{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T23:38:57Z","timestamp":1787269137709,"version":"build-2736575974"},"reference-count":94,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T00:00:00Z","timestamp":1652832000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T00:00:00Z","timestamp":1652832000000},"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":["Cluster Comput"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s10586-022-03613-3","type":"journal-article","created":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T03:03:05Z","timestamp":1652842985000},"page":"3845-3874","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Energy-aware scientific workflow scheduling in cloud environment"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9390-9827","authenticated-orcid":false,"given":"Anita","family":"Choudhary","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahesh Chandra","family":"Govil","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Girdhari","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lalit K.","family":"Awasthi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emmanuel S.","family":"Pilli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,5,18]]},"reference":[{"key":"3613_CR1","volume-title":"Mastering Cloud Computing: Foundations and Applications Programming","author":"R Buyya","year":"2013","unstructured":"Buyya, R., Vecchiola, C., Selvi, S.T.: Mastering Cloud Computing: Foundations and Applications Programming. Morgan Kaufmann, Burlington (2013)"},{"key":"3613_CR2","unstructured":"Buyya, R., Beloglazov, A., Abawajy, J.: Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computer Science and Software Engineering. The University of Melbourne, Australia, no.\u00a0Vm, pp. 1\u201312 (2010)"},{"key":"3613_CR3","unstructured":"Brown, R., Masanet, E., Nordman, B., Tschudi, B., Shehabi, A., Stanley, J., Koomey, J., Sartor, D., Chan, P., Loper, J., Capana, S., Hedman, B., Duff, R., Haines, E., Sass, D., Fanara, A.: Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431, Technical Report (2007)"},{"key":"3613_CR4","unstructured":"Koomey, J.G.: Growth in Data Center Electricity use 2005 to 2010, Ph.D. dissertation (2011)"},{"issue":"1","key":"3613_CR5","doi-asserted-by":"publisher","first-page":"117","DOI":"10.3390\/challe6010117","volume":"6","author":"A Andrae","year":"2015","unstructured":"Andrae, A., Edler, T.: On global electricity usage of communication technology: trends to 2030. Challenges 6(1), 117\u2013157 (2015)","journal-title":"Challenges"},{"key":"3613_CR6","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.simpat.2013.04.007","volume":"39","author":"T Merout","year":"2013","unstructured":"Merout, T., Monteil, T., Da Costa, G., Calheiros, R. Neves., Buyya, R., Alexandru, M., Gu\u00e9rout, T., Monteil, T., Da Costa, G., Calheiros, R. Neves., Buyya, R., Alexandru, M.: Energy-aware simulation with DVFS. Simul. Model. Pract. Theory 39, 76\u201391 (2013)","journal-title":"Simul. Model. Pract. Theory"},{"key":"3613_CR7","doi-asserted-by":"crossref","unstructured":"Cao, F., Zhu, Wu, C.Q.: Energy-Efficient Resource Management for Scientific Workflows in Clouds. In: 2014 IEEE World Congress on Services, pp. 402\u2013409 (2014)","DOI":"10.1109\/SERVICES.2014.76"},{"key":"3613_CR8","doi-asserted-by":"crossref","unstructured":"Hsu, C.H., Feng, W.C.: A feasibility analysis of power awareness in commodity-based high-performance clusters. In: IEEE International Conference on Cluster Computing, pp. 1\u201310 (2005)","DOI":"10.1109\/CLUSTR.2005.347063"},{"key":"3613_CR9","unstructured":"Hsu, C.H., Feng, W.C.: A Power-Aware Run-Time System for High-Performance Computing. In: ACM\/IEEE Conference on Supercomputing. IEEE, 2005, pp. 1\u20131 (2005)"},{"issue":"3","key":"3613_CR10","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1016\/j.future.2012.08.015","volume":"29","author":"G Juve","year":"2013","unstructured":"Juve, G., Chervenak, A., Deelman, E., Bharathi, S., Mehta, G., Vahi, K.: Characterizing and profiling scientific workflows. Fut. Gen. Comput. Syst. 29(3), 682\u2013692 (2013)","journal-title":"Fut. Gen. Comput. Syst."