{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:14:56Z","timestamp":1743023696514,"version":"3.40.3"},"publisher-location":"Cham","reference-count":44,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031304415"},{"type":"electronic","value":"9783031304422"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-30442-2_13","type":"book-chapter","created":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T10:02:09Z","timestamp":1682589729000},"page":"171-182","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cost and\u00a0Performance Analysis of\u00a0MPI-Based SaaS on\u00a0the\u00a0Private Cloud Infrastructure"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4477-2630","authenticated-orcid":false,"given":"Oleg","family":"Bystrov","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9264-4142","authenticated-orcid":false,"given":"Arnas","family":"Ka\u010deniauskas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5135-8155","authenticated-orcid":false,"given":"Ruslan","family":"Pacevi\u010d","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,28]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2021.100390","volume":"40","author":"AA Khan","year":"2021","unstructured":"Khan, A.A., Zakarya, M.: Energy, performance and cost efficient cloud datacentres: a survey. Comput. Sci. Rev. 40, 100390 (2021)","journal-title":"Comput. Sci. Rev."},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Mell, P.M., Grance, T.: The NIST definition of cloud computing. Technical report (2011)","DOI":"10.6028\/NIST.SP.800-145"},{"key":"13_CR3","unstructured":"Openstack. https:\/\/www.openstack.org. Accessed 9 Apr 2022"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Nurmi, D., et al.: The Eucalyptus open-source cloud-computing system. In: 2009 9th IEEE\/ACM International Symposium on Cluster Computing and the Grid, pp. 124\u2013131. IEEE (2009)","DOI":"10.1109\/CCGRID.2009.93"},{"issue":"4","key":"13_CR5","first-page":"1","volume":"219","author":"A Chierici","year":"2010","unstructured":"Chierici, A., Veraldi, R.: A quantitative comparison between XEN and KVM. J. Phys: Conf. Ser. 219(4), 1\u201310 (2010)","journal-title":"J. Phys: Conf. Ser."},{"key":"13_CR6","unstructured":"Docker. https:\/\/www.docker.com. Accessed 9 Apr 2022"},{"key":"13_CR7","unstructured":"McMillan, B., Chen, C.: High performance docking. Technical report (2014)"},{"key":"13_CR8","unstructured":"Edem now available on rescale\u2019s cloud simulation platform. https:\/\/www.edemsimulation.com\/blog-and-news\/news\/edem-now-available-rescales-cloud-simulation-platform\/. Accessed 9 Apr 2022"},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.simpat.2013.04.002","volume":"39","author":"G Sakellari","year":"2013","unstructured":"Sakellari, G., Loukas, G.: A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing. Simul. Model. Pract. Theory 39, 92\u2013103 (2013)","journal-title":"Simul. Model. Pract. Theory"},{"issue":"3","key":"13_CR10","doi-asserted-by":"publisher","first-page":"254","DOI":"10.5755\/j01.itc.44.3.7379","volume":"44","author":"A Ka\u010deniauskas","year":"2015","unstructured":"Ka\u010deniauskas, A., et al.: Private cloud infrastructure for applications of mechanical and medical engineering. Inf. Technol. Control 44(3), 254\u2013261 (2015)","journal-title":"Inf. Technol. Control"},{"key":"13_CR11","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.future.2016.08.025","volume":"68","author":"Z Kozhirbayev","year":"2017","unstructured":"Kozhirbayev, Z., Sinnott, R.O.: A performance comparison of container-based technologies for the cloud. Futur. Gener. Comput. Syst. 68, 175\u2013182 (2017)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"S1","key":"13_CR12","doi-asserted-by":"publisher","first-page":"1765","DOI":"10.1007\/s10586-017-1511-2","volume":"22","author":"M Chae","year":"2017","unstructured":"Chae, M., Lee, H., Lee, K.: A performance comparison of linux containers and virtual machines using docker and KVM. Clust. Comput. 22(S1), 1765\u20131775 (2017)","journal-title":"Clust. Comput."