{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T15:26:24Z","timestamp":1776785184082,"version":"3.51.2"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319694702","type":"print"},{"value":"9783319694719","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-69471-9_26","type":"book-chapter","created":{"date-parts":[[2017,10,20]],"date-time":"2017-10-20T10:03:44Z","timestamp":1508493824000},"page":"352-366","source":"Crossref","is-referenced-by-count":3,"title":["Optimization of Cloud Workflow Scheduling Based on Balanced Clustering"],"prefix":"10.1007","author":[{"given":"Lei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongjin","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongsheng","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,21]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Da Silva, R.F., Juve, G., Deelman, E., Glatard, T., Desprez, F., Thain, D., Tovar, B., Livny, M.: Toward fine-grained online task characteristics estimation in scientific workflows. In: WORKS@ SC, pp. 58\u201367 (2013)","DOI":"10.1145\/2534248.2534254"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Stratan, C., Iosup, A., Epema, D.H.: A performance study of grid workflow engines. In: Proceedings of IEEE\/ACM 9th International Conference on Grid Computing, pp. 25\u201332. IEEE Computer Society (2008)","DOI":"10.1109\/GRID.2008.4662779"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Chen, W., Deelman, E.: Workflow overhead analysis and optimizations. In: Proceedings of the 6th workshop on Workflows in Support of Large-Scale Science, pp. 11\u201320. ACM (2011)","DOI":"10.1145\/2110497.2110500"},{"key":"26_CR4","unstructured":"Muthuvelu, N., Liu, J., Soe, N.L., Venugopal, S., Sulistio, A., Buyya, R.: A dynamic job grouping-based scheduling for deploying applications with fine-grained tasks on global grids. In: Proceedings of the 2005 Australasian Workshop on Grid Computing and e-Research, vol. 44, pp. 41\u201348. Australian Computer Society, Inc. (2005)"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Muthuvelu, N., Chai, I., Eswaran, C.: An adaptive and parameterized job grouping algorithm for scheduling grid jobs. In: Proceedings of ICACT 10th International Conference on Advanced Communication Technology, pp. 975\u2013980. IEEE (2008)","DOI":"10.1109\/ICACT.2008.4493929"},{"key":"26_CR6","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.future.2012.03.022","volume":"29","author":"N Muthuvelu","year":"2013","unstructured":"Muthuvelu, N., Vecchiola, C., Chai, I., Chikkannan, E., Buyya, R.: Task granularity policies for deploying bag-of-task applications on global grids. Future Gener. Comput. Syst. 29, 170\u2013181 (2013)","journal-title":"Future Gener. Comput. Syst."},{"key":"26_CR7","doi-asserted-by":"crossref","first-page":"372","DOI":"10.3923\/itj.2009.372.377","volume":"8","author":"T Ang","year":"2009","unstructured":"Ang, T., Ng, W., Ling, T., Por, L., Liew, C.: A bandwidth-aware job grouping-based scheduling on grid environment. Inf. Technol. J. 8, 372\u2013377 (2009)","journal-title":"Inf. Technol. J."},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Liu, Q., Liao, Y.: Grouping-based fine-grained job scheduling in grid computing. In: Proceedings of the 1st International Workshop on Education Technology and Computer Science, ETCS 2009, pp. 556\u2013559. IEEE (2009)","DOI":"10.1109\/ETCS.2009.132"},{"key":"26_CR9","unstructured":"Zhao, E., Qi, Y., Xiang, X., Chen, Y.: A data placement strategy based on genetic algorithm for scientific workflows. In: Proceedings of 2012 8th International Conference on Computational Intelligence and Security (CIS), pp. 146\u2013149. IEEE (2012)"},{"key":"26_CR10","doi-asserted-by":"crossref","first-page":"2523","DOI":"10.1002\/cpe.3084","volume":"25","author":"K Deng","year":"2013","unstructured":"Deng, K., Ren, K., Song, J., Yuan, D., Xiang, Y., Chen, J.: A clustering based coscheduling strategy for efficient scientific workflow execution in cloud computing. Concurrency Comput. Pract. Exp. 25, 2523\u20132539 (2013)","journal-title":"Concurrency Comput. Pract. Exp."},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Li, X., Zhang, L., Wu, Y., Liu, X., Zhu, E., Yi, H., Wang, F., Zhang, C., Yang, Y.: A novel workflow-level data placement strategy for data-sharing scientific cloud workflows. IEEE Trans. Serv. Comput., 1 (2016)","DOI":"10.1109\/TSC.2016.2625247"},{"key":"26_CR12","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.future.2014.09.014","volume":"46","author":"W Chen","year":"2015","unstructured":"Chen, W., da Silva, R.F., Deelman, E., Sakellariou, R.: Using imbalance metrics to optimize task clustering in scientific workflow executions. Future Gener. Comput. Syst. 46, 69\u201384 (2015)","journal-title":"Future Gener. Comput. Syst."},{"key":"26_CR13","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.future.2016.05.008","volume":"64","author":"J Sahni","year":"2016","unstructured":"Sahni, J., Vidyarthi, D.P.: Workflow-and-platform aware task clustering for scientific workflow execution in cloud environment. Future Gener. Comput. Syst. 64, 61\u201374 (2016)","journal-title":"Future Gener. Comput. Syst."},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Chen, W., Da Silva, R.F., Deelman, E., Sakellariou, R.: Balanced task clustering in scientific workflows. In: Proceedings of IEEE 9th International Conference on E-Science (e-Science), pp. 188\u2013195. IEEE (2013)","DOI":"10.1109\/eScience.2013.40"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Chen, W., Deelman, E.: Workflowsim: a toolkit for simulating scientific workflows in distributed environments. In: Proceedings of IEEE 8th International Conference on E-Science (e-Science), pp. 1\u20138. IEEE (2012)","DOI":"10.1109\/eScience.2012.6404430"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Bharathi, S., Chervenak, A., Deelman, E., Mehta, G., Su, M.-H., Vahi, K.: Characterization of scientific workflows. In: Proceedings of the third Workshop on Workflows in Support of Large-Scale Science, pp. 1\u201310. IEEE (2008)","DOI":"10.1109\/WORKS.2008.4723958"}],"container-title":["Lecture Notes in Computer Science","Cyberspace Safety and Security"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-69471-9_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T13:08:58Z","timestamp":1508764138000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-69471-9_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319694702","9783319694719"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-69471-9_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}