},{"key":"3613_CR11","doi-asserted-by":"crossref","unstructured":"da\u00a0Silva, 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: Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science, pp. 58\u201367 (2013)","DOI":"10.1145\/2534248.2534254"},{"issue":"5\u20136","key":"3613_CR12","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.parco.2006.06.006","volume":"32","author":"X Qin","year":"2006","unstructured":"Qin, X., Jiang, H.: A novel fault-tolerant scheduling algorithm for precedence constrained tasks in real-time heterogeneous systems. Parallel Comput. 32(5\u20136), 331\u2013356 (2006)","journal-title":"Parallel Comput."},{"key":"3613_CR13","volume-title":"Computers and Intractability: A Guide to the Theory of NP-Completeness","author":"MR Garey","year":"1991","unstructured":"Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman, San Francisco (1991)"},{"key":"3613_CR14","doi-asserted-by":"crossref","unstructured":"da\u00a0Silva, R., Juve, G., Deelman, E.: Toward fine-grained online task characteristics estimation in scientific workflows. In: Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science, pp. 58\u201367 (2013)","DOI":"10.1145\/2534248.2534254"},{"key":"3613_CR15","doi-asserted-by":"crossref","unstructured":"Chen, W., Deelman, E.: Workflow overhead analysis and optimizations. In: 6th workshop on Workflows in support of large-scale science, pp. 11\u201320 (2011)","DOI":"10.1145\/2110497.2110500"},{"key":"3613_CR16","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: Australasian Workshop on Grid Computing and e-Research 2005, pp. 41\u201348 (2005)"},{"key":"3613_CR17","doi-asserted-by":"crossref","unstructured":"Muthuvelu, N., Chai, I., Eswaran, C.: An adaptive and parameterized job grouping algorithm for scheduling grid jobs. In: International Conference on Advanced Communication Technology. IEEE, pp. 975\u2013980 (2008)","DOI":"10.1109\/ICACT.2008.4493929"},{"key":"3613_CR18","doi-asserted-by":"crossref","unstructured":"Muthuvelu, N., Chai, I., Chikkannan, E., Buyya, R.: On-Line Task Granularity Adaptation for Dynamic Grid Applications. In: 10th International Conference on Algorithms and Architectures for Parallel Processing. Springer, pp. 266\u2013277 (2010)","DOI":"10.1007\/978-3-642-13119-6_24"},{"issue":"1","key":"3613_CR19","doi-asserted-by":"publisher","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. Fut. Gen. Comput. Syst. 29(1), 170\u2013181 (2013)","journal-title":"Fut. Gen. Comput. Syst."},{"key":"3613_CR20","unstructured":"Ng, W., Keat, A.T., Fong, L.T., Chaw, L., Chee, S.: Scheduling framework for bandwidth-aware job grouping-based scheduling in grid computing. Technical Report 2 (2006)"},{"key":"3613_CR21","doi-asserted-by":"publisher","first-page":"372","DOI":"10.3923\/itj.2009.372.377","volume":"8","author":"TF Ang","year":"2009","unstructured":"Ang, T.F., Ng, W.K., Ling, T.C., Por, L.Y., Liew, C.S.: A bandwidth-aware job grouping-based scheduling on grid environment. Inf. Technol. J. 8, 372\u2013377 (2009)","journal-title":"Inf. Technol. J."},{"key":"3613_CR22","doi-asserted-by":"crossref","unstructured":"Liu, Q., Liao, Y.: Grouping-based fine-grained job scheduling in grid computing. In: First International Workshop on Education Technology and Computer Science, pp. 556\u2013559 (2009)","DOI":"10.1109\/ETCS.2009.132"},{"key":"3613_CR23","doi-asserted-by":"crossref","unstructured":"Singh, G., Su, M.-H., Vahi, K., Deelman, E., Berriman, B., Good, J., Katz, D., Mehta, G.: Workflow task clustering for best effort systems with Pegasus. In: 15th ACM Mardi Gras Conference, no.\u00a09. ACM, New York, pp. 1\u20138 (2008)","DOI":"10.1145\/1341811.1341822"},{"key":"3613_CR24","doi-asserted-by":"crossref","unstructured":"da\u00a0Silva, R.