{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T06:00:58Z","timestamp":1721455258176},"reference-count":47,"publisher":"Institution of Engineering and Technology (IET)","issue":"17","license":[{"start":{"date-parts":[[2022,7,30]],"date-time":"2022-07-30T00:00:00Z","timestamp":1659139200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2022,7,30]],"date-time":"2022-07-30T00:00:00Z","timestamp":1659139200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072467"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IET Communications"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1049\/cmu2.12464","type":"journal-article","created":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T04:48:35Z","timestamp":1659242915000},"page":"2105-2122","source":"Crossref","is-referenced-by-count":4,"title":["Cushion<\/i>\n : A proactive resource provisioning method to mitigate SLO violations for containerized microservices"],"prefix":"10.1049","volume":"16","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-3636-2938","authenticated-orcid":false,"given":"Dacheng","family":"Zhou","sequence":"first","affiliation":[{"name":"Institute of Information Technology People's Liberation Army Strategic Support Force Information Engineering University Jinshui District Zhengzhou China"}]},{"given":"Hongchang","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Information Technology People's Liberation Army Strategic Support Force Information Engineering University Jinshui District Zhengzhou China"}]},{"given":"Ke","family":"Shang","sequence":"additional","affiliation":[{"name":"Institute of Information Technology People's Liberation Army Strategic Support Force Information Engineering University Jinshui District Zhengzhou China"}]},{"given":"Guozhen","family":"Cheng","sequence":"additional","affiliation":[{"name":"Institute of Information Technology People's Liberation Army Strategic Support Force Information Engineering University Jinshui District Zhengzhou China"}]},{"given":"Jianpeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Information Technology People's Liberation Army Strategic Support Force Information Engineering University Jinshui District Zhengzhou China"}]},{"given":"Hongchao","family":"Hu","sequence":"additional","affiliation":[{"name":"Institute of Information Technology People's Liberation Army Strategic Support Force Information Engineering University Jinshui District Zhengzhou China"}]}],"member":"265","published-online":{"date-parts":[[2022,7,30]]},"reference":[{"issue":"2011","key":"e_1_2_12_2_1","first-page":"1","article-title":"Nist cloud computing reference architecture","volume":"500","author":"Liu F.","year":"2011","journal-title":"NIST Special Pub."},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2017.2711009"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2015.11"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2010.10.016"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2018.2870389"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2020.2997518"},{"issue":"10","key":"e_1_2_12_8_1","first-page":"1890799","article-title":"Adaptive threshold\u2010based approach for energy\u2010efficient consolidation of virtual machines in cloud data centers","volume":"4","author":"Beloglazov A.","year":"2010","journal-title":"MGC@ Middleware"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2015.2499770"},{"key":"e_1_2_12_10_1","doi-asserted-by":"crossref","unstructured":"Niu Y. Liu F. Li Z.:Load balancing across microservices. In:IEEE INFOCOM 2018\u2010IEEE Conference on Computer Communications pp.198\u2013206.IEEE Piscataway(2018)","DOI":"10.1109\/INFOCOM.2018.8486300"},{"key":"e_1_2_12_11_1","doi-asserted-by":"crossref","unstructured":"Yu R. Kilari V.T. Xue G. Yang D.:Load balancing for interdependent iot microservices. In:IEEE INFOCOM 2019\u2010IEEE Conference on Computer Communications pp.298\u2013306.IEEE Piscataway(2019)","DOI":"10.1109\/INFOCOM.2019.8737450"},{"key":"e_1_2_12_12_1","doi-asserted-by":"crossref","unstructured":"Gias A.U. Casale G. Woodside M.:Atom: Model\u2010driven autoscaling for microservices. In:2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) pp.1994\u20132004.IEEE Piscataway(2019)","DOI":"10.1109\/ICDCS.2019.00197"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2017.2665549"},{"key":"e_1_2_12_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2014.2350475"},{"key":"e_1_2_12_15_1","doi-asserted-by":"crossref","unstructured":"Rzadca K. Findeisen P. Swiderski J. Zych P. Broniek P. Kusmierek J. et\u00a0al.:Autopilot: workload autoscaling at google. In:Proceedings of the Fifteenth European Conference on Computer Systems pp.1\u201316. Association for Computing Machinery New York (2020)","DOI":"10.1145\/3342195.3387524"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.03.003"},{"key":"e_1_2_12_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2020.2995937"},{"key":"e_1_2_12_18_1","unstructured":"Wang L. Li M. Zhang Y. Ristenpart T. Swift M.:Peeking behind the curtains of serverless platforms. In:2018 USENIX Annual Technical Conference (USENIX ATC 18) pp.133\u2013146.USENIX Association Berkeley(2018)"},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2021.102362"},{"key":"e_1_2_12_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2016.03.001"},{"key":"e_1_2_12_21_1","doi-asserted-by":"crossref","unstructured":"Liu B. Buyya R. Nadjaran Toosi A.:A fuzzy\u2010based auto\u2010scaler for web applications in cloud computing environments. In:International Conference on Service\u2010Oriented Computing pp.797\u2013811.Springer Berlin Heidelberg(2018)","DOI":"10.1007\/978-3-030-03596-9_57"},{"key":"e_1_2_12_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-018-0562-5"},{"key":"e_1_2_12_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2020.11.789"},{"key":"e_1_2_12_24_1","first-page":"1","article-title":"Adaptive processing rate based container provisioning for meshed micro\u2010services in kubernetes clouds","author":"Wu H.","year":"2022","journal-title":"CCF Trans. High Perform. Comput."