1. 1. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)
   2. Beloglazov, A., Buyya, R.: Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers. Concurr. Comput. 24(13), 1397–1420 (2012)
   3. Bonvin,N., Papaioannou,T.G.,Aberer, K.:Autonomic SLA-driven provisioning for cloud applications. In: Proceedings of the 2011 11th IEEE/ACM international symposium on cluster, cloud and grid computing, IEEE Computer Society, pp. 434– 443 (2011)
   4. Calheiros, R.N.,Ranjan, R.,Beloglazov, A.,DeRose, C.A.,Buyya, R.: Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software 41(1), 23–50 (2011) [5]Chatterjee, S., Hadi, A.S.: Regression analysis by example.Wiley, Hoboken (2013)
   5. Duong, T.N.B., Li, X., Goh, R.S.M.: A framework for dynamic resource provisioning and adaptation in iaas clouds. In: Proceedings of the IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom), 2011, pp. 312– 319 (2011). IEEE
   6. Hategan, M., Wozniak, J., Maheshwari, K.: Coasters: uniform resource provisioning and access for clouds and grids. In: Proceedings of the Fourth IEEE International Conference on Utility and Cloud Computing (UCC), pp. 114–121 (2011). IEEE [8]Herbst, N.R., Kounev, S., Reussner, R.: Elasticity in cloud computing: what it is, and what it is not. In: Proceedings of the 10th International Conference on autonomic computing (ICAC 2013), San Jose, CA (2013)
   7. Huang, H., Wang, L.: P&p: a combined push-pull model for resource monitoring in cloud computing environment. In: Proceedings of the Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on, pp. 260–267 (2010). IEEE
   8. Jararweh,Y., Jarrah, M.,Kharbutli, M.,Alsaleh,M.N., Al-Ayyoub, M.: CloudExp: a comprehensive cloud computing experimental framework. Simul. Model. Pract. Theory 49, 180–192 (2014)
   9. Marshall, P., Keahey, K., Freeman, T.: Elastic site: using clouds to elastically extend site resources. In: Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, EEE Computer Society, pp. 43–52. I (2010)
   10. Siddiqui, U., Tahir, G.A., Rehman, A.U., Ali, Z., Rasool, R.U., Bloodsworth, P.: Elastic jade: dynamically scalable multi agents using cloud resources. In: Proceedings of the Cloud and Green Computing (CGC), 2012 Second International Conference on, pp. 167–172 (2012). IEEE
   11. Vaquero, L.M., Rodero-Merino, L., Buyya, R.: Dynamically scaling applications in the cloud.ACMSIGCOMMComput.Commun. Rev. 41(1), 45–52 (2011).