{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:33:46Z","timestamp":1743032026432,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031448355"},{"type":"electronic","value":"9783031448362"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-44836-2_7","type":"book-chapter","created":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T13:03:55Z","timestamp":1695819835000},"page":"92-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Network Slicing Deployment Strategy for High Reliability Power Business Service"],"prefix":"10.1007","author":[{"given":"Jinyu","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Lin","family":"Pang","sequence":"additional","affiliation":[]},{"given":"Jiayi","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Dalong","family":"Song","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,28]]},"reference":[{"issue":"9","key":"7_CR1","first-page":"3097","volume":"46","author":"P Li","year":"2020","unstructured":"Li, P., Bi, J., Yu, H., et al.: Intelligent sensing and state perception technology and application of substation equipment. J. High Volt. Technol. 46(9), 3097\u20133113 (2020)","journal-title":"J. High Volt. Technol."},{"key":"7_CR2","unstructured":"Ren, J., Yu, Z., Gao, G., et al.: New issues and key technologies for new power system planning under dual-carbon goals J. Power Syst. Equipmen (18), 41\u201342(2021)"},{"issue":"6","key":"7_CR3","first-page":"1895","volume":"46","author":"Z Zhou","year":"2020","unstructured":"Zhou, Z., Chen, Y., Pan, C., et al.: Highly reliable low-latency mobile edge computing technology for intelligent power inspection. J. High Volt. Technol. 46(6), 1895\u20131902 (2020)","journal-title":"J. High Volt. Technol."},{"key":"7_CR4","unstructured":"Wang, Z., Wang, Y., Mengsadula, et al.: Overview of 5G technology architecture and key technologies for power applications J. Power Inf. Commun. Technol. 18(8), 8\u201319 (2020)"},{"key":"7_CR5","unstructured":"Junseok, Kim, Dongmyoung, et al.: Handover procedure considering session and service continuity mode of UE in 5G core network. In: Proceedings of Symposium of the Korean Institute of Communications and Information Sciences. Seoul, Korea: s. n. pp.129\u2013130 (2017)"},{"key":"7_CR6","unstructured":"System architecture for the 5G system (5GS) (V16.7. 0; 3GPP TS 23.501 version 16.7. 0 release 16): ETSI TS 23 501\u20132021 S (2021)"},{"issue":"1","key":"7_CR7","first-page":"18","volume":"18","author":"Z Huang","year":"2020","unstructured":"Huang, Z., Liu, J., Li, Y.: Development status and application challenges in the first year of 5G commercialization. J. Power Inf. Commun. Technol. 18(1), 18\u201325 (2020)","journal-title":"J. Power Inf. Commun. Technol."},{"key":"7_CR8","unstructured":"International Electrotechnical Commission. Communication networks and systems for power utility automation-part 90\u20134: network engineering guide lines (edition 2.0): IEC\/TR 61850\u201390\u20134: 2020 S. Geneva, Switzerland: International Electrotechnical Commission (2020)"},{"issue":"8","key":"7_CR9","doi-asserted-by":"publisher","first-page":"5783","DOI":"10.1109\/TCOMM.2019.2914652","volume":"67","author":"P Popovski","year":"2019","unstructured":"Popovski, P., et al.: Wireless access in ultra-reliable low latency communication (urllc). IEEE Trans. Commun. 67(8), 5783\u20135801 (2019)","journal-title":"IEEE Trans. Commun."},{"issue":"2","key":"7_CR10","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/TNSM.2013.013013.110202","volume":"10","author":"MR Rahman","year":"2013","unstructured":"Rahman, M.R., Boutaba, R.: Svne: Survivable virtual network embedding algorithms for network virtualization. IEEE Trans. Network Serv. Manag. 10(2), 105\u2013118 (2013)","journal-title":"IEEE Trans. Network Serv. Manag."},{"issue":"1","key":"7_CR11","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1109\/COMST.2014.2355255","volume":"17","author":"A Checko","year":"2015","unstructured":"Checko, A., Christiansen, H.L., Yan, Y., et al.: Cloud RAN for mobile networks-a technology overview. J. IEEE Commun. Surv. Tutor. 17(1), 405\u2013426 (2015)","journal-title":"J. IEEE Commun. Surv. Tutor."