{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:26:33Z","timestamp":1766269593758,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031665936"},{"type":"electronic","value":"9783031665943"}],"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\/978-3-031-66594-3_10","type":"book-chapter","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T01:01:48Z","timestamp":1723597308000},"page":"95-105","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Assessment of Performance for Cloud-Native Machine Learning on Edge Devices"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6939-6504","authenticated-orcid":false,"given":"Konrad","family":"C\u0142apa","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4472-8100","authenticated-orcid":false,"given":"Krzysztof","family":"Grudzie\u0144","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8466-4856","authenticated-orcid":false,"given":"Artur","family":"Siersze\u0144","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,15]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","first-page":"85714","DOI":"10.1109\/ACCESS.2020.2991734","volume":"8","author":"K Cao","year":"2020","unstructured":"Cao, K., Liu, Y., Meng, G., Sun, Q.: An overview on edge computing research. IEEE Access 8, 85714\u201385728 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2991734","journal-title":"IEEE Access"},{"key":"10_CR2","doi-asserted-by":"publisher","unstructured":"Babou, C.S.M., Fall, D., Kashihara, S., Niang, I., Kadobayashi, Y.: Home Edge Computing (HEC): design of a new edge computing technology for achieving ultra-low latency. In: Liu, S., Tekinerdogan, B., Aoyama, M., Zhang, L.J. (eds.) Edge Computing \u2013 EDGE 2018. Lecture Notes in Computer Science, vol. 10973, pp. 3\u201317. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-319-94340-4_1","DOI":"10.1007\/978-3-319-94340-4_1"},{"key":"10_CR3","doi-asserted-by":"publisher","unstructured":"Kocakulak, M., Butun, I.: An overview of Wireless Sensor Networks towards internet of things. In: 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, pp. 1\u20136 (2017). https:\/\/doi.org\/10.1109\/CCWC.2017.7868374","DOI":"10.1109\/CCWC.2017.7868374"},{"issue":"2","key":"10_CR4","doi-asserted-by":"publisher","first-page":"20","DOI":"10.15302\/J-SSCAE-2018.02.004","volume":"20","author":"X Hong","year":"2018","unstructured":"Hong, X., Wang, Y.: Edge computing technology: development and countermeasures. Chin. J. Eng. Sci. 20(2), 20 (2018)","journal-title":"Chin. J. Eng. Sci."},{"issue":"3","key":"10_CR5","first-page":"1","volume":"39","author":"JL Zhang","year":"2018","unstructured":"Zhang, J.L., Zhao, Y.C., Chen, B.: Survey on data security and privacy preserving for the research of edge computing. J. Commun. 39(3), 1\u201321 (2018)","journal-title":"J. Commun."},{"issue":"7","key":"10_CR6","doi-asserted-by":"publisher","first-page":"4285","DOI":"10.1109\/TII.2019.2907754","volume":"15","author":"Z Tian","year":"2019","unstructured":"Tian, Z., et al.: Real-Time lateral movement detection based on evidence reasoning network for edge computing environment. IEEE Trans. Ind. Inf. 15(7), 4285\u20134294 (2019). https:\/\/doi.org\/10.1109\/TII.2019.2907754","journal-title":"IEEE Trans. Ind. Inf."},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Xiong, J., Chen, H.: Challenges for building a cloud native scalable and trustable multi-tenant AIoT platform. In: ICCAD \u201820: Proceedings of the 39th International Conference on Computer-Aided Design, Article No. 26, pp. 1\u20138 (2020)","DOI":"10.1145\/3400302.3415756"},{"key":"10_CR8","doi-asserted-by":"publisher","unstructured":"Nain, G., Pattanaik, K.K., Sharma, G.K.: Towards edge computing in intelligent manufacturing: past, present and future. J. Manuf. Syst. 62, 588\u2013611 (2022). ISSN 0278\u20136125, https:\/\/doi.org\/10.1016\/j.jmsy.2022.01.010","DOI":"10.1016\/j.jmsy.2022.01.010"},{"key":"10_CR9","doi-asserted-by":"publisher","first-page":"5922","DOI":"10.3390\/s21175922","volume":"21","author":"Y Kalyani","year":"2021","unstructured":"Kalyani, Y., Collier, R.: A systematic survey on the role of cloud, fog, and edge computing combination in smart agriculture. Sensors 21, 5922 (2021). https:\/\/doi.org\/10.3390\/s21175922","journal-title":"Sensors"},{"key":"10_CR10","doi-asserted-by":"publisher","unstructured":"Ma, Z. et al.: Lightweight privacy-preserving medical diagnosis in edge computing. IEEE Trans. Serv. Comput. 15(3), 1606\u20131618 (2022). https:\/\/doi.org\/10.1109\/TSC.2020.3004627","DOI":"10.1109\/TSC.2020.3004627"},{"issue":"10","key":"10_CR11","doi-asserted-by":"publisher","first-page":"10200","DOI":"10.1109\/JIOT.2020.2987070","volume":"7","author":"LU Khan","year":"2020","unstructured":"Khan, L.U., Yaqoob, I., Tran, N.H., Kazmi, S.M.A., Dang, T.N., Hong, C.S.: Edge-computing-enabled smart cities: a comprehensive survey. IEEE Internet Things J. 7(10), 10200\u201310232 (2020). https:\/\/doi.org\/10.1109\/JIOT.2020.2987070","journal-title":"IEEE Internet Things J."