{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T07:04:13Z","timestamp":1751094253341,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":55,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662623855"},{"type":"electronic","value":"9783662623862"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-662-62386-2_2","type":"book-chapter","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T00:30:00Z","timestamp":1605832200000},"page":"32-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dynamic Estimation and Grid Partitioning Approach for Multi-objective Optimization Problems in Medical Cloud Federations"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9560-1180","authenticated-orcid":false,"given":"Trung-Dung","family":"Le","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3586-9406","authenticated-orcid":false,"given":"Verena","family":"Kantere","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8614-1848","authenticated-orcid":false,"given":"Laurent","family":"d\u2019Orazio","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,20]]},"reference":[{"issue":"2","key":"2_CR1","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1145\/2845915","volume":"59","author":"D Abadi","year":"2016","unstructured":"Abadi, D., et al.: The Beckman report on database research. J. Commun. ACM 59(2), 92\u201399 (2016)","journal-title":"J. Commun. ACM"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Akdere, M., \u00c7etintemel, U., Riondato, M., Upfal, E., Zdonik, S.B.: Learning-based query performance modeling and prediction. In: 2012 IEEE 28th International Conference on Data Engineering, Washington, DC, pp. 390\u2013401 (2012)","DOI":"10.1109\/ICDE.2012.64"},{"issue":"4","key":"2_CR3","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1145\/1721654.1721672","volume":"53","author":"M Armbrust","year":"2010","unstructured":"Armbrust, M., et al.: A view of cloud computing. Commun. ACM 53(4), 50\u201358 (2010)","journal-title":"Commun. ACM"},{"key":"2_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/978-3-319-54157-0_3","volume-title":"Evolutionary Multi-Criterion Optimization","author":"LCT Bezerra","year":"2017","unstructured":"Bezerra, L.C.T., L\u00f3pez-Ib\u00e1\u00f1ez, M., St\u00fctzle, T.: An empirical assessment of the properties of inverted generational distance on multi- and many-objective optimization. In: Trautmann, H., Rudolph, G., Klamroth, K., Sch\u00fctze, O., Wiecek, M., Jin, Y., Grimme, C. (eds.) EMO 2017. LNCS, vol. 10173, pp. 31\u201345. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-54157-0_3"},{"issue":"2","key":"2_CR5","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"key":"2_CR6","unstructured":"Bugiotti, F., Bursztyn, D., Deutsch, A., Ileana, I., Manolescu, I.: Invisible glue: scalable self-tuning multi-stores. In: Conference on Innovative Data Systems Research (CIDR), Asilomar, CA, USA (2015)"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Cerf, R.: Asymptotic convergence of genetic algorithms. In: Advances in Applied Probability, vol. 30, no. 2, pp. 521\u2013550. Cambridge University Press (1998)","DOI":"10.1239\/aap\/1035228082"},{"key":"2_CR8","unstructured":"Chankong, V., Haimes, Y.Y.: Multiobjective Decision Making: Theory and Methodology, North-Holland Series in System Science and Engineering, North Holland (1983)"},{"key":"2_CR9","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/s10710-005-6164-x","volume":"6","author":"CAC Coello","year":"2005","unstructured":"Coello, C.A.C., Cort\u00e9s, N.C.: Solving multiobjective optimization problems using an artificial immune system. Genet. Program. Evolvable Mach. 6, 163\u2013190 (2005)","journal-title":"Genet. Program. Evolvable Mach."},{"key":"2_CR10","doi-asserted-by":"publisher","unstructured":"Coello, C.A.C., Lamont, G.B., Veldhuizen, D.A.V.: Evolutionary Algorithms for Solving Multi-objective Problems. Genetic and Evolutionary Computation, 2nd edn., pp. I-XXI, 1-800. Springer, New York (2007). https:\/\/doi.org\/10.1007\/978-0-387-36797-2. ISBN 978-0-387-33254-3","DOI":"10.1007\/978-0-387-36797-2"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"DeWitt, D.J., et al.: Split query processing in polybase. In: Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data (SIGMOD 2013), pp. 1255\u20131266. Association for Computing Machinery, New York (2013)","DOI":"10.1145\/2463676.2463709"},{"issue":"1","key":"2_CR12","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/1327452.1327492","volume":"51","author":"J Dean","year":"2008","unstructured":"Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107\u2013113 (2008)","journal-title":"Commun. ACM"},{"key":"2_CR13","first-page":"1","volume":"9","author":"K Deb","year":"1994","unstructured":"Deb, K., Agrawal, R.B.: Simulated binary crossover for continuous search space. Complex Syst. 9, 1\u201334 (1994)","journal-title":"Complex Syst."