{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:27:09Z","timestamp":1777890429626,"version":"3.51.4"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T00:00:00Z","timestamp":1718755200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T00:00:00Z","timestamp":1718755200000},"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":["Cluster Comput"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s10586-024-04610-4","type":"journal-article","created":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T10:03:08Z","timestamp":1719914588000},"page":"12899-12917","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An effective partition-based framework for virtual machine migration in cloud services"],"prefix":"10.1007","volume":"27","author":[{"given":"Liji","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siwei","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunzhi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,19]]},"reference":[{"issue":"3","key":"4610_CR1","doi-asserted-by":"publisher","first-page":"1578","DOI":"10.1109\/TSC.2020.3002755","volume":"15","author":"B Fei","year":"2022","unstructured":"Fei, B., Zhu, X., Liu, D., Chen, J., Bao, W., Liu, L.: Elastic resource provisioning using data clustering in cloud service platform. IEEE Trans. Serv. Comput. 15(3), 1578\u20131591 (2022). https:\/\/doi.org\/10.1109\/TSC.2020.3002755","journal-title":"IEEE Trans. Serv. Comput."},{"key":"4610_CR2","doi-asserted-by":"crossref","unstructured":"Singh, G., Gupta, P.: A review on migration techniques and challenges in live virtual machine migration. In: 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), IEEE, pp. 542\u2013546 (2016)","DOI":"10.1109\/ICRITO.2016.7785015"},{"key":"4610_CR3","doi-asserted-by":"publisher","first-page":"41731","DOI":"10.1109\/ACCESS.2021.3065308","volume":"9","author":"DA Shafiq","year":"2021","unstructured":"Shafiq, D.A., Jhanjhi, N.Z., Abdullah, A., Alzain, M.A.: A load balancing algorithm for the data centres to optimize cloud computing applications. IEEE Access 9, 41731\u201341744 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3065308","journal-title":"IEEE Access"},{"key":"4610_CR4","doi-asserted-by":"publisher","first-page":"94697","DOI":"10.1109\/ACCESS.2020.2995393","volume":"8","author":"HA Alharbi","year":"2020","unstructured":"Alharbi, H.A., Elgorashi, T.E., Elmirghani, J.M.: Energy efficient virtual machines placement over cloud-fog network architecture. IEEE Access 8, 94697\u201394718 (2020)","journal-title":"IEEE Access"},{"issue":"24","key":"4610_CR5","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4290","volume":"29","author":"A Zhou","year":"2017","unstructured":"Zhou, A., Wang, S., Hsu, C.-H., Kim, M.H., Wong, K.-S.: Network failure-aware redundant virtual machine placement in a cloud data center. Concurr. Comput. Pract. Exp. 29(24), e4290 (2017)","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"4610_CR6","doi-asserted-by":"publisher","first-page":"38195","DOI":"10.1109\/ACCESS.2019.2905870","volume":"7","author":"J Mateo-Fornes","year":"2019","unstructured":"Mateo-Fornes, J., Solsona-Tehas, F., Vilaplana-Mayoral, J., Teixido-Torrelles, I., Rius-Torrent\u00f3, J.: Cart, a decision sla model for saas providers to keep qos regarding availability and performance. IEEE Access 7, 38195\u201338204 (2019)","journal-title":"IEEE Access"},{"key":"4610_CR7","doi-asserted-by":"crossref","unstructured":"Gustriansyah, R., Suhandi, N., Antony, F. and Sanmorino, A.: Single exponential smoothing method to predict sales multiple products. In: Journal of Physics: Conference Series, Vol. 1175, No. 1, p. 012036. IOP Publishing (2019)","DOI":"10.1088\/1742-6596\/1175\/1\/012036"},{"key":"4610_CR8","doi-asserted-by":"publisher","unstructured":"Jain, M.B., Nigam, M.K., Tiwari, P.C.: Curve fitting and regression line method based seasonal short term load forecasting. In: World Congress on Information and Communication Technologies 2012, 332\u2013337 (2012). https:\/\/doi.org\/10.1109\/WICT.2012.6409098","DOI":"10.1109\/WICT.2012.6409098"},{"key":"4610_CR9","doi-asserted-by":"publisher","unstructured":"Stefanovici, I., Thereska, E., O\u2019Shea, G., Schroeder, B., Ballani, H., Karagiannis, T., Rowstron, A., Talpey, T.: Software-defined caching: managing caches in multi-tenant data centers. In: Proceedings of the Sixth ACM Symposium on Cloud Computing, Association for Computing Machinery, pp.