{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:28:30Z","timestamp":1743100110036,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":10,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811514678"},{"type":"electronic","value":"9789811514685"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-1468-5_79","type":"book-chapter","created":{"date-parts":[[2020,2,3]],"date-time":"2020-02-03T19:05:02Z","timestamp":1580756702000},"page":"667-675","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Load Balance of Cloud Computing Center Based on Energy Awareness"],"prefix":"10.1007","author":[{"given":"Zhenjiang","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenxiang","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,2,4]]},"reference":[{"issue":"12","key":"79_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/MC.2007.443","volume":"40","author":"LA Barroso","year":"2007","unstructured":"Barroso, L.A., and U. Holzle. 2007. The case for energy-proportional computing. Computer 40 (12): 33\u201337.","journal-title":"Computer"},{"key":"79_CR2","volume-title":"Research and implementation on energy-aware load balancing strategies in data centers","author":"Wang Hao","year":"2018","unstructured":"Hao, Wang. 2018. Research and implementation on energy-aware load balancing strategies in data centers. Nanjing: Southeast University."},{"key":"79_CR3","unstructured":"Peiquan, Jin, Xing Baoping, et al. 2014. Survey on energy-aware green databases. Journal of Computer Applications 34 (1): 46:53."},{"key":"79_CR4","doi-asserted-by":"crossref","unstructured":"Moghtadaeipour, A., and R. Tavoli. 2016. A new approach to improve load balancing for increasing fault tolerance and decreasing energy consumption in cloud computing. In International Conference on Knowledge-based Engineering and Innovation, IEEE.","DOI":"10.1109\/KBEI.2015.7436178"},{"key":"79_CR5","doi-asserted-by":"crossref","unstructured":"Pavithra, B., and R. Ranjana. 2016. A comparative study on performance of energy efficient load balancing techniques in cloud. In International Conference on Wireless Communications.","DOI":"10.1109\/WiSPNET.2016.7566325"},{"key":"79_CR6","doi-asserted-by":"crossref","unstructured":"Florence, A. P., and V. Shanthi. 2015. Energy aware load balancing for computational cloud. In International Conference on Computational Intelligence and Computing Research, IEEE.","DOI":"10.1109\/ICCIC.2014.7238489"},{"key":"79_CR7","doi-asserted-by":"crossref","unstructured":"Berral, J. L., et al. 2010. Towards energy-aware scheduling in data centers using machine learning. In International Conference on Energy-Efficient Computing and Networking, DBLP.","DOI":"10.1145\/1791314.1791349"},{"issue":"24","key":"79_CR8","first-page":"96","volume":"36","author":"L Bin","year":"2010","unstructured":"Bin, L., Y. Jian, and Z. Yu. 2010. Dynamic cluster configuration strategy for energy conservation based on online load prediction. Computer Engineering 36 (24): 96\u201398.","journal-title":"Computer Engineering"},{"key":"79_CR9","volume-title":"Research on energy consumption optimization strategy for green cloud computing","author":"Sun Meng","year":"2017","unstructured":"Meng, Sun. 2017. Research on energy consumption optimization strategy for green cloud computing. Nanjing: Nanjing University of Posts and Telecommunications."},{"key":"79_CR10","doi-asserted-by":"crossref","unstructured":"Ali, Q., H. Zheng, T. Mann, et al. 2015. Power aware NUMA scheduler in VMware\u2019s ESXi hypervisor. In IEEE International Symposium on Workload Characterization, IEEE Computer Society.","DOI":"10.1109\/IISWC.2015.30"}],"container-title":["Advances in Intelligent Systems and Computing","Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-1468-5_79","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,19]],"date-time":"2020-05-19T18:04:53Z","timestamp":1589911493000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-1468-5_79"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811514678","9789811514685"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-1468-5_79","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}