},{"issue":"4","key":"2_CR14","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2014","unstructured":"Deb, K., Jain, H.: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: solving problems with box constraints. IEEE Trans. Evol. Comput. 18(4), 577\u2013601 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"2_CR15","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"2_CR16","series-title":"Advanced Information and Knowledge Processing","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1007\/1-84628-137-7_6","volume-title":"Evolutionary Multiobjective Optimization","author":"K Deb","year":"2005","unstructured":"Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable test problems for evolutionary multiobjective optimization. In: Abraham, A., Jain, L., Goldberg, R. (eds.) Evolutionary Multiobjective Optimization. Advanced Information and Knowledge Processing, pp. 105\u2013145. Springer, London (2005). https:\/\/doi.org\/10.1007\/1-84628-137-7_6"},{"key":"2_CR17","doi-asserted-by":"crossref","unstructured":"Doka, K., Papailiou, N., Tsoumakos, D., Mantas, C., Koziris, N.: IReS: intelligent, multi-engine resource scheduler for big data analytics workflows. In: Proceedings of the: ACM SIGMOD International Conference on Management of Data (SIGMOD 2015), pp. 1451\u20131456. ACM, New York (2015)","DOI":"10.1145\/2723372.2735377"},{"issue":"12","key":"2_CR18","doi-asserted-by":"publisher","first-page":"1908","DOI":"10.14778\/2824032.2824098","volume":"8","author":"A Elmore","year":"2015","unstructured":"Elmore, A., et al.: A demonstration of the BigDAWG polystore system. Proc. VLDB Endow. 8(12), 1908\u20131911 (2015)","journal-title":"Proc. VLDB Endow."},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"Fard, H.M., Prodan, R., Barrionuevo, J.J.D., Fahringer, T.: A multi-objective approach for workflow scheduling in heterogeneous environments. In: 12th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), Ottawa, ON, pp. 300\u2013309 (2012)","DOI":"10.1109\/CCGrid.2012.114"},{"issue":"1","key":"2_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/evco.1995.3.1.1","volume":"3","author":"CM Fonseca","year":"1995","unstructured":"Fonseca, C.M., Fleming, P.J.: An overview of evolutionary algorithms in multiobjective optimization. Evol. Comput. 3(1), 1\u201316 (1995)","journal-title":"Evol. Comput."},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Ganapathi, A., et al.: Predicting multiple metrics for queries: better decisions enabled by machine learning. In: 2009 IEEE 25th International Conference on Data Engineering, Shanghai, pp. 592\u2013603(2009)","DOI":"10.1109\/ICDE.2009.130"},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Giannakouris, V., Papailiou, N., Tsoumakos, D., Koziris, N.: MuSQLE: distributed SQL query execution over multiple engine environments. In: 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, pp. 452\u2013461 (2016)","DOI":"10.1109\/BigData.2016.7840636"},{"key":"2_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1007\/978-3-642-13962-8_20","volume-title":"Programs, Proofs, Processes","author":"C Gla\u00dfer","year":"2010","unstructured":"Gla\u00dfer, C., Reitwie\u00dfner, C., Schmitz, H., Witek, M.: Approximability and hardness in multi-objective optimization. In: Ferreira, F., L\u00f6we, B., Mayordomo, E., Mendes Gomes, L. (eds.) CiE 2010. LNCS, vol. 6158, pp. 180\u2013189. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13962-8_20"},{"key":"2_CR24","unstructured":"Helff, F., Gruenwald, L., D\u2019Orazio, L.: Weighted sum model for multi-objective query optimization for mobile-cloud database environments. In: EDBT\/ICDT Workshops (2016)"},{"issue":"5","key":"2_CR25","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1109\/TEVC.2005.861417","volume":"10","author":"S Huband","year":"2006","unstructured":"Huband, S., Hingston, P., Barone, L., While, L.: A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans. Evol. Comput. 10(5), 447\u2013506 (2006)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"2_CR26","doi-asserted-by":"crossref","unstructured":"Ishibuchi, H., Masuda, H., Nojima, Y.: Sensitivity of performance evaluation results by inverted generational distance to reference points. In: IEEE Congress on Evolutionary Computation (CEC), pp. 1107\u20131114, July 2016","DOI":"10.1109\/CEC.2016.7743912"},{"issue":"4","key":"2_CR27","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1109\/TEVC.2013.2281534","volume":"18","author":"H Jain","year":"2014","unstructured":"Jain, H., Deb, K.: An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, Part II: handling constraints and extending to an adaptive approach. IEEE Trans. Evol. Comput. 