\u00a0174-181. (2015)https:\/\/doi.org\/10.1145\/2806777.2806933","DOI":"10.1145\/2806777.2806933"},{"key":"4610_CR10","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1155\/2014\/973069","volume":"2014","author":"G Liu","year":"2014","unstructured":"Liu, G., Gong, B., Xing, C., Jian, Y.: A virtual machine migration strategy based on time series workload prediction using cloud model. Math. Probl. Eng. 2014, 11 (2014). https:\/\/doi.org\/10.1155\/2014\/973069","journal-title":"Math. Probl. Eng."},{"issue":"4","key":"4610_CR11","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1109\/TGCN.2017.2725488","volume":"1","author":"G Portaluri","year":"2017","unstructured":"Portaluri, G., Adami, D., Gabbrielli, A., Giordano, S.: Power consumption-aware virtual machine placement in cloud data center. IEEE Trans. Green Commun. Netw. 1(4), 541\u2013550 (2017)","journal-title":"IEEE Trans. Green Commun. Netw."},{"key":"4610_CR12","doi-asserted-by":"publisher","first-page":"3019","DOI":"10.32604\/cmc.2022.019836","volume":"71","author":"T Alyas","year":"2021","unstructured":"Alyas, T., Javed, I., Namoun, A., Tufail, A., Alshmrany, S., Tabassum, N.: Live migration of virtual machines using a mamdani fuzzy inference system. Comput. Mater. Contin. 71, 3019\u20133033 (2021). https:\/\/doi.org\/10.32604\/cmc.2022.019836","journal-title":"Comput. Mater. Contin."},{"issue":"2","key":"4610_CR13","doi-asserted-by":"publisher","first-page":"1817","DOI":"10.1109\/TNSM.2022.3213575","volume":"20","author":"W Wei","year":"2023","unstructured":"Wei, W., Gu, H., Wang, K., Li, J., Zhang, X., Wang, N.: Multi-dimensional resource allocation in distributed data centers using deep reinforcement learning. IEEE Trans. Netw. Serv. Manag. 20(2), 1817\u20131829 (2023). https:\/\/doi.org\/10.1109\/TNSM.2022.3213575","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"issue":"4","key":"4610_CR14","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1002\/spe.2635","volume":"49","author":"M Duggan","year":"2019","unstructured":"Duggan, M., Shaw, R., Duggan, J., Howley, E., Barrett, E.: A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers. Softw. Pract. Exp. 49(4), 617\u2013639 (2019)","journal-title":"Softw. Pract. Exp."},{"key":"4610_CR15","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.future.2023.04.014","volume":"146","author":"W Yao","year":"2023","unstructured":"Yao, W., Wang, Z., Hou, Y., Zhu, X., Li, X., Xia, Y.: An energy-efficient load balance strategy based on virtual machine consolidation in cloud environment. Futur. Gener. Comput. Syst. 146, 222\u2013233 (2023)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"4610_CR16","volume":"29","author":"O Alrajeh","year":"2021","unstructured":"Alrajeh, O., Forshaw, M., Thomas, N.: Using virtual machine live migration in trace-driven energy-aware simulation of high-throughput computing systems. Sustain. Comput. Inform. Syst. 29, 100468 (2021)","journal-title":"Sustain. Comput. Inform. Syst."},{"key":"4610_CR17","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10212581","author":"E Zharikov","year":"2021","unstructured":"Zharikov, E., Telenyk, S.: Performance analysis of a dynamic virtual machine management method based on the power-aware integral estimation. Electronics (2021). https:\/\/doi.org\/10.3390\/electronics10212581","journal-title":"Electronics"},{"issue":"14","key":"4610_CR18","first-page":"5342","volume":"12","author":"M Bahrami","year":"2021","unstructured":"Bahrami, M., Haghighat, A., Gholipour, M.: The reduce energy consumption in cloud computing data centres by optimizing virtual machines. Turk. J. Comput. Math. Educ. 12(14), 5342\u20135350 (2021)","journal-title":"Turk. J. Comput. Math. Educ."