{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T21:05:49Z","timestamp":1784581549516,"version":"3.55.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031975721","type":"print"},{"value":"9783031975738","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-97573-8_12","type":"book-chapter","created":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T04:43:55Z","timestamp":1751517835000},"page":"168-182","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Scheduling in Workflow-as-a-Service Model with Pre-parameterized DAG Using Inaccurate Estimates"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1484-2255","authenticated-orcid":false,"given":"Victor","family":"Toporkov","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9359-8245","authenticated-orcid":false,"given":"Dmitry","family":"Yemelyanov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Artem","family":"Bulkhak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,4]]},"reference":[{"key":"12_CR1","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1007\/s10723-024-09745-7","volume":"22","author":"K Karmakar","year":"2024","unstructured":"Karmakar, K., Tarafdar, A., Das, R.K., et al.: Cost-efficient workflow as a service using containers. J. Grid Comput. 22, 40 (2024). https:\/\/doi.org\/10.1007\/s10723-024-09745-7","journal-title":"J. Grid Comput."},{"key":"12_CR2","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1007\/s10723-023-09676-9","volume":"21","author":"B Taghavi","year":"2023","unstructured":"Taghavi, B., Zolfaghari, B., Abrishami, S.: A cost-efficient workflow as a service broker using on-demand and spot instances. J Grid Comput. 21, 40 (2023). https:\/\/doi.org\/10.1007\/s10723-023-09676-9","journal-title":"J Grid Comput."},{"key":"12_CR3","doi-asserted-by":"publisher","unstructured":"Tarafdar, A., Karmakar, K., Khatua, S., Das, R.K.: Energy-efficient scheduling of deadline-sensitive and budget-constrained workflows in the cloud. In: Goswami, D., Hoang, T.A. (eds.) ICDCIT 2021. LNCS, vol. 12582, pp. 65\u201380. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-65621-8_4","DOI":"10.1007\/978-3-030-65621-8_4"},{"issue":"12","key":"12_CR4","doi-asserted-by":"publisher","first-page":"14525","DOI":"10.1007\/s11227-021-03858-6","volume":"77","author":"E Saeedizade","year":"2021","unstructured":"Saeedizade, E., Ashtiani, M.: DDBWS: a dynamic deadline and budget-aware workflow scheduling algorithm in workflow-as-a-service environments. J. Supercomput. 77(12), 14525\u201314564 (2021)","journal-title":"J. Supercomput."},{"issue":"1","key":"12_CR5","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1007\/s11227-019-03033-y","volume":"76","author":"Y Qin","year":"2020","unstructured":"Qin, Y., Wang, H., Yi, S., Li, X., Zhai, L.: An energy-aware scheduling algorithm for budget-constrained scientific workflows based on multi-objective reinforcement learning. J. Supercomput. 76(1), 455\u2013480 (2020)","journal-title":"J. Supercomput."},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Hilman, M.H., Rodriguez, M.A., Buyya, R.: Workflow-as-a-service cloud platform and deployment of bioinformatics workflow applications (2020). 30 p. https:\/\/www.researchgate.net\/scientific-contributions\/Maria-A-Rodriguez-2114894132","DOI":"10.1201\/9781003001188-14"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Tarafdar, A., Karmakar, K., Das, R.K., Khatua, S.: Multi-criteria scheduling of scientific workflows in the workflow as a service platform. Comput. Electr. Eng. 105, 108458 (2023)","DOI":"10.1016\/j.compeleceng.2022.108458"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"De Maio, V., Kimovski, D.: Multi-objective scheduling of extreme data scientific workflows in Fog. Future Gener. Comput. Syst. 106, 171\u2013184 (2020)","DOI":"10.1016\/j.future.2019.12.054"},{"key":"12_CR9","doi-asserted-by":"publisher","unstructured":"Li, H., Wang, Y., Huang, J., Fan, Y.: Mutation and dynamic objective-based farmland fertility algorithm for workflow scheduling in the cloud. J. Parallel Distrib. Comput. 