\u00a0F., Glatard, T., Desprez, F.: On-Line, Non-clairvoyant Optimization of Workflow Activity Granularity on Grids. In: 19th International Conference on Parallel Processing. Springer, Berlin, pp. 255\u2013266 (2013)","DOI":"10.1007\/978-3-642-40047-6_28"},{"key":"3613_CR25","doi-asserted-by":"crossref","unstructured":"Chen, W., Deelman, E.: orkflowSim: A toolkit for simulating scientific workflows in distributed environments. In: IEEE 8th International Conference on E-Science, pp. 1\u20138 (2012)","DOI":"10.1109\/eScience.2012.6404430"},{"issue":"1","key":"3613_CR26","first-page":"23","volume":"41","author":"RN Calheiros","year":"2011","unstructured":"Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A.F., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software 41(1), 23\u201350 (2011)","journal-title":"Software"},{"key":"3613_CR27","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.future.2014.09.014","volume":"46","author":"W Chen","year":"2015","unstructured":"Chen, W., Ferreira Da Silva, R., Deelman, E., Sakellariou, R.: Using imbalance metrics to optimize task clustering in scientific workflow executions. Fut. Gen. Comput. Syst. 46, 69\u201384 (2015)","journal-title":"Fut. Gen. Comput. Syst."},{"key":"3613_CR28","doi-asserted-by":"crossref","unstructured":"Chen, W., Silva, R.F.D., Deelman, E., Sakellariou, R.: Balanced Task Clustering in Scientific Workflows. In: IEEE 9th International Conference on e-Science. IEEE, pp. 188\u2013195 (2013)","DOI":"10.1109\/eScience.2013.40"},{"key":"3613_CR29","doi-asserted-by":"crossref","unstructured":"Mao, M., Humphrey, M.: Auto-scaling to minimize cost and meet application deadlines in cloud workflows. In: 2011 International Conference for High Performance Computing, pp. 1\u201312. Networking, Storage and Analysis (SC) (2011)","DOI":"10.1145\/2063384.2063449"},{"issue":"12","key":"3613_CR30","first-page":"22","volume":"50","author":"OM Elzeki","year":"2012","unstructured":"Elzeki, O.M., Reshad, M.Z., Elsoud, M.A.: Improved max\u2013min algorithm in cloud computing. Int. J. Comput. Appl. 50(12), 22\u201327 (2012)","journal-title":"Int. J. Comput. Appl."},{"key":"3613_CR31","doi-asserted-by":"crossref","unstructured":"Etminani, K., Naghibzadeh, M.: A Min-Min Max-Min selective algorithm for grid task scheduling. In: 3rd IEEE\/IFIP International Conference in Central Asia on Internet. IEEE, pp. 1\u20137 (2007)","DOI":"10.1109\/CANET.2007.4401694"},{"issue":"4","key":"3613_CR32","first-page":"259","volume":"2","author":"U Bhoi","year":"2013","unstructured":"Bhoi, U., Ramanuj, P.: Enhanced max\u2013min task scheduling algorithm in cloud computing. Int. J. Appl. Innov. Eng. Manag. 2(4), 259\u2013264 (2013)","journal-title":"Int. J. Appl. Innov. Eng. Manag."},{"issue":"2","key":"3613_CR33","first-page":"163","volume":"44","author":"W Lin","year":"2014","unstructured":"Lin, W., Liang, C., Wang, J.Z., Buyya, R.: Bandwidth-aware divisible task scheduling for cloud computing. Software 44(2), 163\u2013174 (2014)","journal-title":"Software"},{"issue":"8","key":"3613_CR34","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.1016\/j.future.2011.03.008","volume":"27","author":"X Wang","year":"2011","unstructured":"Wang, X., Yeo, C.S., Buyya, R., Su, J.: Optimizing the makespan and reliability for workflow applications with reputation and a look-ahead genetic algorithm. Fut. Gen. Comput. Syst. 27(8), 1124\u20131134 (2011)","journal-title":"Fut. Gen. Comput. Syst."},{"key":"3613_CR35","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.jpdc.2014.09.002","volume":"75","author":"L Zeng","year":"2015","unstructured":"Zeng, L., Veeravalli, B., Li, X.: SABA: a security-aware and budget-aware workflow scheduling strategy in clouds. J. Parallel Distrib. Comput. 75, 141\u2013151 (2015)","journal-title":"J. Parallel Distrib. Comput."