},{"issue":"9","key":"4610_CR19","doi-asserted-by":"publisher","first-page":"1865","DOI":"10.3390\/sym14091865","volume":"14","author":"J Yang","year":"2022","unstructured":"Yang, J., Zhang, G.: Dynamic dual-threshold virtual machine merging method based on three-way decision. Symmetry 14(9), 1865 (2022)","journal-title":"Symmetry"},{"issue":"11","key":"4610_CR20","doi-asserted-by":"publisher","first-page":"2711","DOI":"10.1007\/s00607-021-00981-3","volume":"103","author":"SE Motaki","year":"2021","unstructured":"Motaki, S.E., Yahyaouy, A., Gualous, H.: A prediction-based model for virtual machine live migration monitoring in a cloud datacenter. Computing 103(11), 2711\u20132735 (2021)","journal-title":"Computing"},{"key":"4610_CR21","doi-asserted-by":"publisher","first-page":"3029","DOI":"10.1007\/s10586-020-03067-5","volume":"23","author":"M Jalali Moghaddam","year":"2020","unstructured":"Jalali Moghaddam, M., Esmaeilzadeh, A., Ghavipour, M., Zadeh, A.K.: Minimizing virtual machine migration probability in cloud computing environments. Clust. Comput. 23, 3029\u20133038 (2020)","journal-title":"Clust. Comput."},{"issue":"3","key":"4610_CR22","first-page":"138","volume":"11","author":"KA Sultanpure","year":"2018","unstructured":"Sultanpure, K.A., Reddy, L.S.S.: Job scheduling for energy efficiency using artificial bee colony through virtualization. Int. J. Intell. Eng. Syst. 11(3), 138\u2013148 (2018)","journal-title":"Int. J. Intell. Eng. Syst."},{"key":"4610_CR23","doi-asserted-by":"crossref","unstructured":"Zaw, E.P.: Machine learning based live vm migration for efficient cloud data center. In: Big Data Analysis and Deep Learning Applications: Proceedings of the First International Conference on Big Data Analysis and Deep Learning 1st, Springer, pp.\u00a0130\u2013138 (2019)","DOI":"10.1007\/978-981-13-0869-7_15"},{"key":"4610_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-023-04001-1","author":"RM Haris","year":"2023","unstructured":"Haris, R.M., Khan, K.M., Nhlabatsi, A., Barhamgi, M.: A machine learning-based optimization approach for pre-copy live virtual machine migration. Clust. Comput. (2023). https:\/\/doi.org\/10.1007\/s10586-023-04001-1","journal-title":"Clust. Comput."},{"key":"4610_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-021-03953-8","author":"J Lu","year":"2022","unstructured":"Lu, J., Zhao, W., Zhu, H., Li, J., Cheng, Z., Xiao, G.: Optimal machine placement based on improved genetic algorithm in cloud computing. J. Supercomput. (2022). https:\/\/doi.org\/10.1007\/s11227-021-03953-8","journal-title":"J. Supercomput."},{"key":"4610_CR26","doi-asserted-by":"publisher","first-page":"1991","DOI":"10.1109\/COMST.2023.3273121","volume":"25","author":"N Toumi","year":"2023","unstructured":"Toumi, N., Bagaa, M., Ksentini, A.: Machine learning for service migration: a survey. IEEE Commun. Surv. Tutor. 25, 1991\u20132020 (2023)","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"5","key":"4610_CR27","doi-asserted-by":"publisher","first-page":"2479","DOI":"10.1007\/s10586-020-03221-z","volume":"26","author":"X Fu","year":"2023","unstructured":"Fu, X., Sun, Y., Wang, H., Li, H.: Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm. Clust. Comput. 26(5), 2479\u20132488 (2023)","journal-title":"Clust. Comput."},{"key":"4610_CR28","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.compeleceng.2017.12.032","volume":"69","author":"A Satpathy","year":"2018","unstructured":"Satpathy, A., Addya, S.K., Turuk, A.K., Majhi, B., Sahoo, G.: Crow search based virtual machine placement strategy in cloud data centers with live migration. Comput. Electr. Eng. 69, 334\u2013350 (2018)","journal-title":"Comput. Electr. Eng."},{"key":"4610_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2021.100213","volume":"25","author":"A Satpathy","year":"2021","unstructured":"Satpathy, A., Sahoo, M.N., Mishra, A., Majhi, B., Rodrigues, J.J., Bakshi, S.: A service sustainable live migration strategy for multiple virtual machines in cloud data centers. Big Data Res. 25, 100213 (2021)","journal-title":"Big Data Res."},{"key":"4610_CR30","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1007\/s00521-014-1804-9","volume":"26","author":"K-M Cho","year":"2015","unstructured":"Cho, K.-M., Tsai, P.-W., Tsai, C.-W., Yang, C.-S.: A hybrid meta-heuristic algorithm for vm scheduling with load balancing in cloud computing. Neural Comput. Appl. 26, 1297\u20131309 (2015)","journal-title":"Neural Comput. Appl."