{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T14:59:33Z","timestamp":1777733973880,"version":"3.51.4"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T00:00:00Z","timestamp":1725321600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T00:00:00Z","timestamp":1725321600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100021130","name":"Bundesministerium f\u00fcr Wirtschaft und Klimaschutz","doi-asserted-by":"publisher","award":["01MD22002C"],"award-info":[{"award-number":["01MD22002C"]}],"id":[{"id":"10.13039\/100021130","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004955","name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","doi-asserted-by":"publisher","award":["FO999897905"],"award-info":[{"award-number":["FO999897905"]}],"id":[{"id":"10.13039\/501100004955","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018755","name":"Universit\u00e4t Trier","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100018755","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["K\u00fcnstl Intell"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>According to the guiding principles of Industry\u00a04.0, edge computing enables the data-sovereign and near-real-time processing of data directly at the point of origin. Using these edge devices in manufacturing organization will drive the use of industrial analysis, control, and Artificial Intelligence (AI) applications close to production. The goal of the <jats:italic>EASY<\/jats:italic> project is to make the added value of edge computing available by providing an easily usable Edge-Cloud Continuum with a runtime environment and services for the execution of AI-based Analysis and Control processes. Within this continuum, a dynamic, distributed, and optimized execution of services is automated across the entire spectrum from centralized cloud to decentralized edge instances to increase productivity and resource efficiency.<\/jats:p>","DOI":"10.1007\/s13218-024-00868-3","type":"journal-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T12:03:41Z","timestamp":1725365021000},"page":"161-166","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2458-9943","authenticated-orcid":false,"given":"Alexander","family":"Schultheis","sequence":"first","affiliation":[]},{"given":"Benjamin","family":"Alt","sequence":"additional","affiliation":[]},{"given":"Sebastian","family":"Bast","sequence":"additional","affiliation":[]},{"given":"Achim","family":"Guldner","sequence":"additional","affiliation":[]},{"given":"David","family":"Jilg","sequence":"additional","affiliation":[]},{"given":"Darko","family":"Katic","sequence":"additional","affiliation":[]},{"given":"Johannes","family":"Mundorf","sequence":"additional","affiliation":[]},{"given":"Tobias","family":"Schlagenhauf","sequence":"additional","affiliation":[]},{"given":"Sebastian","family":"Weber","sequence":"additional","affiliation":[]},{"given":"Ralph","family":"Bergmann","sequence":"additional","affiliation":[]},{"given":"Simon","family":"Bergweiler","sequence":"additional","affiliation":[]},{"given":"Lars","family":"Creutz","sequence":"additional","affiliation":[]},{"given":"Guido","family":"Dartmann","sequence":"additional","affiliation":[]},{"given":"Lukas","family":"Malburg","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Naumann","sequence":"additional","affiliation":[]},{"given":"Mahdi","family":"Rezapour","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Ruskowski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,3]]},"reference":[{"issue":"1","key":"868_CR1","doi-asserted-by":"publisher","first-page":"39","DOI":"10.3233\/AIC-1994-7104","volume":"7","author":"A Aamodt","year":"1994","unstructured":"Aamodt A, Plaza E (1994) Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun 7(1):39\u201359","journal-title":"AI Commun"},{"key":"868_CR2","doi-asserted-by":"crossref","unstructured":"Alt B, Katic D, J\u00e4kel R, Beetz M (2022) Heuristic-free optimization of force-controlled robot search strategies in stochastic environments. In: IROS 2022, pp 8887\u20138893","DOI":"10.1109\/IROS47612.2022.9982093"},{"key":"868_CR3","doi-asserted-by":"crossref","unstructured":"Alt B, Katic D, J\u00e4kel, R, Beetz, M (2021) Robot program parameter inference via differentiable shadow program inversion. In: 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi\u2019an, China, 2021, pp 4672\u20134678","DOI":"10.1109\/ICRA48506.2021.9561206"},{"key":"868_CR4","doi-asserted-by":"crossref","unstructured":"Bader SR, Maleshkova M (2019) The semantic asset administration shell. In: 15th SEMANTiCS proceedings. Springer, Berlin, pp 159\u2013174","DOI":"10.1007\/978-3-030-33220-4_12"},{"key":"868_CR5","unstructured":"Bergmann R, Grumbach L, Malburg L, Zeyen C (2019) ProCAKE: a process-oriented case-based reasoning framework. In: 27th ICCBR workshop proceedings of the CEUR-WS.org"},{"key":"868_CR6","first-page":"31","volume":"626","author":"R Bergmann","year":"2018","unstructured":"Bergmann R, M\u00fcller G (2018) Similarity-based retrieval and automatic adaptation of semantic workflows. Syn Btw Know Eng Softw Eng 626:31\u201354","journal-title":"Syn Btw Know Eng Softw Eng"},{"issue":"2009","key":"868_CR7","first-page":"5","volume":"1","author":"R Bergmann","year":"2009","unstructured":"Bergmann R, Althoff KD, Minor M, Reichle, M, Bach K (2009) Case-based reasoning-introduction and recent developments. KI 1(2009):5\u201311","journal-title":"KI"},{"key":"868_CR8","unstructured":"Buduma N (2017) Fundamentals of deep learning: designing next-generation machine intelligence algorithms, 1st edn. O\u2019Reilly, Sabastopol, CA"},{"issue":"3\u20134","key":"868_CR9","doi-asserted-by":"publisher","first-page":"1763","DOI":"10.1007\/s00170-023-12027-3","volume":"128","author":"H Chu","year":"2023","unstructured":"Chu H, Dong K, Yan J, Li Z, Liu Z, Cheng Q, Zhang C (2023) Flexible process planning based on predictive models for machining time and energy consumption. Int J Adv Manuf Technol 128(3\u20134):1763\u20131780","journal-title":"Int J Adv Manuf Technol"},{"key":"868_CR10","doi-asserted-by":"crossref","unstructured":"Creutz L, Dartmann G (2020) Cypher social contracts a novel protocol specification for cyber physical smart contracts. In: IGCSC 2020, pp 440\u2013447","DOI":"10.1109\/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00083"},{"key":"868_CR11","doi-asserted-by":"crossref","unstructured":"Creutz L, Schneider J, Dartmann G (2021) Fides: distributed cyber-physical contracts. In: 3rd IEEE TPS, pp 51\u201360","DOI":"10.1109\/TPSISA52974.2021.00006"},{"key":"868_CR12","volume-title":"Fundamentals of BPM","author":"M Dumas","year":"2018","unstructured":"Dumas M, Rosa ML, Mendling J, Reijers HA (2018) Fundamentals of BPM, 2nd edn. Springer, Berlin","edition":"2"},{"key":"868_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2047-4","volume-title":"Industry 4.0: the IIoT","author":"A Gilchrist","year":"2016","unstructured":"Gilchrist A (2016) Industry 4.0: the IIoT. Springer, Berlin"},{"key":"868_CR14","doi-asserted-by":"crossref","unstructured":"Green C (1969) Application of theorem proving to problem solving. In: 1st IJCAI Proceedings, IJCAI\u201969. Morgan Kaufmann Publishers Inc., San Francisco, pp 219\u2013239","DOI":"10.21236\/ADA459656"},{"issue":"3","key":"868_CR15","first-page":"128","volume":"65","author":"J Gr\u00fcger","year":"2023","unstructured":"Gr\u00fcger J, Malburg L, Bergmann R (2023) IoT-enriched event log generation and quality analytics: a case study. IT 