},{"key":"3613_CR36","doi-asserted-by":"crossref","unstructured":"Xu, M., Cui, L., Wang, H., Bi, Y.: A multiple QoS constrained scheduling strategy of multiple workflows for cloud computing. In: Proceedings - 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications. ISPA 2009, pp. 629\u2013634 (2009)","DOI":"10.1109\/ISPA.2009.95"},{"key":"3613_CR37","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.future.2013.07.005","volume":"36","author":"JJ Durillo","year":"2013","unstructured":"Durillo, J.J., Nae, V., Prodan, R.: Multi-objective energy-efficient workflow scheduling using list-based heuristics. Fut. Gen. Comput. Syst. 36, 221\u2013236 (2013)","journal-title":"Fut. Gen. Comput. Syst."},{"issue":"February","key":"3613_CR38","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.knosys.2015.02.012","volume":"80","author":"YC Lee","year":"2015","unstructured":"Lee, Y.C., Han, H., Zomaya, A.Y., Yousif, M.: Resource-efficient workflow scheduling in clouds. Knowl.-Based Syst. 80(February), 153\u2013162 (2015)","journal-title":"Knowl.-Based Syst."},{"issue":"4","key":"3613_CR39","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1177\/1094342010369114","volume":"24","author":"K Liu","year":"2010","unstructured":"Liu, K., Jin, H., Chen, J., Liu, X., Yuan, D., Yang, Y., Liu, K., Jin, H., Chen, J., Liu, X., Yuan, D., Yang, Y., Liu, K., Jin, H., Chen, J., Liu, X., Yuan, D., Yang, Y.: A compromised-time-cost scheduling algorithm in SwinDeW-C for instance-intensive cost-constrained workflows on cloud computing platform. Int. J. High Perform. Comput. Appl. 24(4), 445\u2013456 (2010)","journal-title":"Int. J. High Perform. Comput. Appl."},{"issue":"8","key":"3613_CR40","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1016\/j.future.2011.05.001","volume":"27","author":"EK Byun","year":"2011","unstructured":"Byun, E.K., Kee, Y.S., Kim, J.S., Maeng, S.: Cost optimized provisioning of elastic resources for application workflows. Fut. Gen. Comput. Syst. 27(8), 1011\u20131026 (2011)","journal-title":"Fut. Gen. Comput. Syst."},{"issue":"3","key":"3613_CR41","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/s13174-011-0032-0","volume":"2","author":"LF Bittencourt","year":"2011","unstructured":"Bittencourt, L.F., Madeira, E.R.M.: HCOC: a cost optimization algorithm for workflow scheduling in hybrid clouds. J. Internet Serv. Appl. 2(3), 207\u2013227 (2011)","journal-title":"J. Internet Serv. Appl."},{"issue":"1","key":"3613_CR42","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.future.2012.05.004","volume":"29","author":"S Abrishami","year":"2013","unstructured":"Abrishami, S., Naghibzadeh, M., Epema, D.H.J.: Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds. Fut. Gen. Comput. Syst. 29(1), 158\u2013169 (2013)","journal-title":"Fut. Gen. Comput. Syst."},{"issue":"8","key":"3613_CR43","doi-asserted-by":"publisher","first-page":"1400","DOI":"10.1109\/TPDS.2011.303","volume":"23","author":"S Abrishami","year":"2012","unstructured":"Abrishami, S., Naghibzadeh, M., Epema, D.H.J.: Cost-driven scheduling of grid workflows using partial critical paths. IEEE Trans. Parallel Distrib. Syst. 23(8), 1400\u20131414 (2012)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"4","key":"3613_CR44","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1007\/s10723-013-9257-4","volume":"11","author":"W Zheng","year":"2013","unstructured":"Zheng, W., Sakellariou, R.: Budget-deadline constrained workflow planning for admission control. J. Grid Comput. 11(4), 633\u2013651 (2013)","journal-title":"J. Grid Comput."},{"key":"3613_CR45","doi-asserted-by":"crossref","unstructured":"Chopra, N., Singh, S.: Deadline and cost based workflow scheduling in hybrid cloud. In: Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013, pp. 840\u2013846 (2013)","DOI":"10.1109\/ICACCI.2013.6637285"},{"key":"3613_CR46","doi-asserted-by":"crossref","unstructured":"Li, Hongjia, Li, J., Yao, Wang, Nazarian, S., Lin, X., Wang, Y.: Fast and energy-aware resource provisioning and task scheduling for cloud systems. In: 18th International Symposium on Quality Electronic Design. IEEE, pp. 174\u2013179 (2017)","DOI":"10.1109\/ISQED.2017.7918312"},{"key":"3613_CR47","first-page":"1","volume":"1","author":"L Chen","year":"2017","unstructured":"Chen, L., Li, X., Ruiz, R.: Resource renting for periodical cloud workflow applications. IEEE Trans. Serv. Comput. 