},{"key":"13_CR13","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1016\/j.procs.2020.04.152","volume":"171","author":"AM Potdar","year":"2020","unstructured":"Potdar, A.M., Narayan, G.D., Kengond, S., Mulla, M.M.: Performance evaluation of docker container and virtual machine. Procedia Comput. Sci. 171, 1419\u20131428 (2020)","journal-title":"Procedia Comput. Sci."},{"issue":"6","key":"13_CR14","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MCSE.2017.2421459","volume":"19","author":"JS Hale","year":"2017","unstructured":"Hale, J.S., Li, L., Richardson, C.N., Wells, G.N.: Containers for portable, productive, and performant scientific computing. Comput. Sci. Eng. 19(6), 40\u201350 (2017)","journal-title":"Comput. Sci. Eng."},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Mohammadi, M., Bazhirov, T.: Comparative benchmarking of cloud computing vendors with high performance Linpack. In: Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications - HP3C. ACM Press (2018)","DOI":"10.1145\/3195612.3195613"},{"issue":"16","key":"13_CR16","doi-asserted-by":"publisher","first-page":"7379","DOI":"10.3390\/app11167379","volume":"11","author":"O Bystrov","year":"2021","unstructured":"Bystrov, O., Pacevi\u010d, R., Ka\u010deniauskas, A.: Performance of communication- and computation-intensive SaaS on the OpenStack cloud. Appl. Sci. 11(16), 7379 (2021)","journal-title":"Appl. Sci."},{"issue":"8","key":"13_CR17","doi-asserted-by":"publisher","first-page":"1346","DOI":"10.1016\/j.jss.2010.01.009","volume":"83","author":"ZC Papazachos","year":"2010","unstructured":"Papazachos, Z.C., Karatza, H.D.: Performance evaluation of bag of gangs scheduling in a heterogeneous distributed system. J. Syst. Softw. 83(8), 1346\u20131354 (2010)","journal-title":"J. Syst. Softw."},{"issue":"2","key":"13_CR18","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1007\/s11227-010-0481-4","volume":"59","author":"IA Moschakis","year":"2010","unstructured":"Moschakis, I.A., Karatza, H.D.: Evaluation of gang scheduling performance and cost in a cloud computing system. J. Supercomput. 59(2), 975\u2013992 (2010)","journal-title":"J. Supercomput."},{"issue":"5","key":"13_CR19","doi-asserted-by":"publisher","first-page":"30","DOI":"10.9790\/3021-04573033","volume":"4","author":"K Sood","year":"2014","unstructured":"Sood, K.: Comparative study of scheduling mechanisms in cloud computing. IOSR J. Eng. 4(5), 30\u201333 (2014)","journal-title":"IOSR J. Eng."},{"issue":"3","key":"13_CR20","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1007\/s10922-014-9312-x","volume":"23","author":"Y Hao","year":"2014","unstructured":"Hao, Y., Liu, G., Hou, R., Zhu, Y., Lu, J.: Performance analysis of gang scheduling in a grid. J. Netw. Syst. Manage. 23(3), 650\u2013672 (2014)","journal-title":"J. Netw. Syst. Manage."},{"issue":"4","key":"13_CR21","doi-asserted-by":"publisher","first-page":"695","DOI":"10.31577\/cai_2020_4_695","volume":"39","author":"O Bystrov","year":"2020","unstructured":"Bystrov, O., et al.: Performance evaluation of parallel haemodynamic computations on heterogeneous clouds. Comput. Inform. 39(4), 695\u2013723 (2020)","journal-title":"Comput. Inform."},{"issue":"5","key":"13_CR22","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1016\/j.future.2011.04.017","volume":"28","author":"A Beloglazov","year":"2012","unstructured":"Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Futur. Gener. Comput. Syst. 28(5), 755\u2013768 (2012)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"3","key":"13_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3078811","volume":"50","author":"K O\u2019Brien","year":"2017","unstructured":"O\u2019Brien, K., Pietri, I., Reddy, R., Lastovetsky, A., Sakellariou, R.: A survey of power and energy predictive models in HPC systems and applications. ACM Comput. Surv. 50(3), 1\u201338 (2017)","journal-title":"ACM Comput. Surv."},{"issue":"7","key":"13_CR24","doi-asserted-by":"publisher","first-page":"1786","DOI":"10.1016\/j.future.2013.01.004","volume":"29","author":"M Malawski","year":"2013","unstructured":"Malawski, M., Figiela, K., Nabrzyski, J.: Cost minimization for computational applications on hybrid cloud infrastructures. Futur. Gener. Comput. Syst. 29(7), 1786\u20131794 (2013)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"13_CR25","series-title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-319-28910-6_5","volume-title":"Collaborative Computing: Networking, Applications, and Worksharing","author":"B Luo","year":"2016","unstructured":"Luo, B., Niu, Y., Liu, F.: Cost-effective service provisioning for hybrid cloud applications. In: Guo, S., Liao, X., Liu, F., Zhu, Y. (eds.) CollaborateCom 2015. LNICST, vol. 163, pp. 47\u201356. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-28910-6_5"},{"key":"13_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2019.08.004","volume":"100","author":"J Zhou","year":"2019","unstructured":"Zhou, J., Wang, T., Cong, P., Lu, P., Wei, T., Chen, M.: Cost and makespan-aware workflow scheduling in hybrid clouds. J. Syst. Architect. 100, 101631 (2019)","journal-title":"J. Syst. Architect."},{"key":"13_CR27","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1016\/j.future.2017.07.061","volume":"107","author":"TA Genez","year":"2020","unstructured":"Genez, T.A., Bittencourt, L.F., Madeira, E.R.: Time-discretization for speeding-up scheduling of deadline-constrained workflows in clouds. Futur. Gener. Comput. Syst. 107, 1116\u20131129 (2020)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"13_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2021.102311","volume":"109","author":"J Entrialgo","year":"2021","unstructured":"Entrialgo, J., Garc\u00eda, M., D\u00edaz, J.L., Garc\u00eda, J., Garc\u00eda, D.F.: Modelling and simulation for cost optimization and performance analysis of transactional applications in hybrid clouds. Simul. Model. Pract. Theory 109, 102311 (2021)","journal-title":"Simul. Model. Pract. Theory"},{"key":"13_CR29","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1016\/j.future.2021.07.030","volume":"125","author":"MJ Rosa","year":"2021","unstructured":"Rosa, M.J., Ralha, C.G., Holanda, M., Araujo, A.P.: Computational resource and cost prediction service for scientific workflows in federated clouds. Futur. Gener. Comput. Syst. 125, 844\u2013858 (2021)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"4","key":"13_CR30","doi-asserted-by":"publisher","first-page":"2809","DOI":"10.1007\/s10586-020-03048-8","volume":"23","author":"B Wang","year":"2020","unstructured":"Wang, B., Wang, C., Song, Y., Cao, J., Cui, X., Zhang, L.: A survey and taxonomy on workload scheduling and resource provisioning in hybrid clouds. Clust. Comput. 23(4), 2809\u20132834 (2020). https:\/\/doi.org\/10.1007\/s10586-020-03048-8","journal-title":"Clust. Comput."},{"issue":"1","key":"13_CR31","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1680\/geot.1979.29.1.47","volume":"29","author":"PA Cundall","year":"1979","unstructured":"Cundall, P.A., Strack, O.D.L.: A discrete numerical model for granular assemblies. G\u00e9otechnique 29(1), 47\u201365 (1979)","journal-title":"G\u00e9otechnique"},{"issue":"4","key":"13_CR32","first-page":"31","volume":"78","author":"L Tumonis","year":"2009","unstructured":"Tumonis, L., Schneider, M., Ka\u010dianauskas, R., Ka\u010deniauskas, A.: Comparison of dynamic behaviour of EMA-3 railgun under differently induced loadings. Mechanika 78(4), 31\u201337 (2009)","journal-title":"Mechanika"},{"issue":"3","key":"13_CR33","doi-asserted-by":"publisher","first-page":"363","DOI":"10.15388\/Informatica.2004.066","volume":"15","author":"A Ka\u010deniauskas","year":"2004","unstructured":"Ka\u010deniauskas, A., Rutschmann, P.: Parallel FEM software for CFD problems. Informatica 15(3), 363\u2013378 (2004)","journal-title":"Informatica"},{"issue":"13","key":"13_CR34","doi-asserted-by":"publisher","first-page":"1589","DOI":"10.1002\/nme.2953","volume":"84","author":"G Liu","year":"2010","unstructured":"Liu, G., Marshall, J.S., Li, S.Q., Yao, Q.: Discrete-element method for particle capture by a body in an electrostatic field. Int. J. Numer. Meth. Eng. 84(13), 1589\u20131612 (2010)","journal-title":"Int. J. Numer. Meth. Eng."},{"key":"13_CR35","first-page":"15","volume":"9","author":"L Tumonis","year":"2007","unstructured":"Tumonis, L., Ka\u010dianauskas, R., Ka\u010deniauskas, A., Schneider, M.: The transient behavior of rails used in electromagnetic railguns: numerical investigations at constant loading velocities. J. Vibroeng. 