65(3):128\u2013138","journal-title":"IT"},{"issue":"7","key":"868_CR16","doi-asserted-by":"publisher","first-page":"e12385","DOI":"10.1111\/exsy.12385","volume":"38","author":"L Grumbach","year":"2021","unstructured":"Grumbach L, Bergmann R (2021) SEMAFLEX: a novel approach for implementing workflow flexibility by deviation based on constraint satisfaction problem solving. Expert Syst 38(7):e12385","journal-title":"Expert Syst"},{"key":"868_CR17","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1016\/j.future.2024.01.033","volume":"155","author":"A Guldner","year":"2024","unstructured":"Guldner A, Bender R, Calero C, Fernando GS, Funke M, Gr\u00f6ger J, Hilty LM, H\u00f6rnschemeyer J, Hoffmann GD, Juner D, Kennes T, Kreten S, Lago P, Mai F, Malavolta I, Murach J, Oberg\u00f6ker K, Schmidt B, Tarara A, De Veaugh-Geiss JP, Weber S, Westing M, Wohlgmuth V, Naumann S (2024) Development and evaluation of a reference measurement model for assessing the resource and energy efficiency of software products and components\u2013Green Software Measurement Model (GSMM). Future Gener Comput Syst 155:402\u2013418","journal-title":"Future Gener Comput Syst"},{"issue":"3","key":"868_CR18","first-page":"385","volume":"14","author":"KJ Hammond","year":"1990","unstructured":"Hammond KJ (1990) Case-based planning: a framework for planning from experience. Cogn Sci 14(3):385\u2013443","journal-title":"Cogn Sci"},{"key":"868_CR19","unstructured":"Haslum P (2006) Admissible heuristics for automated planning. Ph.D. thesis, Institutionen f\u00f6r datavetenskap"},{"issue":"1","key":"868_CR20","first-page":"28","volume":"7","author":"E Hozdi\u0107","year":"2015","unstructured":"Hozdi\u0107 E (2015) Smart factory for industry 4.0: a review. Int J Mod 7(1):28\u201335","journal-title":"Int J Mod"},{"key":"868_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-018-0162-3","volume":"6","author":"A Ismail","year":"2019","unstructured":"Ismail A, Truong H, Kastner W (2019) Manufacturing process data analysis pipelines: a requirements analysis and survey. J Big Data 6:1","journal-title":"J Big Data"},{"key":"868_CR22","doi-asserted-by":"crossref","unstructured":"Jazdi N (2014) Cyber physical systems in the context of Industry 4.0. In: AQTR 2014. IEEE, pp 1\u20134","DOI":"10.1109\/AQTR.2014.6857843"},{"key":"868_CR23","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.future.2018.02.044","volume":"86","author":"E Kern","year":"2018","unstructured":"Kern E, Hilty LM, Guldner A, Maksimov YV, Filler A, Gr\u00f6ger J, Naumann S (2018) Sustainable software products\u2014towards assessment criteria for resource and energy efficiency. FGCS 86:199\u2013210","journal-title":"FGCS"},{"key":"868_CR24","doi-asserted-by":"crossref","unstructured":"Khalyeyev D, Bures T, Hnetynka P (2022) Towards characterization of edge-cloud continuum. In: ECSA 2022 Proceedings of the LNCS, vol 13928. Springer, Berlin, pp 215\u2013230","DOI":"10.1007\/978-3-031-36889-9_16"},{"key":"868_CR25","unstructured":"Klein P, Malburg L, Bergmann R (2019) FTOnto: a domain ontology for a Fischertechnik simulation production factory by reusing existing ontologies. In: LWDA 2019 workshop proceedings, vol 2454. CEUR-WS.org, pp 253\u2013264"},{"key":"868_CR26","doi-asserted-by":"crossref","unstructured":"Lipp R, Schmeink A, Dartmann G, Fazli L, Vollmer T, Winter S, Peine A, Lukas M (2021) Incremental parameter estimation of stochastic state-based models. In: IEEE 19th world symposium on applied machine intelligence and informatics (SAMI), Herl\u2019any, Slovakia, pp 317\u2013322","DOI":"10.1109\/SAMI50585.2021.9378693"},{"key":"868_CR27","unstructured":"Malburg L, Bergmann R (2022) Towards adaptive workflow management by case-based reasoning and automated planning. In: 30th ICCBR Workshop