},{"key":"e_1_2_12_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2022.100514"},{"key":"e_1_2_12_26_1","first-page":"287","article-title":"Mlscale: A machine learning based application\u2010agnostic autoscaler","volume":"22","author":"Wajahat M.","year":"2019","journal-title":"Sustain. Comput.: Inform. Syst."},{"key":"e_1_2_12_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107216"},{"key":"e_1_2_12_28_1","doi-asserted-by":"crossref","unstructured":"Yang Z. Nguyen P. Jin H. Nahrstedt K.:Miras: Model\u2010based reinforcement learning for microservice resource allocation over scientific workflows. In:2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) pp.122\u2013132.IEEE Piscataway(2019)","DOI":"10.1109\/ICDCS.2019.00021"},{"key":"e_1_2_12_29_1","unstructured":"Qiu H. Banerjee S.S. Jha S. Kalbarczyk Z.T. Iyer R.K.:{FIRM}: An intelligent fine\u2010grained resource management framework for {SLO\u2010Oriented} microservices. In:14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20) pp.805\u2013825.USENIX Association Berkeley(2020)"},{"key":"e_1_2_12_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102629"},{"key":"e_1_2_12_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-05409-2"},{"key":"e_1_2_12_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-020-03296-w"},{"key":"e_1_2_12_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-021-09597-5"},{"key":"e_1_2_12_34_1","doi-asserted-by":"publisher","DOI":"10.25046\/aj0506116"},{"key":"e_1_2_12_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117012"},{"key":"e_1_2_12_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116863"},{"key":"e_1_2_12_37_1","doi-asserted-by":"crossref","unstructured":"Ajila S.A. Bankole A.A.:Cloud client prediction models using machine learning techniques. In:2013 IEEE 37th Annual Computer Software and Applications Conference pp.134\u2013142.IEEE Piscataway(2013)","DOI":"10.1109\/COMPSAC.2013.21"},{"key":"e_1_2_12_38_1","doi-asserted-by":"crossref","unstructured":"Bankole A.A. Ajila S.A.:Cloud client prediction models for cloud resource provisioning in a multitier web application environment. In:2013 IEEE Seventh International Symposium on Service\u2010Oriented System Engineering pp.156\u2013161.IEEE Piscataway(2013)","DOI":"10.1109\/SOSE.2013.40"},{"key":"e_1_2_12_39_1","doi-asserted-by":"crossref","unstructured":"Bankole A.A. Ajila S.A.:Predicting cloud resource provisioning using machine learning techniques. In:2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) pp.1\u20134.IEEE Piscataway(2013)","DOI":"10.1109\/CCECE.2013.6567848"},{"key":"e_1_2_12_40_1","first-page":"115","article-title":"Learning precise timing with lstm recurrent networks","volume":"3","author":"Gers F.A.","year":"2002","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_2_12_41_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_2_12_42_1","doi-asserted-by":"crossref","unstructured":"Gers F.A. Eck D. Schmidhuber J.:Applying lstm to time series predictable through time\u2010window approaches. In:Neural Nets WIRN Vietri\u201001 pp.193\u2013200.Springer Berlin Heidelberg(2002)","DOI":"10.1007\/978-1-4471-0219-9_20"},{"key":"e_1_2_12_43_1","doi-asserted-by":"crossref","unstructured":"He K. Zhang X. Ren S. Sun J.:Deep residual learning for image recognition. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp.770\u2013778.IEEE Piscataway(2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_2_12_44_1","doi-asserted-by":"crossref","unstructured":"Poth A. Werner M. Lei X.:How to deliver faster with ci\/cd integrated testing services?In:European Conference on Software Process Improvement pp.401\u2013409.Springer Berlin Heidelberg(2018)","DOI":"10.1007\/978-3-319-97925-0_33"},{"key":"e_1_2_12_45_1","unstructured":"Glozer W.:wrk \u2010 a h\u00a0ttp benchmarking tool.https:\/\/github.com\/wg\/wrk. Accessed 6 June 2022"},{"key":"e_1_2_12_46_1","doi-asserted-by":"crossref","unstructured":"Abdullah M. Iqbal W. Erradi A. Bukhari F.:Learning predictive autoscaling policies for cloud\u2010hosted microservices using trace\u2010driven modeling. In:2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) pp.119\u2013126.IEEE Piscataway(2019)","DOI":"10.1109\/CloudCom.2019.00028"},{"key":"e_1_2_12_47_1","unstructured":"Akkus I.E. Chen R. Rimac I. Stein M. Satzke K. Beck A. et\u00a0al.:{SAND}: Towards {High\u2010Performance} serverless computing. In:2018 Usenix Annual Technical Conference (USENIX ATC 18) pp.923\u2013935.USENIX Association Berkeley(2018)"},{"key":"e_1_2_12_48_1","doi-asserted-by":"crossref","unstructured":"Bauer A. Lesch V. Versluis L. Ilyushkin A. Herbst N. Kounev S.:Chamulteon: Coordinated auto\u2010scaling of micro\u2010services. In:2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) pp.2015\u20132025.IEEE Piscataway(2019)","DOI":"10.1109\/ICDCS.2019.00199"}],"container-title":["IET Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1049\/cmu2.12464","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1049\/cmu2.12464","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1049\/cmu2.12464","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,13]],"date-time":"2022-10-13T10:54:36Z","timestamp":1665658476000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1049\/cmu2.12464"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,30]]},"references-count":47,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["10.1049\/cmu2.12464"],"URL":"https:\/\/doi.org\/10.1049\/cmu2.12464","archive":["Portico"],"relation":{},"ISSN":["1751-8628","1751-8636"],"issn-type":[{"value":"1751-8628","type":"print"},{"value":"1751-8636","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,30]]}}}