1, 1\u20131 (2017)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"3613_CR48","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.future.2016.06.029","volume":"78","author":"F Juarez","year":"2018","unstructured":"Juarez, F., Ejarque, J., Badia, R.M.: Dynamic energy-aware scheduling for parallel task-based application in cloud computing. Fut. Gen. Comput. Syst. 78, 257\u2013271 (2018)","journal-title":"Fut. Gen. Comput. Syst."},{"issue":"2","key":"3613_CR49","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/s13369-017-2739-0","volume":"43","author":"M Adhikari","year":"2018","unstructured":"Adhikari, M., Koley, S.: Cloud computing: a multi-workflow scheduling algorithm with dynamic reusability. Arab. J. Sci. Eng. 43(2), 645\u2013660 (2018)","journal-title":"Arab. J. Sci. Eng."},{"key":"3613_CR50","doi-asserted-by":"publisher","unstructured":"Manasrah, A.M., Ali, H.B.: Workflow Scheduling Using Hybrid GA-PSO Algorithm in Cloud Computing (2018). https:\/\/doi.org\/10.1155\/2018\/1934784","DOI":"10.1155\/2018\/1934784"},{"key":"3613_CR51","doi-asserted-by":"crossref","unstructured":"Pandey, S., Wu, L., Guru, S.M., Buyya, R.: A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments. In: Proceedings - International Conference on Advanced Information Networking and Applications (2010)","DOI":"10.1109\/AINA.2010.31"},{"key":"3613_CR52","doi-asserted-by":"crossref","unstructured":"Wu, Z., Ni, Z., Gu, L., Liu, X.: A Revised Discrete Particle Swarm Optimization for Cloud Workflow Scheduling. In: 2010 International Conference on Computational Intelligence and Security. IEEE, pp. 184\u2013188 (2010)","DOI":"10.1109\/CIS.2010.46"},{"key":"3613_CR53","doi-asserted-by":"crossref","unstructured":"Feller, E., Rilling, L., Morin, C.: Energy-Aware Ant Colony Based Workload Placement in Clouds. In: 2011 IEEE\/ACM 12th International Conference on Grid Computing. IEEE, pp. 26\u201333 (2011)","DOI":"10.1109\/Grid.2011.13"},{"key":"3613_CR54","unstructured":"Sawant, S.: A Genetic Algorithm Scheduling Approach for Virtual Machine Resources in a Cloud Computing Environment. Master\u2019s Projects (2011)"},{"key":"3613_CR55","unstructured":"Server, S.: StorageServers, Technical Report (2013). https:\/\/storageservers.wordpress.com\/"},{"key":"3613_CR56","unstructured":"Belady, C.L.: In the data center, power and cooling costs more than the it equipment it supports. http:\/\/www.electronics-cooling.com\/2007\/02\/in-the-data-center-power-and-cooling-costs-more-than-the-it-equipment-it-supports\/"},{"issue":"1","key":"3613_CR57","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1109\/MCC.2014.26","volume":"1","author":"K Bilal","year":"2014","unstructured":"Bilal, K., Malik, S.U.R., Khan, S.U., Zomaya, A.Y.: Trends and challenges in cloud datacenters. IEEE Cloud Comput. 1(1), 10\u201320 (2014)","journal-title":"IEEE Cloud Comput."},{"key":"3613_CR58","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.buildenv.2014.08.021","volume":"82","author":"B Whitehead","year":"2014","unstructured":"Whitehead, B., Andrews, D., Shah, A., Maidment, G.: Assessing the environmental impact of data centres part 1: background, energy use and metrics. Build. Environ. 82, 151\u2013159 (2014)","journal-title":"Build. Environ."},{"key":"3613_CR59","doi-asserted-by":"crossref","unstructured":"Mathew, V., Sitaraman, R.K., Shenoy, P.: Energy-aware load balancing in content delivery networks. In: Proceedings - IEEE INFOCOM, pp. 954\u2013962 (2012)","DOI":"10.1109\/INFCOM.2012.6195846"},{"key":"3613_CR60","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.comcom.2014.02.008","volume":"50","author":"W Van Heddeghem","year":"2014","unstructured":"Van Heddeghem, W., Lambert, S., Lannoo, B., Colle, D., Pickavet, M., Demeester, P.: Trends in worldwide ICT electricity consumption from 2007 to 2012. Comput. Commun. 