9, 15\u201317 (2007)","journal-title":"J. Vibroeng."},{"issue":"4","key":"13_CR36","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/PL00010918","volume":"3","author":"A D\u017eiugys","year":"2001","unstructured":"D\u017eiugys, A., Peters, B.: An approach to simulate the motion of spherical and non-spherical fuel particles in combustion chambers. Granul. Matter 3(4), 231\u2013266 (2001)","journal-title":"Granul. Matter"},{"issue":"12","key":"13_CR37","first-page":"1551","volume":"5","author":"GA Kohring","year":"1995","unstructured":"Kohring, G.A.: Studies of diffusional mixing in rotating drums via computer simulations. J. Phys. I 5(12), 1551\u20131561 (1995)","journal-title":"J. Phys. I"},{"key":"13_CR38","doi-asserted-by":"publisher","DOI":"10.1002\/9781119005315","volume-title":"Coupled CFD-DEM Modeling","author":"HR Norouzi","year":"2016","unstructured":"Norouzi, H.R., Zarghami, R., Sotudeh-Gharebagh, R., Mostoufi, N.: Coupled CFD-DEM Modeling. Wiley, Chichester (2016)"},{"issue":"5","key":"13_CR39","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.advengsoft.2011.02.007","volume":"42","author":"A Ka\u010deniauskas","year":"2011","unstructured":"Ka\u010deniauskas, A., Ka\u010dianauskas, R., Maknickas, A., Markauskas, D.: Computation and visualization of discrete particle systems on gLite-based grid. Adv. Eng. Softw. 42(5), 237\u2013246 (2011)","journal-title":"Adv. Eng. Softw."},{"issue":"2","key":"13_CR40","first-page":"63","volume":"82","author":"D \u0160e\u0161ok","year":"2010","unstructured":"\u0160e\u0161ok, D., Belevi\u010dius, R., Ka\u010deniauskas, A., Mockus, J.: Application of GRID computing for optimization of grillages. Mechanika 82(2), 63\u201369 (2010)","journal-title":"Mechanika"},{"issue":"4\u20135","key":"13_CR41","first-page":"317","volume":"69","author":"E Stupak","year":"2017","unstructured":"Stupak, E., et al.: The geometric model-based patient-specific simulations of turbulent aortic valve flows. Arch. Mech. 69(4\u20135), 317\u2013345 (2017)","journal-title":"Arch. Mech."},{"issue":"2","key":"13_CR42","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/5992.988653","volume":"4","author":"K Devine","year":"2002","unstructured":"Devine, K., Boman, E., Heaphy, R., Hendrickson, B., Vaughan, C.: Zoltan data management services for parallel dynamic applications. Comput. Sci. Eng. 4(2), 90\u201396 (2002)","journal-title":"Comput. Sci. Eng."},{"key":"13_CR43","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.powtec.2015.03.019","volume":"278","author":"R Berger","year":"2015","unstructured":"Berger, R., Kloss, C., Kohlmeyer, A., Pirker, S.: Hybrid parallelization of the LIGGGHTS open-source DEM code. Powder Technol. 278, 234\u2013247 (2015)","journal-title":"Powder Technol."},{"key":"13_CR44","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2016.06.012","volume":"103","author":"R Pacevi\u010d","year":"2017","unstructured":"Pacevi\u010d, R., Ka\u010deniauskas, A.: The development of VisLT visualization service in Openstack cloud infrastructure. Adv. Eng. Softw. 103, 46\u201356 (2017)","journal-title":"Adv. Eng. Softw."}],"container-title":["Lecture Notes in Computer Science","Parallel Processing and Applied Mathematics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-30442-2_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T10:03:29Z","timestamp":1682589809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-30442-2_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031304415","9783031304422"],"references-count":44,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-30442-2_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"28 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PPAM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Parallel Processing and Applied Mathematics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gdansk","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ppam2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ppam.edu.pl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"132","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"58% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}