{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T01:37:34Z","timestamp":1778549854440,"version":"3.51.4"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030656201","type":"print"},{"value":"9783030656218","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,12,12]],"date-time":"2020-12-12T00:00:00Z","timestamp":1607731200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,12,12]],"date-time":"2020-12-12T00:00:00Z","timestamp":1607731200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-65621-8_4","type":"book-chapter","created":{"date-parts":[[2020,12,11]],"date-time":"2020-12-11T12:32:07Z","timestamp":1607689927000},"page":"65-80","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Energy-Efficient Scheduling of Deadline-Sensitive and Budget-Constrained Workflows in the Cloud"],"prefix":"10.1007","author":[{"given":"Anurina","family":"Tarafdar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kamalesh","family":"Karmakar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunirmal","family":"Khatua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajib K.","family":"Das","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,12,12]]},"reference":[{"key":"4_CR1","unstructured":"How to stop data centres from gobbling up the world\u2019s electricity (2018). https:\/\/www.nature.com\/articles\/d41586-018-06610-y. Accessed 6 Jul 2020"},{"issue":"4","key":"4_CR2","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1007\/s10723-014-9294-7","volume":"12","author":"H Arabnejad","year":"2014","unstructured":"Arabnejad, H., Barbosa, J.G.: A budget constrained scheduling algorithm for workflow applications. J. Grid Comput. 12(4), 665\u2013679 (2014)","journal-title":"J. Grid Comput."},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Bharathi, S., Chervenak, A., Deelman, E., Mehta, G., Su, M.H., Vahi, K.: Characterization of scientific workflows. In: 2008 3rd Workshop on Workflows in Support of Large-Scale Science, pp. 1\u201310. IEEE (2008)","DOI":"10.1109\/WORKS.2008.4723958"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Chen, H., Zhu, X., Qiu, D., Guo, H., Yang, L.T., Lu, P.: EONS: minimizing energy consumption for executing real-time workflows in virtualized cloud data centers. In: 2016 45th International Conference on Parallel Processing Workshops (ICPPW), pp. 385\u2013392. IEEE (2016)","DOI":"10.1109\/ICPPW.2016.60"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Chen, W., Deelman, E.: WorkflowSim: a toolkit for simulating scientific workflows in distributed environments. In: 2012 IEEE 8th International Conference on E-science, pp. 1\u20138. IEEE (2012)","DOI":"10.1109\/eScience.2012.6404430"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Karmakar, K., Das, R.K., Khatua, S.: Resource scheduling of workflow tasks in cloud environment. In: 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1\u20136. IEEE (2019)","DOI":"10.1109\/ANTS47819.2019.9118150"},{"key":"4_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1007\/978-3-030-36987-3_13","volume-title":"Distributed Computing and Internet Technology","author":"K Karmakar","year":"2020","unstructured":"Karmakar, K., Das, R.K., Khatua, S.: Resource scheduling for tasks of a workflow in cloud environment. In: Hung, D.V., 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"},{"issue":"4","key":"4_CR8","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1109\/TSC.2015.2466545","volume":"11","author":"Z Li","year":"2015","unstructured":"Li, Z., Ge, J., Hu, H., Song, W., Hu, H., Luo, B.: Cost and energy aware scheduling algorithm for scientific workflows with deadline constraint in clouds. IEEE Trans. Serv. Comput. 11(4), 713\u2013726 (2015)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Mathew, T., Sekaran, K.C., Jose, J.: Study and analysis of various task scheduling algorithms in the cloud computing environment. In: 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 658\u2013664. IEEE (2014)","DOI":"10.1109\/ICACCI.2014.6968517"},{"issue":"1","key":"4_CR10","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1007\/s11227-019-03033-y","volume":"76","author":"Y Qin","year":"2019","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 (2019). https:\/\/doi.org\/10.1007\/s11227-019-03033-y","journal-title":"J. Supercomput."},{"issue":"4","key":"4_CR11","doi-asserted-by":"publisher","first-page":"3185","DOI":"10.1007\/s10586-020-03079-1","volume":"23","author":"N Rizvi","year":"2020","unstructured":"Rizvi, N., Ramesh, D.: Fair budget constrained workflow scheduling approach for heterogeneous clouds. Clust. Comput. 23(4), 3185\u20133201 (2020). https:\/\/doi.org\/10.1007\/s10586-020-03079-1","journal-title":"Clust. Comput."},{"key":"4_CR12","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.future.2019.02.019","volume":"96","author":"GL Stavrinides","year":"2019","unstructured":"Stavrinides, G.L., Karatza, H.D.: An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFs and approximate computations. Fut. Gener. Comput. Syst. 96, 216\u2013226 (2019)","journal-title":"Fut. Gener. Comput. Syst."},{"issue":"1","key":"4_CR13","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10723-015-9334-y","volume":"14","author":"Z Tang","year":"2016","unstructured":"Tang, Z., Qi, L., Cheng, Z., Li, K., Khan, S.U., Li, K.: An energy-efficient task scheduling algorithm in DVFs-enabled cloud environment. J. Grid Comput. 14(1), 55\u201374 (2016)","journal-title":"J. Grid Comput."},{"issue":"2","key":"4_CR14","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1109\/TCC.2014.2358220","volume":"3","author":"CQ Wu","year":"2014","unstructured":"Wu, C.Q., Lin, X., Yu, D., Xu, W., Li, L.: End-to-end delay minimization for scientific workflows in clouds under budget constraint. IEEE Trans. Cloud Comput. 3(2), 169\u2013181 (2014)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"5","key":"4_CR15","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.1109\/TPDS.2015.2446459","volume":"27","author":"Z Zhu","year":"2015","unstructured":"Zhu, Z., Zhang, G., Li, M., Liu, X.: Evolutionary multi-objective workflow scheduling in cloud. IEEE Trans. Parallel Distrib. Syst. 27(5), 1344\u20131357 (2015)","journal-title":"IEEE Trans. Parallel Distrib. Syst."}],"container-title":["Lecture Notes in Computer Science","Distributed Computing and Internet Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-65621-8_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:22:58Z","timestamp":1607991778000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-65621-8_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,12]]},"ISBN":["9783030656201","9783030656218"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-65621-8_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,12]]},"assertion":[{"value":"12 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICDCIT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Distributed Computing and Internet Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bhubaneswar","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 January 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 January 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdcit2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icdcit.ac.in\/17th-icdcit-2021\/","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":"99","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":"13","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":"4","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":"13% - 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":"2.5","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":"6","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)"}}]}}