164, 69\u201382 (2022). https:\/\/doi.org\/10.1016\/j.jpdc.2022.02.005","DOI":"10.1016\/j.jpdc.2022.02.005"},{"key":"12_CR10","doi-asserted-by":"publisher","unstructured":"Gu, Y., Cao, J., Qian, S., Zhu, N., Guan, W.: MANSOR: a module alignment method based on neighbor information for scientific workflow. Concurr. Comput. Pract. Exp. 36(10), e7736 (2024). https:\/\/doi.org\/10.1002\/cpe.7736","DOI":"10.1002\/cpe.7736"},{"issue":"1","key":"12_CR11","doi-asserted-by":"publisher","first-page":"4649","DOI":"10.1002\/dac.4649","volume":"34","author":"Z Ahmad","year":"2021","unstructured":"Ahmad, Z., Nazir, B., Umer, A.: A fault-tolerant workflow management system with quality-of-service-aware scheduling for scientific workflows in cloud computing. Int. J. Commun. Syst. 34(1), 4649 (2021)","journal-title":"Int. J. Commun. Syst."},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Burkat, B., et al.: Serverless containers\u2013rising viable approach to scientific workflows. In: 17th International Conference on eScience (eScience), pp. 40\u201349. IEEE (2021)","DOI":"10.1109\/eScience51609.2021.00014"},{"key":"12_CR13","doi-asserted-by":"publisher","unstructured":"Karmakar, K., Das, R.K., Khatua, S.: Resource scheduling for tasks of a workflow in cloud environment. In: Hung, D., D\u2019Souza, M. (eds.) ICDCIT 2020. LNCS, vol. 11969, pp. 214\u2013226. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-36987-3_13","DOI":"10.1007\/978-3-030-36987-3_13"},{"issue":"12","key":"12_CR14","doi-asserted-by":"publisher","first-page":"7646","DOI":"10.1109\/TII.2020.2985030","volume":"16","author":"R Ranjan","year":"2020","unstructured":"Ranjan, R., Thakur, I.S., Aujla, G.S., Kumar, N., Zomaya, A.Y.: Energy-efficient workflow scheduling using container-based virtualization in software-defined data centers. IEEE Trans. Ind. Inform. 16(12), 7646\u20137657 (2020)","journal-title":"IEEE Trans. Ind. Inform."},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Silva, R.F., Pottier, L., Coleman, T., Deelman, E., Casanova, H.: WorkflowHub: community framework for enabling scientific workflow research and development. In: 2020 IEEE\/ACM Workflows in Support of Large-Scale Science (WORKS), pp. 49\u201356. IEEE (2020)","DOI":"10.1109\/WORKS51914.2020.00012"},{"key":"12_CR16","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.1007\/s11277-022-09621-1","volume":"125","author":"R Medara","year":"2022","unstructured":"Medara, R., Singh, R.S.: A review on energy-aware scheduling techniques for workflows in IaaS clouds. Wirel. Pers. Commun. 125, 1545\u20131584 (2022). https:\/\/doi.org\/10.1007\/s11277-022-09621-1","journal-title":"Wirel. Pers. Commun."},{"key":"12_CR17","unstructured":"Amstutz, P., Mikheev, M., Crusoe, M.R., Tijani\u0107, N., Lampa, S., et al.: Existing Workflow systems. Common Workflow Language wiki, GitHub (2024). https:\/\/s.apache.org\/existing-workflow-systems. Accessed 18 Aug 2024"},{"key":"12_CR18","doi-asserted-by":"publisher","unstructured":"Toporkov, V., Yemelyanov, D.: Micro-scheduling for dependable resources allocation. In: Bocewicz, G., Pempera, J., Toporkov, V. (eds.) Performance Evaluation Models for Distributed Service Networks. SSDC, vol. 343, pp. 79\u2013103. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-67063-4_5","DOI":"10.1007\/978-3-030-67063-4_5"},{"key":"12_CR19","doi-asserted-by":"publisher","unstructured":"Toporkov, V., Yemelyanov, D., Bulkhak, A., Pirogova, M.: Job batch scheduling in\u00a0workflow-as-a-service platforms. In: Sokolinsky, L., Zymbler, M., Voevodin, V., Dongarra, J. (eds.) PCT 2024. CCIS, vol. 2241, pp. 65\u201379. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-73372-7_5","DOI":"10.1007\/978-3-031-73372-7_5"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2025 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-97573-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T04:44:02Z","timestamp":1751517842000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-97573-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031975721","9783031975738"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-97573-8_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"4 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}