{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T05:47:58Z","timestamp":1751348878601,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811982330"},{"type":"electronic","value":"9789811982347"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-981-19-8234-7_7","type":"book-chapter","created":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T07:05:58Z","timestamp":1669187158000},"page":"81-91","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Explaining Predictive Scheduling in\u00a0Cloud"],"prefix":"10.1007","author":[{"given":"Muhammad","family":"Fahimullah","sequence":"first","affiliation":[]},{"given":"Rohit","family":"Gupta","sequence":"additional","affiliation":[]},{"given":"Shohreh","family":"Ahvar","sequence":"additional","affiliation":[]},{"given":"Maria","family":"Trocan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,24]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2021.101722","volume":"107","author":"R Shaw","year":"2021","unstructured":"Shaw, R., Howley, E., Barrett, E.: Applying reinforcement learning towards automating energy efficient virtual machine consolidation in cloud data centers. Inf. Syst. 107, 101722 (2021)","journal-title":"Inf. Syst."},{"key":"7_CR2","first-page":"10","volume":"12","author":"S Saxena","year":"2021","unstructured":"Saxena, S., Khan, M., Singh, R., Noorwali, A.: Proactive virtual machine scheduling to optimize the energy consumption of computational cloud. Int. J. Adv. Comput. Sci. Appl. 12, 10 (2021)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Sarikaa, S., Niranjana, S., Sri Vishnu Deepika, K.: Time Series Forecasting of Cloud Resource Usage. In: 2021 IEEE 6th International Conference On Computing, Communication And Automation (ICCCA), pp. 372\u2013382 (2021)","DOI":"10.1109\/ICCCA52192.2021.9666444"},{"key":"7_CR4","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1007\/s10586-020-03107-0","volume":"24","author":"A Shahidinejad","year":"2021","unstructured":"Shahidinejad, A., Ghobaei-Arani, M., Masdari, M.: Resource provisioning using workload clustering in cloud computing environment: a hybrid approach. Cluster Comput. 24, 319\u2013342 (2021)","journal-title":"Cluster Comput."},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Goodarzy, S., Nazari, M., Han, R., Keller, E., Rozner, E.: Resource management in cloud computing using machine learning: a survey. In: 2020 19th IEEE International Conference On Machine Learning And Applications (ICMLA), pp. 811\u2013816 (2020)","DOI":"10.1109\/ICMLA51294.2020.00132"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1007\/978-3-642-17103-1_60","volume-title":"Classification, Clustering, And Data Mining Applications","author":"E Acuna","year":"2004","unstructured":"Acuna, E., Rodriguez, C.: The treatment of missing values and its effect on classifier accuracy. In: Banks, D., McMorris, F.R., Arabie, P., Gaul, W. (eds.) Classification, Clustering, And Data Mining Applications, pp. 639\u2013647. Springer, Berlin (2004). https:\/\/doi.org\/10.1007\/978-3-642-17103-1_60"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Grzymala-Busse, J., Grzymala-Busse, W.: Handling missing attribute values. Data Mining And Knowledge Discovery Handbook, pp. 33\u201351 (2009)","DOI":"10.1007\/978-0-387-09823-4_3"},{"key":"7_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-022-01661-0","volume":"64","author":"C Tsai","year":"2022","unstructured":"Tsai, C., Hu, Y.: Empirical comparison of supervised learning techniques for missing value imputation. Knowl. Inf. Syst. 64, 1\u201329 (2022)","journal-title":"Knowl. Inf. Syst."},{"key":"7_CR9","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.future.2021.10.019","volume":"128","author":"T Khan","year":"2022","unstructured":"Khan, T., Tian, W., Ilager, S., Buyya, R.: Workload forecasting and energy state estimation in cloud data centres: ML-centric approach. Future Gener. Comput. Syst. 128, 320\u2013332 (2022)","journal-title":"Future Gener. Comput. Syst."},{"key":"7_CR10","doi-asserted-by":"publisher","first-page":"1772","DOI":"10.1016\/j.procs.2015.05.387","volume":"51","author":"A Tchernykh","year":"2015","unstructured":"Tchernykh, A., Schwiegelshohn, U., Alexandrov, V., Talbi, E.: Towards understanding uncertainty in cloud computing resource provisioning. Procedia Comput. Sci. 51, 1772\u20131781 (2015)","journal-title":"Procedia Comput. Sci."},{"key":"7_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/978-3-319-95930-6_18","volume-title":"Intelligent Computing Theories and Application","author":"L Deng","year":"2018","unstructured":"Deng, L., Ren, Y.-L., Xu, F., He, H., Li, C.: Resource utilization analysis of Alibaba cloud. In: Huang, D.-S., Bevilacqua, V., Premaratne, P., Gupta, P. (eds.) ICIC 2018. LNCS, vol. 10954, pp. 183\u2013194. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-95930-6_18"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Perennou, L., Callau-Zori, M., Lefebvre, S.: Understanding scheduler workload on non-hyperscale cloud platform. In: 19th ACM International Middleware Conference, pp. 23\u201324 (2018)","DOI":"10.1145\/3284014.3284026"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Wei, J., Gao, M.: Workload Prediction of Serverless Computing. In: 2021 5th International Conference On Deep Learning Technologies (ICDLT), pp. 93\u201399 (2021)","DOI":"10.1145\/3480001.3480016"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Mohamed, H., El-Gayar, O.: End-to-end latency prediction of microservices workflow on Kubernetes: a comparative evaluation of machine learning models and resource metrics. In: Proceedings Of The 54th Hawaii International Conference On System Sciences, p. 1717 (2021)","DOI":"10.24251\/HICSS.2021.208"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.jss.2017.07.012","volume":"132","author":"J Huang","year":"2017","unstructured":"Huang, J., et al.: Cross-validation based K nearest neighbor imputation for software quality datasets: an empirical study. J. Syst. Softw. 132, 226\u2013252 (2017)","journal-title":"J. Syst. Softw."},{"key":"7_CR16","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1007\/s10462-019-09709-4","volume":"53","author":"W Lin","year":"2020","unstructured":"Lin, W., Tsai, C.: Missing value imputation: a review and analysis of the literature (2006\u20132017). Artif. Intell. Rev. 53, 1487\u20131509 (2020)","journal-title":"Artif. Intell. Rev."},{"key":"7_CR17","first-page":"46","volume":"38","author":"G Zhi-xin","year":"2021","unstructured":"Zhi-xin, G., Teng-fei, B., Yang-tao, L., Yi-bing, W.: Dam deformation prediction model based on Bayesian optimization and LightGBM. J. Yangtze River Sci. Res. Inst. 38, 46\u201350 (2021)","journal-title":"J. Yangtze River Sci. Res. Inst."},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Hao, J., Wang, J., OuYang, Z.: Performance prediction and fine-grained resource provision of virtual machines via LightGBM. In: International Conference On Data Mining And Big Data, pp. 261\u2013272 (2021)","DOI":"10.1007\/978-981-16-7476-1_24"},{"key":"7_CR19","unstructured":"Lundberg, S., Lee, S.: A unified approach to interpreting model predictions. In: Proceedings Of The 31st International Conference On Neural Information Processing Systems, pp. 4768\u20134777 (2017)"}],"container-title":["Communications in Computer and Information Science","Recent Challenges in Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-8234-7_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T07:08:37Z","timestamp":1669187317000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-8234-7_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811982330","9789811982347"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-8234-7_7","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ho Chi Minh City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}