{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T20:07:23Z","timestamp":1716926843029},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T00:00:00Z","timestamp":1644192000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T00:00:00Z","timestamp":1644192000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672174","61772145"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key platform and scientific research project of Guangdong education department","award":["2017KTSCX128"]},{"DOI":"10.13039\/501100021171","name":"Guangdong basic and applied basic research foundation","doi-asserted-by":"crossref","award":["2020A1515010727"],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Maoming Science and Technology Project","award":["mmkj2020008"]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s10586-021-03525-8","type":"journal-article","created":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T15:02:31Z","timestamp":1644246151000},"page":"2699-2714","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Two-stage selection of distributed data centers based on deep reinforcement learning"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-1285-7397","authenticated-orcid":false,"given":"Qirui","family":"Li","sequence":"first","affiliation":[]},{"given":"Zhiping","family":"Peng","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1840-3647","authenticated-orcid":false,"given":"Delong","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Jianpeng","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Jieguang","family":"He","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,7]]},"reference":[{"issue":"3","key":"3525_CR1","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1109\/TCC.2016.2535215","volume":"6","author":"Z Xu","year":"2018","unstructured":"Xu, Z., Liang, W., Xia, Q.: Efficient Embedding of Virtual Networks to Distributed Clouds via Exploring Periodic Resource Demands. IEEE Trans. Cloud Comput. 6(3), 694\u2013707 (2018)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"3525_CR2","doi-asserted-by":"crossref","unstructured":"Xu, J., Palanisamy, B.: Cost-aware resource management for federated clouds using resource sharing contracts. In Procceding of IEEE 10th International Conference on Cloud Computing, Honolulu, HI, USA, pp. 238\u2013245 (2017)","DOI":"10.1109\/CLOUD.2017.38"},{"issue":"1","key":"3525_CR3","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/TCC.2017.2737628","volume":"8","author":"H Shen","year":"2020","unstructured":"Shen, H., Chen, L.: A resource usage intensity aware load balancing method for virtual machine migration in cloud datacenters. IEEE Trans. Cloud Comput. 8(1), 17\u201331 (2020)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"1","key":"3525_CR4","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1109\/TPDS.2018.2851246","volume":"30","author":"J Mei","year":"2019","unstructured":"Mei, J., Li, K., Tong, Z., Li, Q., Li, K.: Profit maximization for cloud brokers in cloud computing. IEEE Trans. Parallel Distrib. Syst. 30(1), 190\u2013203 (2019)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"3525_CR5","doi-asserted-by":"publisher","first-page":"172879","DOI":"10.1109\/ACCESS.2019.2956169","volume":"7","author":"B Huang","year":"2019","unstructured":"Huang, B., Du, C., Sun, M., Yuan, X.: A dynamic virtual datacenter selection strategy for integrated cloud service platform construction with multiclouds. IEEE Access. 7, 172879\u2013172891 (2019)","journal-title":"IEEE Access."},{"issue":"3","key":"3525_CR6","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1109\/TCC.2014.2322355","volume":"2","author":"T Tram","year":"2014","unstructured":"Tram, T., Chen, T.: A novel model for competition and cooperation among cloud providers. IEEE Trans. Cloud Comput. 2(3), 251\u2013265 (2014)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"6","key":"3525_CR7","doi-asserted-by":"publisher","first-page":"1580","DOI":"10.1109\/TPDS.2014.2326409","volume":"26","author":"W Wang","year":"2014","unstructured":"Wang, W., Niu, D., Liang, B.: Dynamic cloud instance acquisition via iaas cloud brokerage. IEEE Trans. Parallel Distrib. Syst. 26(6), 1580\u20131593 (2014)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"3525_CR8","doi-asserted-by":"crossref","unstructured":"Zhao, S., Zhu, Z.: Network service reconfiguration in hybrid optical\/electrical datacenter networks. In: Proceedings of International Conference on Optical Network Design and Modeling, Castelldefels, Barcelona, Spain, pp. 1\u20136 (2020)","DOI":"10.23919\/ONDM48393.2020.9133032"},{"key":"3525_CR9","doi-asserted-by":"crossref","unstructured":"Peng, Z., Cui, D., Ma, Y., Xiong, J., Xu B., Lin, W.: R-Learning and Gaussian process regression algorithm for cloud job access control. In: Proceedings of IEEE 3rd International Conference on Cyber Security and Cloud Computing, Beijing, China, pp. 163\u2013166 (2016)","DOI":"10.1109\/CSCloud.2016.15"},{"issue":"4","key":"3525_CR10","doi-asserted-by":"publisher","first-page":"1030","DOI":"10.1109\/TCC.2017.2773078","volume":"8","author":"D Cui","year":"2020","unstructured":"Cui, D., Peng, Z., Xiong, J., Xu, B., Lin, W.: A reinforcement learning-based mixed job scheduler scheme for grid or IaaS cloud. IEEE Trans. Cloud Comput. 8(4), 1030\u20131039 (2020)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"3525_CR11","doi-asserted-by":"publisher","first-page":"2753","DOI":"10.1007\/s10586-019-03042-9","volume":"23","author":"Z Peng","year":"2020","unstructured":"Peng, Z., Lin, J., Cui, D., Li, Q., He, J.: A multi-objective trade-off framework for cloud resource scheduling based on the deep Q-network algorithm. Clust. Comput. 23, 2753\u20132767 (2020)","journal-title":"Clust. Comput."},{"issue":"6","key":"3525_CR12","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1109\/JSAC.2020.2986615","volume":"38","author":"X Xiong","year":"2020","unstructured":"Xiong, X., Zheng, K., Lei, L., Hou, L.: Resource allocation based on deep reinforcement learning in IoT edge computing. IEEE J. Sel. Areas Commun. 38(6), 1133\u20131146 (2020)","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"1","key":"3525_CR13","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1109\/TCC.2017.2745560","volume":"8","author":"L Tomas","year":"2017","unstructured":"Tomas, L., Kokkinos, P., Anagnostopoulos, V., Feder, O., Kyriazis, D., Meth, K., Varvarigos, E., Varvarigou, T.: Disaster recovery layer for distributed openstack deployments. IEEE Trans. Cloud Comput. 8(1), 112\u2013123 (2017)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"3525_CR14","volume-title":"Combinatorial Optimization Theory and Algorithms","author":"B Korte","year":"2008","unstructured":"Korte, B., Vygen, J.: Combinatorial Optimization Theory and Algorithms. Springer, Heidelberg (2008)"},{"key":"3525_CR15","doi-asserted-by":"crossref","unstructured":"Li, Q., Peng, Z., Cui, D., He, J., Chen, K., Zhou, J.: Data center selection based on reinforcement learning. In: Proceedings of the 4th International Conference on Cloud Computing and Internet of Things, Changchun, China, pp. 14\u201319 (2019)","DOI":"10.1109\/CCIOT48581.2019.8980333"},{"key":"3525_CR16","unstructured":"Antti, M., Jukka, N.: Energy efficiency of mobile clients in cloud computing. In: Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, Boston, MA, USA, pp. 1\u201310 (2010)"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03525-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-021-03525-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03525-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T11:32:31Z","timestamp":1657798351000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-021-03525-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,7]]},"references-count":16,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["3525"],"URL":"http:\/\/dx.doi.org\/10.1007\/s10586-021-03525-8","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,7]]},"assertion":[{"value":"10 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 February 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This work did not involved humans and animals. Ethics approval was not required for this research.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical statement"}},{"value":"All authors signed the consent form.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent statement"}}]}}