},{"issue":"7","key":"4610_CR31","doi-asserted-by":"publisher","first-page":"2046","DOI":"10.1109\/TPDS.2016.2641937","volume":"28","author":"S Rampersaud","year":"2016","unstructured":"Rampersaud, S., Grosu, D.: Sharing-aware online virtual machine packing in heterogeneous resource clouds. IEEE Trans. Parallel Distrib. Syst. 28(7), 2046\u20132059 (2016)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"2","key":"4610_CR32","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1109\/TCC.2014.2310452","volume":"2","author":"X Zhu","year":"2014","unstructured":"Zhu, X., Yang, L.T., Chen, H., Wang, J., Yin, S., Liu, X.: Real-time tasks oriented energy-aware scheduling in virtualized clouds. IEEE Trans. Cloud Comput. 2(2), 168\u2013180 (2014)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"4610_CR33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/computers5010001","volume":"5","author":"A Mosa","year":"2016","unstructured":"Mosa, A., Paton, N.W.: Optimizing virtual machine placement for energy and sla in clouds using utility functions, Journal of Cloud. Computing 5, 1\u201317 (2016)","journal-title":"Computing"},{"key":"4610_CR34","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1016\/j.future.2019.05.036","volume":"100","author":"X Ruan","year":"2019","unstructured":"Ruan, X., Chen, H., Tian, Y., Yin, S.: Virtual machine allocation and migration based on performance-to-power ratio in energy-efficient clouds. Futur. Gener. Comput. Syst. 100, 380\u2013394 (2019)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"3","key":"4610_CR35","doi-asserted-by":"publisher","first-page":"1604","DOI":"10.1109\/TSC.2022.3206417","volume":"16","author":"D Saxena","year":"2023","unstructured":"Saxena, D., Singh, A.K.: A high availability management model based on vm significance ranking and resource estimation for cloud applications. IEEE Trans. Serv. Comput. 16(3), 1604\u20131615 (2023). https:\/\/doi.org\/10.1109\/TSC.2022.3206417","journal-title":"IEEE Trans. Serv. Comput."},{"key":"4610_CR36","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1007\/s42235-019-0030-7","volume":"16","author":"MJ Usman","year":"2019","unstructured":"Usman, M.J., Ismail, A.S., Chizari, H., Abdul-Salaam, G.: Energy-efficient virtual machine allocation technique using flower pollination algorithm in cloud datacenter: a panacea to green computing. J. Bionic Eng. 16, 354\u2013366 (2019)","journal-title":"J. Bionic Eng."},{"issue":"2","key":"4610_CR37","first-page":"3349","volume":"70","author":"S Talwani","year":"2022","unstructured":"Talwani, S., Alhazmi, K., Singla, J., Alyamani, H.J., Bashir, A.K.: Allocation and migration of virtual machines using machine learning. Comput. Mater. Contin. 70(2), 3349\u20133364 (2022)","journal-title":"Comput. Mater. Contin."},{"issue":"6","key":"4610_CR38","doi-asserted-by":"publisher","first-page":"4031","DOI":"10.1007\/s10586-022-03795-w","volume":"26","author":"J Wang","year":"2023","unstructured":"Wang, J., Yu, J., Song, Y., He, X., Song, Y.: An efficient energy-aware and service quality improvement strategy applied in cloud computing. Clust. Comput. 26(6), 4031\u20134049 (2023)","journal-title":"Clust. Comput."},{"issue":"1","key":"4610_CR39","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1186\/s13677-022-00309-2","volume":"11","author":"J Wang","year":"2022","unstructured":"Wang, J., Gu, H., Yu, J., Song, Y., He, X., Song, Y.: Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform. J. Cloud Comput. 11(1), 50 (2022)","journal-title":"J. Cloud Comput."},{"key":"4610_CR40","doi-asserted-by":"publisher","first-page":"62990","DOI":"10.1109\/ACCESS.2020.2985234","volume":"8","author":"B Gul","year":"2020","unstructured":"Gul, B., Khan, I.A., Mustafa, S., Khalid, O., Hussain, S.S., Dancey, D., Nawaz, R.: Cpu and ram energy-based sla-aware workload consolidation techniques for clouds. IEEE Access 8, 62990\u201363003 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2985234","journal-title":"IEEE Access"},{"key":"4610_CR41","doi-asserted-by":"crossref","unstructured":"Jo, C., Cho, Y., Egger, B.: A machine learning approach to live migration modeling. In: Proceedings of the 2017 