{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:12:24Z","timestamp":1767183144434,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T00:00:00Z","timestamp":1697414400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["101017109"],"award-info":[{"award-number":["101017109"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Regional Government of Madrid","award":["2020-T2\/TIC-20710"],"award-info":[{"award-number":["2020-T2\/TIC-20710"]}]},{"name":"UNICO 5G I+D","award":["TSI-063000-2021-52"],"award-info":[{"award-number":["TSI-063000-2021-52"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,23]]},"DOI":"10.1145\/3565287.3610265","type":"proceedings-article","created":{"date-parts":[[2023,9,28]],"date-time":"2023-09-28T19:59:44Z","timestamp":1695931184000},"page":"51-60","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["kaNSaaS: Combining Deep Learning and Optimization for Practical Overbooking of Network Slices"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9848-0484","authenticated-orcid":false,"given":"Sergi","family":"Alcal\u00e1-Mar\u00edn","sequence":"first","affiliation":[{"name":"IMDEA Networks Institute, Madrid, Spain"},{"name":"University Carlos III of Madrid, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7367-0898","authenticated-orcid":false,"given":"Antonio","family":"Bazco-Nogueras","sequence":"additional","affiliation":[{"name":"IMDEA Networks Institute, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3544-8537","authenticated-orcid":false,"given":"Albert","family":"Banchs","sequence":"additional","affiliation":[{"name":"IMDEA Networks, Madrid, Spain"},{"name":"University Carlos III of Madrid, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0772-9967","authenticated-orcid":false,"given":"Marco","family":"Fiore","sequence":"additional","affiliation":[{"name":"IMDEA Networks Institute, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,16]]},"reference":[{"volume-title":"Dynamic Resource Allocation and Placement of Cloud Native Network Services. In IEEE Int. Conf. Commun. (ICC). 1--6.","author":"Arora S.","unstructured":"S. Arora and A. Ksentini . 2021 . Dynamic Resource Allocation and Placement of Cloud Native Network Services. In IEEE Int. Conf. Commun. (ICC). 1--6. S. Arora and A. Ksentini. 2021. Dynamic Resource Allocation and Placement of Cloud Native Network Services. In IEEE Int. Conf. Commun. (ICC). 1--6.","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","volume-title":"Proc. of IEEE INFOCOM. 1--9.","author":"Bega D.","year":"2019","unstructured":"D. Bega 2019 . DeepCog: Cognitive Network Management in Sliced 5G Networks with Deep Learning . In Proc. of IEEE INFOCOM. 1--9. D. Bega et al. 2019. DeepCog: Cognitive Network Management in Sliced 5G Networks with Deep Learning. In Proc. of IEEE INFOCOM. 1--9."},{"volume-title":"Proc. of IEEE INFOCOM. 1--9.","author":"Bega D.","unstructured":"D. Bega , M. Gramaglia , A. B., V. Sciancalepore , K. Samdanis , and X. Costa-Perez . 2017. Optimising 5G infrastructure markets: The business of network slicing . In Proc. of IEEE INFOCOM. 1--9. D. Bega, M. Gramaglia, A. B., V. Sciancalepore, K. Samdanis, and X. Costa-Perez. 2017. Optimising 5G infrastructure markets: The business of network slicing. In Proc. of IEEE INFOCOM. 1--9.","key":"e_1_3_2_1_3_1"},{"volume-title":"2021 IEEE Global Communications Conf. (GLOBECOM). 1--6.","author":"Ben-Ameur W.","unstructured":"W. Ben-Ameur , L. Cano , and T. Chahed . 2021. A framework for joint admission control, resource allocation and pricing for network slicing in 5G . In 2021 IEEE Global Communications Conf. (GLOBECOM). 1--6. W. Ben-Ameur, L. Cano, and T. Chahed. 2021. A framework for joint admission control, resource allocation and pricing for network slicing in 5G. In 2021 IEEE Global Communications Conf. (GLOBECOM). 1--6.","key":"e_1_3_2_1_4_1"},{"unstructured":"M. Burman and M. Gall. 2022. Ericsson and Red Hat empower service providers to build multi-vendor networks.  M. Burman and M. Gall. 2022. Ericsson and Red Hat empower service providers to build multi-vendor networks.","key":"e_1_3_2_1_5_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1109\/TNET.2017.2720668"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1109\/TWC.2018.2859918"},{"unstructured":"S. Gholamipour B. Akbari N. Mokari M. M. Tajiki and E. A. Jorswieck. 2021. Online Admission Control and Resource Allocation in Network Slicing under Demand Uncertainties.  S. Gholamipour B. Akbari N. Mokari M. M. Tajiki and E. A. Jorswieck. 2021. Online Admission Control and Resource Allocation in Network Slicing under Demand Uncertainties.","key":"e_1_3_2_1_8_1"},{"volume-title":"Joint European Conf. on Networks and Commun. & 6G Summit (EuCNC\/6G Summit). 