{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T22:56:32Z","timestamp":1779922592739,"version":"3.53.1"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031396977","type":"print"},{"value":"9783031396984","type":"electronic"}],"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\/978-3-031-39698-4_14","type":"book-chapter","created":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T06:02:40Z","timestamp":1692770560000},"page":"199-213","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["INSTANT: A Runtime Framework to\u00a0Orchestrate In-Situ Workflows"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8505-5208","authenticated-orcid":false,"given":"Feng","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7382-093X","authenticated-orcid":false,"given":"Fengguang","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,8,24]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Bennett, J.C., Abbasi, H., Bremer, P.-T., et al.: Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, SC 2012, pp. 1\u20139. IEEE (2012)","DOI":"10.1109\/SC.2012.31"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Sewell, C., Heitmann, K., Finkel, H., et al.: Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1\u201311 (2015)","DOI":"10.1145\/2807591.2807663"},{"issue":"6","key":"14_CR3","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1177\/1094342020935991","volume":"34","author":"H Childs","year":"2020","unstructured":"Childs, H., Ahern, S.D., Ahrens, J., et al.: A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6), 576\u2013691 (2020)","journal-title":"Int. J. High Perform. Comput. Appl."},{"key":"14_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.softx.2020.100561","volume":"12","author":"WF Godoy","year":"2020","unstructured":"Godoy, W.F., Podhorszki, N., Wang, R., et al.: ADIOS 2: the adaptable input output system. A framework for high-performance data management. SoftwareX 12, 100561 (2020)","journal-title":"SoftwareX"},{"key":"14_CR5","unstructured":"Jasak, H., Jemcov, A., Tukovic, Z\u030c.: OpenFOAM: a C++ library for complex physics simulations. In: International Workshop on Coupled Methods in Numerical Dynamics, Dubrovnik, Croatia, p. 20. IUC (2007)"},{"issue":"1","key":"14_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1006\/jcph.1995.1039","volume":"117","author":"S Plimpton","year":"1995","unstructured":"Plimpton, S.: Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117(1), 1\u201319 (1995)","journal-title":"J. Comput. Phys."},{"issue":"14","key":"14_CR7","doi-asserted-by":"crossref","DOI":"10.1002\/cpe.6519","volume":"34","author":"K Mehta","year":"2021","unstructured":"Mehta, K., Allen, B., Wolf, M., et al.: A codesign framework for online data analysis and reduction. Concurr. Comput.: Pract. Experience 34(14), e6519 (2021)","journal-title":"Concurr. Comput.: Pract. Experience"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Chen, J., Guan, Q., Zhang, Z., et al.: BeeFlow: a workflow management system for in situ processing across HPC and cloud systems. In: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), pp. 1029\u20131038. IEEE (2018)","DOI":"10.1109\/ICDCS.2018.00103"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Do, T.M.A., et al.: Accelerating scientific workflows on HPC platforms with in situ processing. In: 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp. 1\u201310 (2022)","DOI":"10.1109\/CCGrid54584.2022.00009"},{"issue":"4","key":"14_CR10","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MCSE.2019.2918766","volume":"21","author":"O Yildiz","year":"2019","unstructured":"Yildiz, O., Ejarque, J., Chan, H., Sankaranarayanan, S., Badia, R.M., Peterka, T.: Heterogeneous hierarchical workflow composition. Comput. Sci. Eng. 21(4), 76\u201386 (2019)","journal-title":"Comput. Sci. Eng."},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Dreher, M., Peterka, T.: Decaf: decoupled dataflows for in situ high-performance workflows. (ANL\/MCS-TM-371) (2017)","DOI":"10.2172\/1372113"},{"key":"14_CR12","unstructured":"ORNL. ADIOS2 HeatTransfer workflow. http:\/\/github.com\/ornladios\/ADIOS2\/blob\/release_28\/examples\/heatTransfer\/ReadMe.md"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Fu, Y., Li, F., Song, F., Chen, Z.: Performance analysis and optimization of in-situ integration of simulation with data analysis: zipping applications up. In: Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2018, pp. 192\u2013205. ACM (2018)","DOI":"10.1145\/3208040.3208049"},{"key":"14_CR14","unstructured":"IBM. IBM ILOG CPLEX Optimization Studio OPL Language User\u2019s Manual. Technical Report Version 12 Release 8 (2017)"},{"issue":"2","key":"14_CR15","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/s10601-018-9281-x","volume":"23","author":"P Laborie","year":"2018","unstructured":"Laborie, P., Rogerie, J., Shaw, P., Vil\u00edm, P.: IBM ILOG CP optimizer for scheduling. Constraints 23(2), 210\u2013250 (2018)","journal-title":"Constraints"},{"issue":"3","key":"14_CR16","doi-asserted-by":"publisher","first-page":"591","DOI":"10.5194\/gmd-4-591-2011","volume":"4","author":"J Mandel","year":"2011","unstructured":"Mandel, J., Beezley, J.D., Kochanski, A.K.: Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011. Geosci. Model Dev. 4(3), 591\u2013610 (2011)","journal-title":"Geosci. Model Dev."},{"key":"14_CR17","unstructured":"Laufer, M., Fredj, E.: High performance parallel I\/O and in-situ analysis in the WRF model with ADIOS2. arXiv preprint arXiv:2201.08228 (2022)"},{"issue":"16","key":"14_CR18","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4703","volume":"31","author":"F Li","year":"2019","unstructured":"Li, F., Song, F.: Building a scientific workflow framework to enable real-time machine learning and visualization. Concurr. Comput.: Pract. Experience 31(16), e4703 (2019)","journal-title":"Concurr. Comput.: Pract. Experience"},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Fabian, N., Moreland, K., et al.: The ParaView coprocessing library: a scalable, general purpose in situ visualization library. In: 2011 IEEE Symposium on Large Data Analysis and Visualization, pp. 89\u201396 (2011)","DOI":"10.1109\/LDAV.2011.6092322"},{"key":"14_CR20","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.future.2014.10.008","volume":"46","author":"E Deelman","year":"2015","unstructured":"Deelman, E., Vahi, K., et al.: Pegasus, a workflow management system for science automation. Futur. Gener. Comput. Syst. 46, 17\u201335 (2015)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"11","key":"14_CR21","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1002\/cpe.994","volume":"18","author":"B Lud\u00e4scher","year":"2006","unstructured":"Lud\u00e4scher, B., Altintas, I., Berkley, C., et al.: Scientific workflow management and the Kepler system. Concurr. Comput.: Pract. Experience 18(11), 1039\u20131065 (2006)","journal-title":"Concurr. Comput.: Pract. Experience"},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Gamblin, T., LeGendre, M., Collette, M.R., et al.: The Spack package manager: bringing order to HPC software chaos. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1\u201312 (2015)","DOI":"10.1145\/2807591.2807623"}],"container-title":["Lecture Notes in Computer Science","Euro-Par 2023: Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39698-4_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T06:04:45Z","timestamp":1692770685000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39698-4_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031396977","9783031396984"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39698-4_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"24 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Euro-Par","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"europar2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.euro-par.org\/","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":"164","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":"49","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":"30% - 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":"3.98","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":"4","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}