2015)
Malik, A., Bilal, K., Malik, S., Anwar, Z., Aziz, K., Kliazovich, D., Buyya, R.: CloudNetSim++: a GUI based framework for modeling and simulation of data centers in OMNeT ++, 29 October 2015
Tian, W., Xu, M., Chen, A., Li, G., Wang, X., Chen, Y.: Open-source simulators for Cloud computing: comparative study and challenging issues. Simul. Model. Pract. Theory 58, 239–254 (2015)
Serrano, N., Gallardo, G., Hernantes, J.: Infrastructure as a service and cloud technologies. IEEE Softw. 2, 30–36 (2015)
García-Galán, J., Trinidad, P., Rana, O.F., Ruiz-Cortés, A.: Automated configuration supporting infrastructure for migrating to the cloud. Fut. Gener. Comput. Syst. 55, 200–212 (2015)
Sá, T.T., Calheiros, R.N., Gomes, D.G.: CloudReports: an extensible simulation tool for energy-aware cloud computing environments. In: Mahmood, Z. (ed.) cloud computing, pp. 127–142. Springer, Cham (2014)
Ahmed, A., Sabyasachi, A.S.: Cloud computing simulators: a detailed survey and future direction. In: 2014 IEEE International Advance Computing Conference (IACC), pp. 866–872. IEEE, February 2014
Liu, J., Zhou, Y., Zhang, D., Fang, Y., Han, W., Zhang, Y.: Muclouds: parallel simulator for large-scale cloud computing systems. In: Ubiquitous, December 2014
Malhotra, R., Jain, P.: Study and comparison of cloudsim simulators in the cloud computing. SIJ Trans. Comput. Sci. Eng. Appl. 3(9), 347–350 (2013)
Ray, S., De Sarkar, A.: Execution analysis of load balancing algorithms in cloud computing environment. Int. J. Cloud Comput. Serv. Archit. (IJCCSA) 2(5), 1–13 (2012)
Zhao, W., Peng, Y., Xie, F., Dai, Z.: Modeling and simulation of cloud computing: a review. In: 2012 IEEE Asia Pacific Cloud Computing Congress (APCloudCC), pp. 20–24. IEEE, November 2012
Rak, M., Cuomo, A., Villano, U.: Mjades: concurrent simulation in the cloud. In: 2012 Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 853–860. IEEE, July 2012
Fittkau, F., Frey, S., Hasselbring, W.: CDOSim: simulating cloud deployment options for migration software support. In: 2012 6th IEEE International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA), pp. 37–46. IEEE, September 2012
Wickremasinghe, B., Calheiros, R.N., Buyya, R.: Cloudanalyst: a cloudsim-based visual modeller for Analysing cloud computing environments and applications. In: 2010 24th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 446–452. IEEE, April 2010
Papakos, P., Capra, L., Rosenblum, D.S.: Volare: context- aware adaptive cloud service discovery for mobile systems. In: Proceedings of the 9th International Workshop on Adaptive and Reflective Middleware, pp. 32–38. ACM, November 2010
Liu, L., Wang, H., Liu, X., Jin, X., He, W.B., Wang, Q.B., Chen, Y.: GreenCloud: a new architecture for green data center. In: Proceedings of the 6th International Conference on Autonomic Computing Industry Session and Communications Industry Session, pp. 29–38. ACM, June 2009
Wickremasinghe, B.: CloudAnalyst: A CloudSim-based tool for modeling and analysis of large scale cloud computing environments. MEDC Proj. Rep. 22(6), 433–659 (2009)
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Koffi, K., Michel, B., Tra, G.B., Marcelin, B.K. (2018). Proposals of Architecture for Adapting Cloud Computing Services to User’s Context. In: Bissyande, T., Sie, O. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 208. Springer, Cham. https://doi.org/10.1007/978-3-319-66742-3_10
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DOI: https://doi.org/10.1007/978-3-319-66742-3_10
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