{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:32:38Z","timestamp":1767339158441,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030882235"},{"type":"electronic","value":"9783030882242"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-88224-2_11","type":"book-chapter","created":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T18:38:17Z","timestamp":1633459097000},"page":"210-230","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["GLUME: A Strategy for Reducing Workflow Execution Times on Batch-Scheduled Platforms"],"prefix":"10.1007","author":[{"given":"Evan","family":"Hataishi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1992-3388","authenticated-orcid":false,"given":"Pierre-Fran\u00e7ois","family":"Dutot","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1720-0928","authenticated-orcid":false,"given":"Rafael Ferreira da","family":"Silva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6310-0365","authenticated-orcid":false,"given":"Henri","family":"Casanova","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,6]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Ahn, D., et al.: Flux: overcoming scheduling challenges for exascale workflows. In: Proceedings of the IEEE\/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), pp. 10\u201319 (November 2018)","DOI":"10.1109\/WORKS.2018.00007"},{"key":"11_CR2","unstructured":"Cooley Batch Scheduling Policies (2020). https:\/\/www.alcf.anl.gov\/support-center\/cooley\/job-scheduling-policies-cooley"},{"key":"11_CR3","unstructured":"Mira Batch Scheduling Policies (2019). https:\/\/www.alcf.anl.gov\/support-center\/miracetusvesta\/job-scheduling-policy-miracetusvesta, page cached at https:\/\/webcache.googleusercontent.com\/search?q=cache:4NqDg5gNq6MJ:www.alcf.anl.gov\/support-center\/miracetusvesta\/job-scheduling-policy-miracetusvesta+&cd=1&hl=en&ct=clnk&gl=us&client=firefox-b-1-d"},{"key":"11_CR4","unstructured":"Theta Batch Scheduling Policies (2020). https:\/\/www.alcf.anl.gov\/support-center\/theta\/job-scheduling-policy-theta"},{"key":"11_CR5","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.future.2017.05.041","volume":"75","author":"M Atkinson","year":"2017","unstructured":"Atkinson, M., Gesing, S., Montagnat, J., Taylor, I.: Scientific workflows: past, present and future. Futur. Gener. Comput. Syst. 75, 216\u201327 (2017)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"11_CR6","unstructured":"Batsim-compatible algorithms implemented in C++ (2017). https:\/\/gitlab.inria.fr\/batsim\/batsched"},{"key":"11_CR7","doi-asserted-by":"publisher","unstructured":"Casanova, H., et al.: Developing accurate and scalable simulators of production workflow management systems with WRENCH. Future Generation Comput. Syst. 112, 162\u2013175 (2020). https:\/\/doi.org\/10.1016\/j.future.2020.05.030","DOI":"10.1016\/j.future.2020.05.030"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Dutot, P.F., Mercier, M., Poquet, M., Richard, O.: Batsim: a realistic language-independent resources and jobs management systems simulator. In: Proceedings of the 20th Workshop on Job Scheduling Strategies for Parallel Processing (2016)","DOI":"10.1007\/978-3-319-61756-5_10"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Fox, W., Ghoshal, D., Souza, A., Rodrigo, G.P., Ramakrishnan, L.: E-HPC: a library for elastic resource management in HPC environments. In: Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, pp. 1\u201311 (2017)","DOI":"10.1145\/3150994.3150996"},{"key":"11_CR10","unstructured":"Hataishi, E.: Efficient Execution of Scientific Workflows on Batch-Scheduled Clusters. Master\u2019s thesis, University of Hawai\u2018i at M\u0101noa (2020)"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Lee, C., Schwartzman, Y., Hardy, J., Snavely, A.: Are user runtime estimates inherently inaccurate? In: Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing, pp. 253\u2013263 (2004)","DOI":"10.1007\/11407522_14"},{"issue":"4","key":"11_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3012429","volume":"49","author":"CS Liew","year":"2016","unstructured":"Liew, C.S., Atkinson, M.P., Galea, M., Ang, T.F., Martin, P., Hemert, J.I.V.: Scientific workflows: moving across paradigms. ACM Comput. Surv. 49(4), 1\u201339 (2016)","journal-title":"ACM Comput. Surv."},{"key":"11_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/3-540-60153-8_35","volume-title":"Job Scheduling Strategies for Parallel Processing","author":"DA Lifka","year":"1995","unstructured":"Lifka, D.A.: The ANL\/IBM SP scheduling system. In: Feitelson, D.G., Rudolph, L. (eds.) JSSPP 1995. LNCS, vol. 949, pp. 295\u2013303. Springer, Heidelberg (1995). https:\/\/doi.org\/10.1007\/3-540-60153-8_35"},{"issue":"4","key":"11_CR14","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1007\/s10723-015-9329-8","volume":"13","author":"J Liu","year":"2015","unstructured":"Liu, J., Pacitti, E., Valduriez, P., Mattoso, M.: A survey of data-intensive scientific workflow management. J. Grid Comput. 