18(4), 602\u2013622 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"12","key":"2_CR28","doi-asserted-by":"publisher","first-page":"972","DOI":"10.14778\/2994509.2994516","volume":"9","author":"M Karpathiotakis","year":"2016","unstructured":"Karpathiotakis, M., Alagiannis, I., Ailamaki, A.: Fast queries over heterogeneous data through engine customization. Proc. VLDB Endow. 9(12), 972\u2013983 (2016)","journal-title":"Proc. VLDB Endow."},{"key":"2_CR29","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1016\/j.rser.2012.11.040","volume":"19","author":"SA Khan","year":"2013","unstructured":"Khan, S.A., Rehman, S.: Iterative non-deterministic algorithms in on-shore wind farm design: a brief survey. Renew. Sustain. Energy Rev. 19, 370\u2013384 (2013)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"2_CR30","doi-asserted-by":"crossref","unstructured":"Kllapi, H., Sitaridi, E., Tsangaris, M.M., Ioannidis, Y.: Schedule optimization for data processing flows on the cloud. In: Proceedings of the 2011 International Conference on Management of Data - SIGMOD 2011, pp. 289 (2011)","DOI":"10.1145\/1989323.1989355"},{"key":"2_CR31","unstructured":"Knowles, J., Corne, D.: The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation. In: Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), Washington, DC, USA, vol. 1, pp. 98\u2013105 (1999)"},{"key":"2_CR32","doi-asserted-by":"crossref","unstructured":"Kolev, B., Bondiombouy, C., Valduriez, P., Jimenez-Peris, R., Pau, R., Pereira, J.: The CloudMdsQL multistore system. In: Proceedings of the 2016 International Conference on Management of Data (SIGMOD 2016), pp. 2113\u20132116. Association for Computing Machinery, New York (2016)","DOI":"10.1145\/2882903.2899400"},{"issue":"4","key":"2_CR33","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/s10619-015-7185-y","volume":"34","author":"B Kolev","year":"2016","unstructured":"Kolev, B., Valduriez, P., Bondiombouy, C., Jim\u00e9nez-Peris, R., Pau, R., Pereira, J.: CloudMdsQL: querying heterogeneous cloud data stores with a common language. Distrib. Parallel Database 34(4), 463\u2013503 (2016)","journal-title":"Distrib. Parallel Database"},{"key":"2_CR34","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/978-3-540-70928-2_55","volume-title":"Evolutionary Multi-Criterion Optimization","author":"M K\u00f6ppen","year":"2007","unstructured":"K\u00f6ppen, M., Yoshida, K.: Substitute distance assignments in NSGA-II for handling many-objective optimization problems. In: Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T., Murata, T. (eds.) EMO 2007. LNCS, vol. 4403, pp. 727\u2013741. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-70928-2_55"},{"key":"2_CR35","unstructured":"Kurze, T., Klems, M., Bermbach, D., Lenk, A., Tai, S., Kunze, M.: Cloud federation. In: The Second International Conference on Cloud Computing, GRIDs, and Virtualization, pp. 32\u201338 (2011)"},{"key":"2_CR36","doi-asserted-by":"crossref","unstructured":"Le, T.-D., Kantere, V., D\u2019Orazio, L.: An efficient multi-objective genetic algorithm for cloud computing: NSGA-G. In: IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, 10\u201313 December, pp. 3883\u20133888 (2018)","DOI":"10.1109\/BigData.2018.8622148"},{"key":"2_CR37","unstructured":"Le, T.-D., Kantere, V., D\u2019Orazio, L.: Dynamic estimation for medical data management in a cloud federation. In: Proceedings of the Workshops of the EDBT\/ICDT 2019 Joint Conference, EDBT\/ICDT 2019, Lisbon, Portugal, 26 March 2019 (2019)"},{"key":"2_CR38","doi-asserted-by":"crossref","unstructured":"LeFevre, J., Sankaranarayanan, J., Hacig\u00fcm\u00fcs, H., Tatemura, J., Polyzotis, N., Carey, M.J.: MISO: souping up big data query processing with a multistore system. In: SIGMOD Conference 2014 , pp. 1591\u20131602 (2014)","DOI":"10.1145\/2588555.2588568"},{"key":"2_CR39","first-page":"494","volume":"3","author":"T Nykiel","year":"2010","unstructured":"Nykiel, T., Potamias, M., Mishra, C., Kollios, G., Koudas, N.: MRShare: sharing across multiple queries in MapReduce. PVLDB 3, 494\u2013505 (2010)","journal-title":"PVLDB"},{"key":"2_CR40","unstructured":"Papakonstantinou, Y.: Polystore query rewriting: the challenges of variety. In: EDBT\/ICDT Workshops (2016)"},{"key":"2_CR41","doi-asserted-by":"publisher","DOI":"10.1002\/0471725382","volume-title":"Robust