},{"key":"7_CR12","unstructured":"Zhu, Z., You, X., Zheng, C., Li, L., Fan, B.: A location-weighted based bandwidth estimation method for power communication sites. Wide View Oper. Technol. (2018)"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Baumgartner, A., Reddy, V.S., Bauschert, T.: Combined virtual mobile core network function placement and topology optimization with latency bounds. In: 2015 Fourth European Workshop on Software Defined Networks, pp. 97\u2013102. IEEE Press, Bilbao (2015)","DOI":"10.1109\/EWSDN.2015.68"},{"key":"7_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-3-642-30045-5_13","volume-title":"NETWORKING 2012","author":"IB Barla","year":"2012","unstructured":"Barla, I.B., Schupke, D.A., Carle, G.: Resilient virtual network design for end-to-end cloud services. In: Bestak, R., Kencl, L., Li, L.E., Widmer, J., Yin, H. (eds.) NETWORKING 2012. LNCS, vol. 7289, pp. 161\u2013174. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-30045-5_13"},{"issue":"5","key":"7_CR15","doi-asserted-by":"publisher","first-page":"2759","DOI":"10.1109\/TNET.2017.2703080","volume":"25","author":"Y Kanizo","year":"2017","unstructured":"Kanizo, Y., Rottenstreich, O., Segall, I., et al.: Optimizing virtual backup allocation for middleboxes. J. IEEE\/ACM Trans. Networking 25(5), 2759\u20132772 (2017)","journal-title":"J. IEEE\/ACM Trans. Networking"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Ibn-Khedher, H., Abd-Elrahman, E., Afifi, H.: OMAC.: optimal migration algorithm for virtual CDN C\/\/2016 23rd International Conference on Telecommunications (ICT), Thessaloniki, pp.1\u20136. IEEE Press (2016)","DOI":"10.1109\/ICT.2016.7500390"},{"key":"7_CR17","doi-asserted-by":"publisher","first-page":"68183","DOI":"10.1109\/ACCESS.2020.2986050","volume":"8","author":"Y Abiko","year":"2020","unstructured":"Abiko, Y., Saito, T., Ikeda, D., et al.: Flexible resource block allocation to multiple slices for radio access network slicing using deep reinforcement learning. J. IEEE Access 8, 68183\u201368198 (2020)","journal-title":"J. IEEE Access"},{"issue":"3","key":"7_CR18","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1007\/s11107-020-00902-y","volume":"40","author":"R Vilalta","year":"2020","unstructured":"Vilalta, R., Muoz, R., Casellas, R., et al.: Experimental validation of resource allocation in transport network slicing using the ADRENALINE testbed. J. Photonic Network Commun. 40(3), 82\u201393 (2020)","journal-title":"J. Photonic Network Commun."},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez, R., Vilalta, R., Casellas, R., et al.: Network slicing resource allocation and monitoring over multiple clouds and networks. In: Optical Fiber Communications Conference and Exposition (2018)","DOI":"10.1364\/OFC.2018.Tu3D.11"},{"issue":"3","key":"7_CR20","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1109\/TNSM.2017.2723090","volume":"14","author":"L Qu","year":"2017","unstructured":"Qu, L., Assi, C., Shaban, K., et al.: A reliability-aware network service chain provisioning with delay guarantees in NFV-enabled enterprise datacenter networks. J. IEEE Trans. Network Serv. Manag. 14(3), 554\u2013568 (2017). https:\/\/doi.org\/10.1109\/TNSM.2017.2723090","journal-title":"J. IEEE Trans. Network Serv. Manag."}],"container-title":["Lecture Notes in Computer Science","Web Services \u2013 ICWS 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-44836-2_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T13:05:11Z","timestamp":1695819911000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44836-2_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031448355","9783031448362"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44836-2_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"28 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICWS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Services","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Honolulu, HI","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"23 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icws2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.servicessociety.org\/icws","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EDAS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}