Proceedings, CEUR Workshop Proceedings, vol 3389. CEUR-WS.org, pp 1\u201310"},{"key":"868_CR28","doi-asserted-by":"crossref","unstructured":"Malburg L, Brand F, Bergmann R (2023) Adaptive management of cyber-physical workflows by means of case-based reasoning and automated planning. In: EDOC workshops 2022, LNBIP, vol 466. Springer, Berlin, pp 79\u201395","DOI":"10.1007\/978-3-031-26886-1_5"},{"key":"868_CR29","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s10844-022-00766-w","volume":"61","author":"L Malburg","year":"2023","unstructured":"Malburg L, Hoffmann M, Bergmann R (2023) Applying MAPE-K control loops for adaptive workflow management in smart factories. J Intell Inf Syst 61:83\u2013111","journal-title":"J Intell Inf Syst"},{"key":"868_CR30","doi-asserted-by":"publisher","first-page":"106727","DOI":"10.1016\/j.engappai.2023.106727","volume":"126","author":"L Malburg","year":"2023","unstructured":"Malburg L, Klein P, Bergmann R (2023) Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0. Eng Appl Artif Intell 126:106727","journal-title":"Eng Appl Artif Intell"},{"key":"868_CR31","unstructured":"Malburg L, Schultheis A, Bergmann R (2023) Modeling and using complex IoT time series data in case-based reasoning: from application scenarios to implementations. In: 31st ICCBR Workshop Proceedings, pp 81\u201396"},{"key":"868_CR32","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1016\/j.procs.2021.04.009","volume":"184","author":"L Malburg","year":"2021","unstructured":"Malburg L, Rider MP, Seiger R, Klein P, Bergmann R (2021) Object detection for smart factory processes by machine learning. Proc Comput Sci 184:581\u2013588","journal-title":"Proc Comput Sci"},{"key":"868_CR33","doi-asserted-by":"crossref","unstructured":"Marrella A (2017) What automated planning can do for business process management. In: BPM 2017 Workshop Proceedings, LNBIP, vol 308. Springer, Berlin, pp 7\u201319","DOI":"10.1007\/978-3-319-74030-0_1"},{"key":"868_CR34","unstructured":"McMahan B, Moore E, Ramag D, Hampson S, y Arcas BA (2017) Communication-efficient learning of deep networks from decentralized data. In: 20th AISTATS Proceedings, vol 54. PMLR, pp 1273\u20131282"},{"issue":"11","key":"868_CR35","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/MC.2020.3007297","volume":"53","author":"D Milojicic","year":"2020","unstructured":"Milojicic D (2020) The edge-to-cloud continuum. Computer 53(11):16\u201325","journal-title":"Computer"},{"key":"868_CR36","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.is.2013.06.004","volume":"40","author":"M Minor","year":"2014","unstructured":"Minor M, Montani S, Recio-Garc\u00eda JA (2014) Process-oriented case-based reasoning. Inf Syst 40:103\u2013105","journal-title":"Inf Syst"},{"key":"868_CR37","volume-title":"Machine learning","author":"TM Mitchell","year":"1997","unstructured":"Mitchell TM (1997) Machine learning. McGraw-Hill, New York"},{"issue":"2","key":"868_CR38","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1016\/j.cirp.2016.06.005","volume":"65","author":"L Monostori","year":"2016","unstructured":"Monostori L, Botond K, Bauernhansl T, Kondoh S, Kumara S, Reinhart G, Sauer O, Schuh G, Sihn W, Ueda K (2016) Cyber-physical systems in manufacturing. Cirp Ann 65(2):621\u2013641","journal-title":"Cirp Ann"},{"key":"868_CR39","doi-asserted-by":"publisher","first-page":"131876","DOI":"10.1109\/ACCESS.2022.3229185","volume":"10","author":"S Moreschini","year":"2022","unstructured":"Moreschini S, Pecorelli F, Li X, Naz S,\u00a0H\u00e4stbacka D, Taibi D (2022) Cloud Continuum: the definition. IEEE Access 10:131876\u2013131886","journal-title":"IEEE Access"},{"issue":"1","key":"868_CR40","first-page":"1","volume":"2","author":"D Peteiro-Barral","year":"2013","unstructured":"Peteiro-Barral