},{"issue":"8","key":"10_CR12","doi-asserted-by":"publisher","first-page":"1697","DOI":"10.1109\/JPROC.2019.2915983","volume":"107","author":"S Liu","year":"2019","unstructured":"Liu, S., Liu, L., Tang, J., Yu, B., Wang, Y., Shi, W.: Edge computing for autonomous driving: opportunities and challenges. Proc. IEEE 107(8), 1697\u20131716 (2019). https:\/\/doi.org\/10.1109\/JPROC.2019.2915983","journal-title":"Proc. IEEE"},{"key":"10_CR13","doi-asserted-by":"publisher","unstructured":"Almusallam, N., Alabdulatif, A., Alarfaj, F.: Analysis of privacy-preserving edge computing and Internet of Things models in healthcare domain. Comput. Math. Methods Med. 2021, 6834800 (2021). https:\/\/doi.org\/10.1155\/2021\/6834800. PMID: 35003323; PMCID: PMC8739545","DOI":"10.1155\/2021\/6834800"},{"issue":"1","key":"10_CR14","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1145\/3523230.3523235","volume":"52","author":"AY Ding","year":"2022","unstructured":"Ding, A.Y., et al.: Roadmap for edge AI: a Dagstuhl perspective. SIGCOMM Comput. Commun. Rev. 52(1), 28\u201333 (2022). https:\/\/doi.org\/10.1145\/3523230.3523235","journal-title":"SIGCOMM Comput. Commun. Rev."},{"issue":"8","key":"10_CR15","doi-asserted-by":"publisher","first-page":"1738","DOI":"10.1109\/JPROC.2019.2918951","volume":"107","author":"Z Zhou","year":"2019","unstructured":"Zhou, Z., Chen, X., Li, E., Zeng, L., Luo, K., Zhang, J.: Edge intelligence: paving the last mile of artificial intelligence with edge computing. Proc. IEEE 107(8), 1738\u20131762 (2019). https:\/\/doi.org\/10.1109\/JPROC.2019.2918951","journal-title":"Proc. IEEE"},{"key":"10_CR16","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.future.2020.08.037","volume":"115","author":"Z Lv","year":"2021","unstructured":"Lv, Z., Chen, D., Lou, R., Wang, Q.: Intelligent edge computing based on machine learning for smart city. Futur. Gener. Comput. Syst. 115, 90\u201399 (2021)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Rausch, T., Rashed, A., Dustdar, S.: Optimized container scheduling for data-intensive serverless edge computing. Futur. Gener. Comput. Syst. 114, 259\u2013271 (2021)","DOI":"10.1016\/j.future.2020.07.017"},{"key":"10_CR18","doi-asserted-by":"crossref","unstructured":"Toka, L., Dobreff, G., Fodor, B., Sonkoly, B.: Machine learning-based scaling management for kubernetes edge clusters. IEEE: Trans. Netw. Serv. Manag. 18, 958\u2013972 (2021)","DOI":"10.1109\/TNSM.2021.3052837"},{"key":"10_CR19","doi-asserted-by":"publisher","unstructured":"Kum, S., Yu, M., Kim, Y., Moon, J., Cretti, S.: AI management platform with embedded edge cluster. In: 2021 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, pp. 1\u20133 (2021). https:\/\/doi.org\/10.1109\/ICCE50685.2021.9427731","DOI":"10.1109\/ICCE50685.2021.9427731"},{"key":"10_CR20","doi-asserted-by":"publisher","unstructured":"Bisong, E.: Kubeflow and kubeflow pipelines. In: Building Machine Learning and Deep Learning Models on Google Cloud Platform. Apress, Berkeley (2019). https:\/\/doi.org\/10.1007\/978-1-4842-4470-8_46","DOI":"10.1007\/978-1-4842-4470-8_46"},{"key":"10_CR21","doi-asserted-by":"publisher","unstructured":"Fathoni, H., Yang, C.T., Chang, C.H., Huang, C.Y.: Performance comparison of lightweight kubernetes in edge devices. In: Esposito, C., Hong, J., Choo, K.K.R. (eds.) Pervasive Systems, Algorithms and Networks: 16th International Symposium, I-SPAN 2019, Naples, Italy, 16\u201320  September 2019, Proceedings, pp. 304\u2013309. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-30143-9_25","DOI":"10.1007\/978-3-030-30143-9_25"},{"key":"10_CR22","doi-asserted-by":"publisher","unstructured":"Nikolov, N., et al.: Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers. Internet Things 16 (2021). https:\/\/doi.org\/10.1016\/j.iot.2021.100440","DOI":"10.1016\/j.iot.2021.100440"},{"key":"10_CR23","doi-asserted-by":"publisher","unstructured":"Ding, J.-H., Chang, P.-C., Hsu, W.-C., Chung, Y.-C.: PQEMU: a parallel system emulator based on QEMU. In: 2011 IEEE 17th International Conference on Parallel and Distributed Systems, Tainan, Taiwan, pp. 276\u2013283 (2011). https:\/\/doi.org\/10.1109\/ICPADS.2011.102","DOI":"10.1109\/ICPADS.2011.102"}],"container-title":["Lecture Notes in Networks and Systems","Digital Interaction and Machine Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-66594-3_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T01:03:22Z","timestamp":1723597402000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-66594-3_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031665936","9783031665943"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-66594-3_10","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":"15 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Machine Intelligence and Digital Interaction Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"midi12023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/midi2023.opi.org.pl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}