13(4), 457\u2013493 (2015)","journal-title":"J. Grid Comput."},{"issue":"6","key":"11_CR15","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1109\/71.932708","volume":"12","author":"AW Mu\u2019alem","year":"2001","unstructured":"Mu\u2019alem, A.W., Feitelson, D.G.: Utilization, predictability, workloads, and user runtime estimates in scheduling the IBM SP2 with backfilling. IEEE Trans. Parallel Distrib. Syst. 12(6), 529\u2013543 (2001)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"11_CR16","unstructured":"The OAR Scheduler (2020). http:\/\/oar.imag.fr"},{"key":"11_CR17","unstructured":"Parallel Workloads Archive (2020). https:\/\/www.cs.huji.ac.il\/labs\/parallel\/workload"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Rodrigo, G.P., Elmroth, E., \u00d6stberg, P.O., Ramakrishnan, L.: Enabling workflow-aware scheduling on HPC systems. In: Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, pp. 3\u201314 (2017)","DOI":"10.1145\/3078597.3078604"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Ferreira da Silva, R., Chen, W., Juve, G., Vahi, K., Deelman, E.: Community resources for enabling and evaluating research on scientific workflows. In: 10th IEEE International Conference on e-Science, pp. 177\u2013184. eScience 2014 (2014)","DOI":"10.1109\/eScience.2014.44"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Ferreira da Silva, R., Filgueira, R., Pietri, I., Jiang, M., Sakellariou, R., Deelman, E.: A characterization of workflow management systems for extreme-scale applications. Futur. Gener. Comput. Syst. 75, 228\u2013238 (2017)","DOI":"10.1016\/j.future.2017.02.026"},{"key":"11_CR21","unstructured":"Task-Clustering Batch Simulator (2020). https:\/\/github.com\/wrench-project\/task_clustering_batch_simulator"},{"key":"11_CR22","unstructured":"Slurm Resource Limits (2020). https:\/\/slurm.schedmd.com\/resource_limits.html"},{"key":"11_CR23","doi-asserted-by":"crossref","unstructured":"Sonmez, O., Yigitbasi, N., Abrishami, S., Iosup, A., Epema, D.: Performance analysis of dynamic workflow scheduling in multicluster grids. In: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, pp. 49\u201360 (2010)","DOI":"10.1145\/1851476.1851483"},{"issue":"2","key":"11_CR24","first-page":"24","volume":"29","author":"B Tovar","year":"2017","unstructured":"Tovar, B., et al.: A job sizing strategy for high-throughput scientific workflows. IEEE Trans. Parallel Distrib. Syst. 29(2), 24\u2013253 (2017)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"11_CR25","unstructured":"Pegasus Workflow Gallery (2020). https:\/\/pegasus.isi.edu\/workflow_gallery\/"},{"key":"11_CR26","doi-asserted-by":"crossref","unstructured":"Yoo, A.B., Jette, M.A., Grondona, M.: SLURM: simple linux utility for resource management. In: Proceedings of the 9th International Workshop on Job Scheduling Strategies for Parallel Processing, pp. 44\u201360 (June 2003)","DOI":"10.1007\/10968987_3"},{"key":"11_CR27","doi-asserted-by":"publisher","first-page":"864","DOI":"10.1007\/s11390-010-9371-8","volume":"25","author":"ZF Yu","year":"2010","unstructured":"Yu, Z.F., Shi, W.S.: Queue waiting time aware dynamic workflow scheduling in multicluster environments. J. Comput. Sci. Technol. 25, 864\u2013873 (2010)","journal-title":"J. Comput. Sci. Technol."},{"key":"11_CR28","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Koelbel, C., Cooper, K.: Batch queue resource scheduling for workflow applications. In: Proceedings of the IEEE International Conference on Cluster Computing, pp. 1\u201310 (2009)","DOI":"10.1109\/CLUSTR.2009.5289186"}],"container-title":["Lecture Notes in Computer Science","Job Scheduling Strategies for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-88224-2_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T10:16:56Z","timestamp":1725877016000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88224-2_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030882235","9783030882242"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88224-2_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"6 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"JSSPP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Workshop on Job Scheduling Strategies for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"jsspp2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/jsspp.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":"17","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":"10","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":"59% - 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":"3,4","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":"3","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)"}}]}}