{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:16:43Z","timestamp":1755839803597,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031733178"},{"type":"electronic","value":"9783031733185"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-73318-5_30","type":"book-chapter","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T12:55:29Z","timestamp":1735217729000},"page":"297-306","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Optimizing Energy Efficiency in Data Centers Through Machine Learning Model"],"prefix":"10.1007","author":[{"given":"Md. Shadman","family":"Sakib","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md. Shorif","family":"Hossain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ifterkhar Ahmed","family":"Shohan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md. Aahadul Islam","family":"Fardin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed Wasif","family":"Reza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehedi","family":"Masud","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,27]]},"reference":[{"issue":"26","key":"30_CR1","first-page":"323","volume":"2022","author":"Z Yang","year":"2021","unstructured":"Yang Z et al (2021) Increasing the energy efficiency of a data center based on machine learning. J Ind Ecol 2022(26):323\u2013335","journal-title":"J Ind Ecol"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Bhattacharya T, Qin X (2020) Modeling energy efficiency of future green data centers. In: 2020 11th International green and sustainable computing workshops (IGSC) (2020) 1\u20133","DOI":"10.1109\/IGSC51522.2020.9291049"},{"key":"30_CR3","unstructured":"Monil MAH et al (2015) Incorporating migration control in VM selection strategies to enhance performance. Int J Web Appl 6(2014):135\u2013151"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Johann T, Dick M, Naumann S, Kern E (2012) How to measure energy-efficiency of software: metrics and measurement results. In: Proceedings of the first international workshop on green and sustainable software. IEEE Press, pp 51\u201354","DOI":"10.1109\/GREENS.2012.6224256"},{"key":"30_CR5","unstructured":"Garc\u00eda Mart\u00edn E (2017) Energy efficiency in machine learning: a position paper. In: 30th Annual workshop of the Swedish artificial intelligence society SAIS 2017, May 15\u201316, 2017, Karlskrona, Sweden, vol 137, pp 68\u201372"},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Pham A-D, Ngo N-T, Truong TTH, Huynh N-T, Truoung N-S (2020) Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability. J Clean Prod 260:121082. ISSN 0959-6526","DOI":"10.1016\/j.jclepro.2020.121082"},{"key":"30_CR7","doi-asserted-by":"publisher","unstructured":"Sayadi H, Patel N, Sasan A, Homayoun H (2017) Machine learning-based approaches for energy-efficiency prediction and scheduling in composite cores architectures. In: 2017 IEEE international conference on computer design (ICCD), pp 129\u2013136. https:\/\/doi.org\/10.1109\/ICCD.2017.28","DOI":"10.1109\/ICCD.2017.28"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10586-011-0171-x","volume":"16","author":"GL Valentini","year":"2013","unstructured":"Valentini GL, Lassonde W, Khan SU et al (2013) An overview of energy efficiency techniques in cluster computing systems. Clust Comput 16:3\u201315","journal-title":"Clust Comput"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Chen C, Hu Y, Karuppiah M, Kumar PM (2021) Artificial intelligence on economic evaluation of energy efficiency and renewable energy technologies. Sustain Energy Technol Assess 47:101358. ISSN 2213-1388","DOI":"10.1016\/j.seta.2021.101358"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Chou J-S, Bui D-K (2014) Modeling heating and cooling loads by artificial intelligence for energy-efficient building design. Energy Build 82:437\u2013446. ISSN 0378-7788","DOI":"10.1016\/j.enbuild.2014.07.036"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Jin Y, Wen Y, Chen Q (2012) Energy efficiency and server virtualization in data centers: an empirical investigation. In: 2012 Proceedings IEEE INFOCOM workshops. IEEE, pp 133\u2013138","DOI":"10.1109\/INFCOMW.2012.6193474"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5\u201332","DOI":"10.1023\/A:1010933404324"},{"key":"30_CR13","unstructured":"Bodik P (2010) Automating datacenter operations using machine learning. Ph.D. thesis, University of California"},{"issue":"2019","key":"30_CR14","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.enbuild.2018.10.004","volume":"182","author":"N-T Ngo","year":"2019","unstructured":"Ngo N-T (2019) Early predicting cooling loads for energy-efficient design in office buildings by machine learning. Energy Build 182(2019):264\u2013273","journal-title":"Energy Build"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Hu T, Fei Y (2010) QELAR: a machine-learning-based adaptive routing protocol for energy-efficient and lifetime-extended underwater sensor networks. IEEE Trans Mob Comput 9(6):796\u2013809","DOI":"10.1109\/TMC.2010.28"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Benavente-Peces C, Ibadah N (2020) Building energy efficiency analysis and classification using various machine learning techniques. Energies 13(13):3497","DOI":"10.3390\/en13133497"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Computing and Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73318-5_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T13:05:31Z","timestamp":1735218331000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73318-5_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031733178","9783031733185"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73318-5_30","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing & Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Phnom Penh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambodia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ico2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icico.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}