50, 64\u201376 (2014)","journal-title":"Comput. Commun."},{"issue":"11","key":"3613_CR61","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MC.2005.380","volume":"38","author":"K Cameron","year":"2005","unstructured":"Cameron, K., Ge, R., Rong, F., Xizhou, X.: High-performance, power-aware distributed computing for scientific applications. Computer 38(11), 40\u201347 (2005)","journal-title":"Computer"},{"key":"3613_CR62","unstructured":"Srikantaiah, S., Kansal, A., Zhao, F.: Energy Aware Consolidation for Cloud Computing. In: Power Aware Computing and Systems (2008)"},{"key":"3613_CR63","doi-asserted-by":"crossref","unstructured":"Beloglazov, A., Buyya, R.: Energy Efficient Resource Management in Virtualized Cloud Data Centers. In: 10th IEEE\/ACM International Conference on Cluster, Cloud and Grid Computing. IEEE, USA, pp. 826\u2013831 (2010)","DOI":"10.1109\/CCGRID.2010.46"},{"key":"3613_CR64","doi-asserted-by":"crossref","unstructured":"Duy, T.\u00a0V.\u00a0T., Sato, Y., Inoguchi, Y.: Performance evaluation of a Green Scheduling Algorithm for energy savings in Cloud computing. In: 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Ph.D. Forum (IPDPSW). IEEE, pp. 1\u20138 (2010)","DOI":"10.1109\/IPDPSW.2010.5470908"},{"issue":"10","key":"3613_CR65","first-page":"716","volume":"4","author":"J Li","year":"2011","unstructured":"Li, J., Peng, J., Lei, Z., Zhang, W.: An energy-efficient scheduling approach based on private clouds. Comput. Eng. 4(10), 716\u2013724 (2011)","journal-title":"Comput. Eng."},{"key":"3613_CR66","doi-asserted-by":"crossref","unstructured":"Madani, N., Lebbat, A., Tallal, S., Medromi, H.: New cloud consolidation architecture for electrical energy consumption management. In: Africon. IEEE, 2013, pp. 1\u20133 (2013)","DOI":"10.1109\/AFRCON.2013.6757808"},{"issue":"6","key":"3613_CR67","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1007\/s00607-015-0474-5","volume":"98","author":"L Salimian","year":"2016","unstructured":"Salimian, L., Esfahani, F.S., Nadimi-Shahraki, M.-H.: An adaptive fuzzy threshold-based approach for energy and performance efficient consolidation of virtual machines. Computing 98(6), 641\u2013660 (2016)","journal-title":"Computing"},{"key":"3613_CR68","doi-asserted-by":"crossref","unstructured":"Monil, M.A.H., Qasim, R., Rahman, R.M.: Energy-aware VM consolidation approach using combination of heuristics and migration control. In: 2014 Ninth International Conference on Digital Information Management (ICDIM), pp. 74\u201379 (2014)","DOI":"10.1109\/ICDIM.2014.6991413"},{"key":"3613_CR69","doi-asserted-by":"crossref","unstructured":"Farahnakian, F., Liljeberg, P., Plosila, J.: LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers. In: 2013 39th Euromicro Conference on Software Engineering and Advanced Applications. IEEE, pp. 357\u2013364 (2013)","DOI":"10.1109\/SEAA.2013.23"},{"key":"3613_CR70","doi-asserted-by":"crossref","unstructured":"Farahnakian, F., Liljeberg, P., Plosila, J.: Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers Using Reinforcement Learning. In: 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. IEEE, pp. 500\u2013507 (2014)","DOI":"10.1109\/PDP.2014.109"},{"issue":"2","key":"3613_CR71","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s10723-015-9327-x","volume":"13","author":"V Ebrahimirad","year":"2015","unstructured":"Ebrahimirad, V., Goudarzi, M., Rajabi, A.: Energy-aware scheduling for precedence-constrained parallel virtual machines in virtualized data centers. J. Grid Comput. 13(2), 233\u2013253 (2015)","journal-title":"J. Grid Comput."},{"key":"3613_CR72","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/j.future.2015.08.006","volume":"56","author":"M Abdullahi","year":"2016","unstructured":"Abdullahi, M., Ngadi, M.A., Abdulhamid, S.M.: Symbiotic Organism Search optimization based task scheduling in cloud computing environment. Fut. Gen. Comput. Syst. 56, 640\u2013650 (2016)","journal-title":"Fut. Gen. Comput. Syst."