Symposium on Cloud Computing, pp. 351\u2013364 (2017)","DOI":"10.1145\/3127479.3129262"},{"issue":"13","key":"4610_CR42","doi-asserted-by":"publisher","first-page":"6117","DOI":"10.3390\/s23136117","volume":"23","author":"A Kaur","year":"2023","unstructured":"Kaur, A., Kumar, S., Gupta, D., Hamid, Y., Hamdi, M., Ksibi, A., Elmannai, H., Saini, S.: Algorithmic approach to virtual machine migration in cloud computing with updated SESA algorithm. Sensors 23(13), 6117 (2023)","journal-title":"Sensors"},{"issue":"13","key":"4610_CR43","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":"4610_CR44","doi-asserted-by":"publisher","unstructured":"Yunpeng, L., Di, H., Junpeng, B., Yong, Q.: Multi-step ahead time series forecasting for different data patterns based on lstm recurrent neural network. In: 2017 14th Web Information Systems and Applications Conference (WISA), pp. 305\u2013310 (2017) https:\/\/doi.org\/10.1109\/WISA.2017.25","DOI":"10.1109\/WISA.2017.25"},{"issue":"1","key":"4610_CR45","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2024\/1\/012068","volume":"2024","author":"P Zhong","year":"2021","unstructured":"Zhong, P., Chen, Z., Hang, C., Wu, S., Mei, L., Sun, H.: Yield prediction of household garbage based on sarima and exponential smoothing model. J. Phys. Conf. Ser. 2024(1), 012068 (2021). https:\/\/doi.org\/10.1088\/1742-6596\/2024\/1\/012068","journal-title":"J. Phys. Conf. Ser."},{"key":"4610_CR46","doi-asserted-by":"publisher","unstructured":"Gao, J., Wang, H., Shen, H.: Machine learning based workload prediction in cloud computing. In: 2020 29th International Conference on Computer Communications and Networks (ICCCN), pp. 1\u20139. (2020)https:\/\/doi.org\/10.1109\/ICCCN49398.2020.9209730","DOI":"10.1109\/ICCCN49398.2020.9209730"},{"issue":"4","key":"4610_CR47","doi-asserted-by":"publisher","first-page":"1313","DOI":"10.1109\/TPDS.2023.3240567","volume":"34","author":"D Saxena","year":"2023","unstructured":"Saxena, D., Kumar, J., Singh, A.K., Schmid, S.: Performance analysis of machine learning centered workload prediction models for cloud. IEEE Trans. Parallel Distrib. Syst. 34(4), 1313\u20131330 (2023). https:\/\/doi.org\/10.1109\/TPDS.2023.3240567","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"4610_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114232","volume":"168","author":"B Li","year":"2021","unstructured":"Li, B., Ding, J., Yin, Z., Li, K., Zhao, X., Zhang, L.: Optimized neural network combined model based on the induced ordered weighted averaging operator for vegetable price forecasting. Expert Syst. Appl. 168, 114232 (2021)","journal-title":"Expert Syst. Appl."},{"issue":"9","key":"4610_CR49","first-page":"4320","volume":"11","author":"J Nie","year":"2017","unstructured":"Nie, J., Luo, J., Yin, L.: Energy-aware multi-dimensional resource allocation algorithm in cloud data center. Ksii Trans. Internet Inf. Syst. 11(9), 4320\u20134333 (2017)","journal-title":"Ksii Trans. Internet Inf. Syst."},{"key":"4610_CR50","unstructured":"Calheiros, R.N., Ranjan, R., De\u00a0Rose, C.A., Buyya, R.: Cloudsim: A novel framework for modeling and simulation of cloud computing infrastructures and services. arXiv preprint arXiv:0903.2525 (2009)"},{"key":"4610_CR51","first-page":"1","volume":"2022","author":"TO Hodson","year":"2022","unstructured":"Hodson, T.O.: Root mean square error (rmse) or mean absolute error (mae): when to use them or not. Geosci. Model Dev. Discussions 2022, 1\u201310 (2022)","journal-title":"Geosci. Model Dev. Discussions"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04610-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04610-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04610-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T22:01:13Z","timestamp":1727301673000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04610-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,19]]},"references-count":51,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["4610"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04610-4","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,19]]},"assertion":[{"value":"2 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}