D, Guijarro-Berdi\u00f1as B (2013) A survey of methods for distributed machine learning. Prog AI 2(1):1\u201311","journal-title":"Prog AI"},{"key":"868_CR41","doi-asserted-by":"crossref","unstructured":"Redeker M, Volgmann S, Pethig F, Kalhoff J (2020) Towards data sovereignty of asset administration shells across value added chains. In: 25th ETFA, vol\u00a01. IEEE, pp 1151\u20131154","DOI":"10.1109\/ETFA46521.2020.9211955"},{"key":"868_CR42","unstructured":"Schultheis A (2024) Exploring a hybrid case-based reasoning approach for time series adaptation in predictive maintenance. In: 32nd ICCBR Workshop Proceedings, vol 3708. CEUR-WS.org, pp 230\u2013235"},{"key":"868_CR43","doi-asserted-by":"crossref","unstructured":"Schultheis A, Zeyen C, Bergmann R (2023) An overview and comparison of CBR frameworks. In: 31st ICCBR Proceedings of the, LNCS, vol 14141. Springer, Berlin, pp 327\u2013343","DOI":"10.1007\/978-3-031-40177-0_21"},{"key":"868_CR44","doi-asserted-by":"crossref","unstructured":"Schultheis A, Malburg L, Gr\u00fcger J, Weich J, Bertrand Y, Bergmann R, Serral Asensio E (2024) Identifying missing sensor values in IoT time series data. In: 32nd ICCBR Proceedings of the LNCS, vol 14775. Springer, Berlin, pp 240\u2013257","DOI":"10.1007\/978-3-031-63646-2_16"},{"key":"868_CR45","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1016\/j.jmsy.2022.05.012","volume":"63","author":"R Seiger","year":"2022","unstructured":"Seiger R, Malburg L, Weber B, Bergmann R (2022) Integrating process management and event processing in smart factories: a systems architecture and use cases. J Manuf Syst 63:575\u2013592","journal-title":"J Manuf Syst"},{"issue":"5","key":"868_CR46","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1109\/MC.2016.145","volume":"49","author":"W Shi","year":"2016","unstructured":"Shi W, Dustdar S (2016) The promise of edge computing. Computer 49(5):78\u201381","journal-title":"Computer"},{"key":"868_CR47","doi-asserted-by":"crossref","unstructured":"Tardieu H (2022) Role of Gaia-X in the European data space ecosystem. In: Designing data spaces: the ecosystem approach. Springer, Berlin, pp 41\u201359","DOI":"10.1007\/978-3-030-93975-5_4"},{"issue":"7","key":"868_CR48","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1109\/LSP.2019.2917495","volume":"26","author":"PM Vieting","year":"2019","unstructured":"Vieting PM, de Lamare RC, Martin L, Dartmann G, Schmeink A (2019) Likelihood-based adaptive learning in stochastic state-based models. IEEE Signal Process Lett 26(7):1031\u20131035","journal-title":"IEEE Signal Process Lett"},{"key":"868_CR49","unstructured":"Weber S, Guldner A, Fazlic LB, Dartmann G, Naumann S (2023) Sustainability in artificial intelligence\u2014towards a green AI reference model. In: K\u00fcnstliche Intelligenz in der Umweltinformatik, LNI. Gesellschaft f\u00fcr Informatik"}],"container-title":["KI - K\u00fcnstliche Intelligenz"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13218-024-00868-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13218-024-00868-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13218-024-00868-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T00:19:29Z","timestamp":1757117969000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13218-024-00868-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,3]]},"references-count":49,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["868"],"URL":"https:\/\/doi.org\/10.1007\/s13218-024-00868-3","relation":{},"ISSN":["0933-1875","1610-1987"],"issn-type":[{"value":"0933-1875","type":"print"},{"value":"1610-1987","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,3]]},"assertion":[{"value":"31 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}