},{"issue":"4","key":"3613_CR73","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/s10723-017-9391-5","volume":"15","author":"J Jiang","year":"2017","unstructured":"Jiang, J., Lin, Y., Xie, G., Fu, L., Yang, J.: Time and energy optimization algorithms for the static scheduling of multiple workflows in heterogeneous computing system. J. Grid Comput. 15(4), 435\u2013456 (2017)","journal-title":"J. Grid Comput."},{"key":"3613_CR74","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/B978-0-12-813314-9.00008-6","volume-title":"Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications","author":"M Sharma","year":"2018","unstructured":"Sharma, M., Verma, A., Sangaiah, A.K.: Energy-Constrained Workflow Scheduling in Cloud Using E-DSOS Algorithm. In: Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, pp. 159\u2013169. Academic Press, New York (2018)"},{"issue":"2","key":"3613_CR75","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1109\/JSYST.2014.2315823","volume":"10","author":"J Shuja","year":"2016","unstructured":"Shuja, J., Bilal, K., Madani, S.A., Othman, M., Ranjan, R., Balaji, P., Khan, S.U.: Survey of techniques and architectures for designing energy-efficient data centers. IEEE Syst. J. 10(2), 507\u2013519 (2016)","journal-title":"IEEE Syst. J."},{"key":"3613_CR76","doi-asserted-by":"crossref","unstructured":"Mangalampalli, S., Pokkuluri, K.S., Kocherla, R., Rapaka, A., Kota, N.R.: An Efficient Workflow Scheduling Algorithm in Cloud Computing Using Cuckoo Search and PSO Algorithms, pp. 137\u2013145 (2022). https:\/\/link.springer.com\/chapter\/10.1007\/978-981-16-8987-1_15","DOI":"10.1007\/978-981-16-8987-1_15"},{"issue":"2","key":"3613_CR77","first-page":"200","volume":"15","author":"M Uddin","year":"2013","unstructured":"Uddin, M., Shah, A., Alsaqour, R., Memon, J.: Measuring efficiency of tier level data centers to implement green energy efficient data centers. Middle East J. Sci. Res. 15(2), 200\u2013207 (2013)","journal-title":"Middle East J. Sci. Res."},{"issue":"12","key":"3613_CR78","doi-asserted-by":"publisher","first-page":"1725","DOI":"10.1016\/j.jpdc.2012.07.006","volume":"72","author":"Y Ma","year":"2012","unstructured":"Ma, Y., Gong, B., Sugihara, R., Gupta, R.: Energy-efficient deadline scheduling for heterogeneous systems. J. Parallel Distrib. Comput. 72(12), 1725\u20131740 (2012)","journal-title":"J. Parallel Distrib. Comput."},{"key":"3613_CR79","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/978-3-540-28642-4_2","volume-title":"Computing Grid. Pegasus: Mapping Scientific Workflows onto the Grid","author":"E Deelman","year":"2004","unstructured":"Deelman, E., Blythe, J., Gil, Y., Kesselman, C., Mehta, G., Patil, S., Su, M.-H., Vahi, K., Livny, M.: Computing Grid. Pegasus: Mapping Scientific Workflows onto the Grid, pp. 11\u201320. Springer, Berlin (2004)"},{"key":"3613_CR80","doi-asserted-by":"crossref","unstructured":"Kolpe, T., Zhai, A., Sapatnekar, S.S.: Enabling improved power management in multicore processors through clustered DVFS. In: Design , Automation & Test in Europe, pp. 1\u20136 (2011)","DOI":"10.1109\/DATE.2011.5763052"},{"key":"3613_CR81","unstructured":"Choosing an App Engine Environment\u2014App Engine Documentation | Google Cloud Platform. https:\/\/cloud.google.com\/appengine\/docs\/the-appengine-environments"},{"key":"3613_CR82","unstructured":"EC2 Instance Types \u2013 Amazon Web Services (AWS). https:\/\/aws.amazon.com\/ec2\/instance-types\/"},{"key":"3613_CR83","unstructured":"Intro to Microsoft Azure \u2014 Microsoft Azure. https:\/\/azure.microsoft.com\/en-in\/documentation\/articles\/fundamentals-introduction-to-azure\/"},{"key":"3613_CR84","unstructured":"IBM - Cloud Computing for Builders & Innovators. http:\/\/www.ibm.com\/cloud-computing\/"},{"key":"3613_CR85","doi-asserted-by":"crossref","unstructured":"Hoffa, C., Mehta, G., Freeman, T., Deelman, E., Keahey, K., Berriman, B., Good, J.: On the use of cloud computing for scientific workflows. In: 2008 IEEE Fourth International Conference on eScience. IEEE, pp. 640\u2013645 (2008)","DOI":"10.1109\/eScience.2008.167"},{"key":"3613_CR86","doi-asserted-by":"crossref","unstructured":"Juve, G., Deelman, E., Vahi, K., Mehta, G., Berman, B.P., Berriman, B., Maechling, P.: Scientific workflow applications on amazon EC2. In: e-science 2009 - Proceedings of the 2009 5th IEEE International Conference on e-Science Workshops (2009)","DOI":"10.1109\/ESCIW.2009.5408002"},{"issue":"3","key":"3613_CR87","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1177\/1094342009356432","volume":"24","author":"E Deelman","year":"2010","unstructured":"Deelman, E.: Grids and clouds: making workflow applications work in heterogeneous distributed environments. Int. J. High Perform. Comput. Appl. 24(3), 284\u2013298 (2010)","journal-title":"Int. J. High Perform. Comput. Appl."},{"key":"3613_CR88","unstructured":"Energy Optimizers Ltd (Plogg) \u2014 VentureRadar. https:\/\/www.ventureradar.com\/organisation\/Energy Optimizers Ltd (Plogg)\/ffa1e019-6226-43a7-977d-5d3d9a3a03a4"},{"issue":"13","key":"3613_CR89","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1002\/cpe.1867","volume":"24","author":"A Beloglazov","year":"2012","unstructured":"Beloglazov, A., Buyya, R.: Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers. Concurr. Comput. Pract. Exp. 24(13), 1397\u20131420 (2012)","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"3613_CR90","doi-asserted-by":"crossref","unstructured":"Bharathi, S., Chervenak, A., Deelman, E., Mehta, G., Su, M.-H., Vahi, K.: Characterization of scientific workflows. In: 2008 Third Workshop on Workflows in Support of Large-Scale Science. IEEE, pp. 1\u201310 (2008)","DOI":"10.1109\/WORKS.2008.4723958"},{"key":"3613_CR91","doi-asserted-by":"crossref","unstructured":"Berriman, G.B., Deelman, E., Good, J.C., Jacob, J.C., Katz, D.S., Kesselman, C., Laity, A.C., Prince, T.A., Singh, G., Su, M.-H.: Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand. In: Optimizing Scientific Return for Astronomy Through Information Technologies, vol. 5493 (2004)","DOI":"10.1117\/12.550551"},{"issue":"3\u20134","key":"3613_CR92","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/s00024-010-0161-6","volume":"168","author":"R Graves","year":"2011","unstructured":"Graves, R., Jordan, T.H., Callaghan, S., Deelman, E., Field, E., Juve, G., Kesselman, C., Maechling, P., Mehta, G., Milner, K., Okaya, D., Small, P., Vahi, K.: CyberShake: a physics-based seismic hazard model for southern California. Pure Appl. Geophys. 168(3\u20134), 367\u2013381 (2011)","journal-title":"Pure Appl. Geophys."},{"key":"3613_CR93","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/978-1-84628-757-2_4","volume-title":"Workflows for e-Science","author":"DA Brown","year":"2007","unstructured":"Brown, D.A., Brady, P.R., Dietz, A., Cao, J., Johnson, B., McNabb, J.: A case study on the use of workflow technologies for scientific analysis: gravitational wave data analysis. In: Workflows for e-Science, pp. 39\u201359. Springer, London (2007)"},{"key":"3613_CR94","unstructured":"SIPHT. http:\/\/pegasus.isi.edu\/applications\/sipht"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-022-03613-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-022-03613-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-022-03613-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T05:23:37Z","timestamp":1727241817000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-022-03613-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,18]]},"references-count":94,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["3613"],"URL":"https:\/\/doi.org\/10.1007\/s10586-022-03613-3","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,18]]},"assertion":[{"value":"6 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 May 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}