329--334","author":"Giannopoulos D.","unstructured":"D. Giannopoulos , P. Papaioannou , C. Tranoris , and S. Denazis . 2021. Monitoring as a Service over a 5G Network Slice . In Joint European Conf. on Networks and Commun. & 6G Summit (EuCNC\/6G Summit). 329--334 . D. Giannopoulos, P. Papaioannou, C. Tranoris, and S. Denazis. 2021. Monitoring as a Service over a 5G Network Slice. In Joint European Conf. on Networks and Commun. & 6G Summit (EuCNC\/6G Summit). 329--334.","key":"e_1_3_2_1_9_1"},{"key":"e_1_3_2_1_10_1","volume-title":"Schotten","author":"Han B.","year":"2019","unstructured":"B. Han , V. Sciancalepore , D. Feng , X. Costa-Perez , and Hans D . Schotten . 2019 . A Utility-Driven Multi-Queue Admission Control Solution for Network Slicing. In Proc. of IEEE INFOCOM. 55--63. B. Han, V. Sciancalepore, D. Feng, X. Costa-Perez, and Hans D. Schotten. 2019. A Utility-Driven Multi-Queue Admission Control Solution for Network Slicing. In Proc. of IEEE INFOCOM. 55--63."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1109\/JSAC.2019.2959185"},{"key":"e_1_3_2_1_12_1","volume-title":"Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey. Sensors 22, 8","author":"Hurtado S\u00e1nchez J. A.","year":"2022","unstructured":"J. A. Hurtado S\u00e1nchez , K. Casilimas , and O. M. Caicedo Rendon . 2022. Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey. Sensors 22, 8 ( 2022 ). J. A. Hurtado S\u00e1nchez, K. Casilimas, and O. M. Caicedo Rendon. 2022. Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey. Sensors 22, 8 (2022)."},{"volume-title":"Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics. In Int. Conf. on Network and Service Management (CNSM). 1--5.","author":"Koo J.","unstructured":"J. Koo , V. B. Mendiratta , M. R. Rahman , and A. Walid . 2019 . Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics. In Int. Conf. on Network and Service Management (CNSM). 1--5. J. Koo, V. B. Mendiratta, M. R. Rahman, and A. Walid. 2019. Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics. In Int. Conf. on Network and Service Management (CNSM). 1--5.","key":"e_1_3_2_1_13_1"},{"volume-title":"EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning. In IEEE Int. Conf. on Distributed Computing Systems (ICDCS). 234--244","author":"Liu Q.","unstructured":"Q. Liu , T. Han , and E. Moges . 2020 . EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning. In IEEE Int. Conf. on Distributed Computing Systems (ICDCS). 234--244 . Q. Liu, T. Han, and E. Moges. 2020. EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning. In IEEE Int. Conf. on Distributed Computing Systems (ICDCS). 234--244.","key":"e_1_3_2_1_14_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1109\/MWC.104.2100380"},{"doi-asserted-by":"crossref","unstructured":"L. Lo Schiavo M. Fiore M. Gramaglia A. Banchs and X. Costa-Perez. 2022. Forecasting for Network Management with Joint Statistical Modelling and Machine Learning. (2022).  L. Lo Schiavo M. Fiore M. Gramaglia A. Banchs and X. Costa-Perez. 2022. Forecasting for Network Management with Joint Statistical Modelling and Machine Learning. (2022).","key":"e_1_3_2_1_16_1","DOI":"10.1109\/WoWMoM54355.2022.00028"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1109\/JSAC.2019.2927068"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1109\/TNSM.2021.3058139"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1016\/j.ijforecast.2019.04.014"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1109\/TNSM.2019.2923265"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.5555\/98124"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.5555\/98124"},{"unstructured":"F. Patzelt. 2022. Colored Noise. https:\/\/github.com\/felixpatzelt\/colorednoise.  F. Patzelt. 2022. Colored Noise. https:\/\/github.com\/felixpatzelt\/colorednoise.","key":"e_1_3_2_1_23_1"},{"volume-title":"2021 Int. Conf. on Computer Communications and Networks (ICCCN). 1--9.","author":"Pino A.","unstructured":"A. Pino , P. Khodashenas , X. Hesselbach , E. Coronado , and S. Siddiqui . 2021. Validation and Benchmarking of CNFs in OSM for pure Cloud Native applications in 5G and beyond . In 2021 Int. Conf. on Computer Communications and Networks (ICCCN). 1--9. A. Pino, P. Khodashenas, X. Hesselbach, E. Coronado, and S. Siddiqui. 2021. Validation and Benchmarking of CNFs in OSM for pure Cloud Native applications in 5G and beyond. In 2021 Int. Conf. on Computer Communications and Networks (ICCCN). 1--9.","key":"e_1_3_2_1_24_1"},{"unstructured":"JE Rachid and J Erfanian. 2015. NGMN 5G Initiative White Paper.  JE Rachid and J Erfanian. 2015. NGMN 5G Initiative White Paper.","key":"e_1_3_2_1_25_1"},{"volume-title":"Proc. Int. Conf. Emerging Networking EXperiments and Technologies (CoNEXT). 353--365","author":"Salvat J. X.","unstructured":"J. X. Salvat , L. Zanzi , A. Garcia-Saavedra , V. Sciancalepore , and X. Costa-Perez . 