{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:31:33Z","timestamp":1758274293122,"version":"3.37.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319733524"},{"type":"electronic","value":"9783319733531"}],"license":[{"start":{"date-parts":[[2017,12,28]],"date-time":"2017-12-28T00:00:00Z","timestamp":1514419200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-73353-1_25","type":"book-chapter","created":{"date-parts":[[2017,12,27]],"date-time":"2017-12-27T05:45:34Z","timestamp":1514353534000},"page":"353-369","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud"],"prefix":"10.1007","author":[{"given":"Yisel","family":"Gar\u00ed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David A.","family":"Monge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristian","family":"Mateos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"Garc\u00eda Garino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,12,28]]},"reference":[{"issue":"6","key":"25_CR1","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.future.2008.12.001","volume":"25","author":"R Buyya","year":"2009","unstructured":"Buyya, R., Yeo, C., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25(6), 599\u2013616 (2009)","journal-title":"Future Gener. Comput. Syst."},{"key":"25_CR2","doi-asserted-by":"crossref","unstructured":"Mao, M., Humphrey, M.: Scaling and scheduling to maximize application performance within budget constraints in cloud workflows. In: 2013 IEEE 27th International Symposium on Parallel & Distributed Processing (IPDPS), pp. 67\u201378. IEEE (2013)","DOI":"10.1109\/IPDPS.2013.61"},{"issue":"4 Special Issue","key":"25_CR3","first-page":"291","volume":"32","author":"DA Monge","year":"2017","unstructured":"Monge, D.A., Yisel, G., Mateos, C., Garc\u00eda Garino, C.: Autoscaling scientific workflows on the cloud by combining on-demand and spot instances. Int. J. Comput. Syst. Sci. Eng. 32(4 Special Issue on Elastic Data Management in Cloud Systems), 291\u2013306 (2017)","journal-title":"Int. J. Comput. Syst. Sci. Eng."},{"issue":"1","key":"25_CR4","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.future.2012.06.009","volume":"29","author":"RR Exp\u00f3sito","year":"2013","unstructured":"Exp\u00f3sito, R.R., Taboada, G.L., Ramos, S., Touri\u00f1o, J., Doallo, R.: Performance analysis of HPC applications in the cloud. Future Gener. Comput. Syst. 29(1), 218\u2013229 (2013)","journal-title":"Future Gener. Comput. Syst."},{"issue":"3","key":"25_CR5","first-page":"16:1","volume":"1","author":"OA Ben-Yehuda","year":"2013","unstructured":"Ben-Yehuda, O.A., Ben-Yehuda, M., Schuster, A., Tsafrir, D.: Deconstructing Amazon EC2 spot instance pricing. ACM Trans. Econ. Comput. 1(3), 16:1\u201316:20 (2013)","journal-title":"ACM Trans. Econ. Comput."},{"issue":"3","key":"25_CR6","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1016\/j.future.2012.08.015","volume":"29","author":"G Juve","year":"2013","unstructured":"Juve, G., Chervenak, A., Deelman, E., Bharathi, S., Mehta, G., Vahi, K.: Characterizing and profiling scientific workflows. Future Gener. Comput. Syst. 29(3), 682\u2013692 (2013)","journal-title":"Future Gener. Comput. Syst."},{"issue":"1","key":"25_CR7","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s10723-010-9168-6","volume":"9","author":"TT Huu","year":"2011","unstructured":"Huu, T.T., Koslovski, G., Anhalt, F., Montagnat, J., Vicat-Blanc Primet, P.: Joint elastic cloud and virtual network framework for application performance-cost optimization. J. Grid Comput. 9(1), 27\u201347 (2011)","journal-title":"J. Grid Comput."},{"key":"25_CR8","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-662-45483-1_2","volume-title":"High Performance Computing","author":"DA Monge","year":"2014","unstructured":"Monge, D.A., Garc\u00eda Garino, C.: Adaptive spot-instances aware autoscaling for scientific workflows on the cloud. In: Hern\u00e1ndez, G., Barrios Hern\u00e1ndez, C.J., D\u00edaz, G., Garc\u00eda Garino, C., Nesmachnow, S., P\u00e9rez-Acle, T., Storti, M., V\u00e1zquez, M. (eds.) CARLA 2014. CCIS, vol. 485, pp. 13\u201327. Springer, Heidelberg (2014). \nhttps:\/\/doi.org\/10.1007\/978-3-662-45483-1_2"},{"issue":"4","key":"25_CR9","first-page":"348","volume":"12","author":"V Turchenko","year":"2013","unstructured":"Turchenko, V., Shultz, V., Turchenko, I., Wallace, R.M., Sheikhalishahi, M., Vazquez-Poletti, J.L., Grandinetti, L.: Spot price prediction for cloud computing using neural networks. Int. J. Comput. 12(4), 348\u2013359 (2013)","journal-title":"Int. J. Comput."},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Tang, S., Yuan, J., Li, X.Y.: Towards optimal bidding strategy for Amazon EC2 cloud spot instance. In: Proceedings of the 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012, pp. 91\u201398 (2012)","DOI":"10.1109\/CLOUD.2012.134"},{"key":"25_CR11","volume-title":"Dynamic Programming","author":"R Bellman","year":"1957","unstructured":"Bellman, R.: Dynamic Programming. Princeton University Press, Princeton (1957)"},{"key":"25_CR12","series-title":"Frontiers in Artificial Intelligence and Applications","volume-title":"The Logic of Adaptive Behavior","author":"M Otterlo Van","year":"2009","unstructured":"Van Otterlo, M.: The Logic of Adaptive Behavior. Frontiers in Artificial Intelligence and Applications, vol. 192. IOS Press, Amsterdam (2009)"},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Barrett, E., Howley, E., Duggan, J.; A learning architecture for scheduling workflow applications in the cloud. In: Proceedings of the 9th IEEE European Conference on Web Services, ECOWS 2011, pp. 83\u201390 (2011)","DOI":"10.1109\/ECOWS.2011.27"},{"key":"25_CR14","doi-asserted-by":"crossref","first-page":"1656","DOI":"10.1002\/cpe.2864","volume":"25","author":"E Barrett","year":"2012","unstructured":"Barrett, E., Howley, E., Duggan, J.: Applying reinforcement learning towards automating resource allocation and application scalability in the cloud. Concurr. Comput. Pract. Exp. 25, 1656\u20131674 (2012)","journal-title":"Concurr. Comput. Pract. Exp."},{"issue":"1","key":"25_CR15","first-page":"23","volume":"41","author":"RN Calheiros","year":"2011","unstructured":"Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A.F., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw.: Pract. Exp. 41(1), 23\u201350 (2011)","journal-title":"Softw.: Pract. Exp."},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Jia, Y., Buyya, R., Tham, C.K.: Cost-based scheduling of scientific workflow applications on utility grids. In: Proceedings of the First International Conference on e-Science and Grid Computing, e-Science 2005, pp. 140\u2013147 (2005)","DOI":"10.1109\/E-SCIENCE.2005.26"}],"container-title":["Communications in Computer and Information Science","High Performance Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-73353-1_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,12,27]],"date-time":"2017-12-27T06:04:06Z","timestamp":1514354646000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-73353-1_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,28]]},"ISBN":["9783319733524","9783319733531"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-73353-1_25","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017,12,28]]}}}