Regression and Outlier Detection","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J., Leroy, A.M.: Robust Regression and Outlier Detection. Wiley, New York (1987)"},{"key":"2_CR42","doi-asserted-by":"crossref","unstructured":"Sidhanta, S., Golab, W., Mukhopadhyay, S.: OptEx: a deadline-aware cost optimization model for spark. In: 16th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Cartagena, pp. 193\u2013202 (2016)","DOI":"10.1109\/CCGrid.2016.10"},{"key":"2_CR43","volume-title":"Fundamentals of Probability and Statistics for Engineers","author":"TT Soong","year":"2004","unstructured":"Soong, T.T.: Fundamentals of Probability and Statistics for Engineers. Wiley, New York (2004)"},{"issue":"3","key":"2_CR44","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1994","unstructured":"Srinivas, N., Deb, K.: Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evol. Comput. 2(3), 221\u2013248 (1994)","journal-title":"Evol. Comput."},{"key":"2_CR45","doi-asserted-by":"crossref","unstructured":"Thusoo, A., et al.: Hive - a petabyte scale data warehouse using Hadoop. In: 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), pp. 996\u20131005 (2010)","DOI":"10.1109\/ICDE.2010.5447738"},{"key":"2_CR46","doi-asserted-by":"crossref","unstructured":"Tozer, S., Brecht, T., Aboulnaga, A.: Q-Cop: avoiding bad query mixes to minimize client timeouts under heavy loads. In: 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), Long Beach, CA, pp. 397\u2013408 (2010)","DOI":"10.1109\/ICDE.2010.5447850"},{"issue":"10","key":"2_CR47","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1145\/3068612","volume":"60","author":"L Trummer","year":"2017","unstructured":"Trummer, L., Koch, C.: Multi-objective parametric query optimization. Commun. ACM 60(10), 81\u201389 (2017)","journal-title":"Commun. ACM"},{"key":"2_CR48","unstructured":"Veldhuizen, D.A.V.: Multiobjective evolutionary algorithms: classifications, analyses, and new innovations. Ph.D. thesis, Department of Electrical and Computer Engineering. Graduate School of Engineering. Air Force Institute of Technology, Wright-Patterson AFB, Ohio (1999)"},{"key":"2_CR49","unstructured":"Veldhuizen, D.A.V., Lamont, G.B.: Evolutionary computation and convergence to a pareto front. In: Late Breaking Papers at the Genetic Programming 1998 Conference, pp. 221\u2013228 (1998)"},{"key":"2_CR50","unstructured":"Wu, W., Chi, Y., Zhu, S., Tatemura, J., Hacig\u00fcm\u00fcs, H., Naughton, J.F.: Predicting query execution time: are optimizer cost models really unusable? In: 2013 IEEE 29th International Conference on Data Engineering (ICDE), Brisbane, QLD, pp. 1081\u20131092 (2013)"},{"key":"2_CR51","doi-asserted-by":"crossref","unstructured":"Xiong, P., Chi, Y., Zhu, S., Tatemura, J., Pu, C., Hacig\u00fcm\u00fc\u015e, H.: ActiveSLA: a profit-oriented admission control framework for Database-as-a-Service providers. In: Proceedings of the 2nd ACM Symposium on Cloud Computing, SOCC 2011 (2011)","DOI":"10.1145\/2038916.2038931"},{"key":"2_CR52","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1109\/TEVC.2013.2240687","volume":"18","author":"GG Yen","year":"2013","unstructured":"Yen, G.G., He, Z.: Performance metrics ensemble for multiobjective evolutionary algorithms. IEEE Trans. Evol. Comput. 18, 131\u2013144 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"2_CR53","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang, Q., Li, H.: MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans. Evol. Comput. 11(6), 712\u2013731 (2007)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"2_CR54","unstructured":"Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: improving the strength pareto evolutionary algorithm, TIK-Report. 103 (2001)"},{"issue":"2","key":"2_CR55","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1109\/TEVC.2003.810758","volume":"7","author":"E Zitzler","year":"2003","unstructured":"Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., Fonseca, V.G.D.: Performance assessment of multiobjective optimizers: an analysis and review. IEEE Trans. Evol. Comput. 7(2), 117\u2013132 (2003)","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-62386-2_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T03:04:09Z","timestamp":1606100649000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-62386-2_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783662623855","9783662623862"],"references-count":55,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-62386-2_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"20 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}