2018. Overbooking Network Slices through Yield-Driven End-to-End Orchestration . In Proc. Int. Conf. Emerging Networking EXperiments and Technologies (CoNEXT). 353--365 . J. X. Salvat, L. Zanzi, A. Garcia-Saavedra, V. Sciancalepore, and X. Costa-Perez. 2018. Overbooking Network Slices through Yield-Driven End-to-End Orchestration. In Proc. Int. Conf. Emerging Networking EXperiments and Technologies (CoNEXT). 353--365.","key":"e_1_3_2_1_26_1"},{"volume-title":"NOMS 2022-2022 IEEE\/IFIP Network Operations and Management Symposium. 1--7.","author":"Saxena S.","unstructured":"S. Saxena and K. M. Sivalingam . 2022. Slice admission control using overbooking for enhancing provider revenue in 5G Networks . In NOMS 2022-2022 IEEE\/IFIP Network Operations and Management Symposium. 1--7. S. Saxena and K. M. Sivalingam. 2022. Slice admission control using overbooking for enhancing provider revenue in 5G Networks. In NOMS 2022-2022 IEEE\/IFIP Network Operations and Management Symposium. 1--7.","key":"e_1_3_2_1_27_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1109\/TNET.2020.3004443"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_29_1","DOI":"10.1109\/ACCESS.2021.3050155"},{"volume-title":"The theory and practice of revenue management","author":"Talluri K. T.","unstructured":"K. T. Talluri and G. Van Ryzin . 2004. The theory and practice of revenue management . Vol. 1 . Springer . K. T. Talluri and G. Van Ryzin. 2004. The theory and practice of revenue management. Vol. 1. Springer.","key":"e_1_3_2_1_30_1"},{"unstructured":"Z. Tang F. Zhang X. Zhou W. Jia and W. Zhao. 2022. Pricing Model for Dynamic Resource Overbooking in Edge Computing. IEEE Transactions on Cloud Computing (2022).  Z. Tang F. Zhang X. Zhou W. Jia and W. Zhao. 2022. Pricing Model for Dynamic Resource Overbooking in Edge Computing. IEEE Transactions on Cloud Computing (2022).","key":"e_1_3_2_1_31_1"},{"volume-title":"The Linux Foundation and Google Cloud Launch Nephio to Enable and Simplify Cloud Native Automation of Telecom Network Functions. Consulted on March 10th","year":"2023","unstructured":"The Linux Foundation. 2022. The Linux Foundation and Google Cloud Launch Nephio to Enable and Simplify Cloud Native Automation of Telecom Network Functions. Consulted on March 10th 2023 . The Linux Foundation. 2022. The Linux Foundation and Google Cloud Launch Nephio to Enable and Simplify Cloud Native Automation of Telecom Network Functions. Consulted on March 10th 2023.","key":"e_1_3_2_1_32_1"},{"volume-title":"Int. Conf. on Software, Telecommunications and Computer Networks. IEEE, 1--5.","author":"Tikunov D.","unstructured":"D. Tikunov and T. Nishimura . 2007. Traffic prediction for mobile network using Holt-Winter's exponential smoothing . In Int. Conf. on Software, Telecommunications and Computer Networks. IEEE, 1--5. D. Tikunov and T. Nishimura. 2007. Traffic prediction for mobile network using Holt-Winter's exponential smoothing. In Int. Conf. on Software, Telecommunications and Computer Networks. IEEE, 1--5.","key":"e_1_3_2_1_33_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_34_1","DOI":"10.1109\/ACCESS.2019.2953498"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_35_1","DOI":"10.1109\/JSAC.2019.2904371"},{"volume-title":"Proc. of ACM SIGCOMM. 144--146","author":"Zanzi L.","unstructured":"L. Zanzi , J. X. Salvat , V. Sciancalepore , A. Garcia-Saavedra , and X. Costa-Perez . 2018. Overbooking Network Slices End-to-End: Implementation and Demonstration . In Proc. of ACM SIGCOMM. 144--146 . L. Zanzi, J. X. Salvat, V. Sciancalepore, A. Garcia-Saavedra, and X. Costa-Perez. 2018. Overbooking Network Slices End-to-End: Implementation and Demonstration. In Proc. of ACM SIGCOMM. 144--146.","key":"e_1_3_2_1_36_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_37_1","DOI":"10.1109\/TNET.2018.2870184"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_38_1","DOI":"10.1109\/MCOM.2016.7509393"}],"event":{"sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"],"acronym":"MobiHoc '23","name":"MobiHoc '23: Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","location":"Washington DC USA"},"container-title":["Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3565287.3610265","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:43Z","timestamp":1750178263000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3565287.3610265"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,16]]},"references-count":38,"alternative-id":["10.1145\/3565287.3610265","10.1145\/3565287"],"URL":"https:\/\/doi.org\/10.1145\/3565287.3610265","relation":{},"subject":[],"published":{"date-parts":[[2023,10,16]]},"assertion":[{"value":"2023-10-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}