{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T15:10:22Z","timestamp":1723475422865},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T00:00:00Z","timestamp":1707782400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T00:00:00Z","timestamp":1707782400000},"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":["Cluster Comput"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s10586-023-04186-5","type":"journal-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T15:02:26Z","timestamp":1707836546000},"page":"5845-5865","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["BPaaS placement over optimum cloud availability zones"],"prefix":"10.1007","volume":"27","author":[{"given":"Ameni","family":"Hedhli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haithem","family":"Mezni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lamjed","family":"Ben Said","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,13]]},"reference":[{"key":"4186_CR1","doi-asserted-by":"crossref","unstructured":"Accorsi, R.: Business process as a service: chances for remote auditing. In: IEEE 35th Annual Computer Software and Applications Conference Workshops. IEEE 2011, 398\u2013403 (2011)","DOI":"10.1109\/COMPSACW.2011.73"},{"key":"4186_CR2","doi-asserted-by":"crossref","unstructured":"Rekik, M., Wakrime, A.A., Cheniki, N., Sam, Y.: On the fly reconfiguration of BPaaS based on SaaS services federation and sat solving techniques. In: 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), IEEE, pp. 37\u201342 (2019)","DOI":"10.1109\/WETICE.2019.00016"},{"issue":"3","key":"4186_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10723-021-09565-z","volume":"19","author":"A Hedhli","year":"2021","unstructured":"Hedhli, A., Mezni, H.: A survey of service placement in cloud environments. J. Grid Comput. 19(3), 1\u201332 (2021)","journal-title":"J. Grid Comput."},{"key":"4186_CR4","unstructured":"Hedhli, A., Mezni, H.: A dfa-based approach for the deployment of BPaaS fragments in the cloud. Concurrency and Computation: Practice and Experience"},{"key":"4186_CR5","doi-asserted-by":"crossref","unstructured":"Hedhli, A., Mezni, H., Said, L.B.: A quantum-inspired neural network model for predictive bpaas management. In: International Conference on Database and Expert Systems Applications, pp. 91\u2013103. Springer (2021)","DOI":"10.1007\/978-3-030-86472-9_8"},{"key":"4186_CR6","doi-asserted-by":"crossref","unstructured":"Kritikos, K., Zeginis, C., Griesinger, F., Seybold, D., Domaschka, J.: A cross-layer bpaas adaptation framework. In: 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud), IEEE, pp. 241\u2013248 (2017)","DOI":"10.1109\/FiCloud.2017.12"},{"key":"4186_CR7","doi-asserted-by":"crossref","unstructured":"Gomez-Perez, J.M., Pan, J.Z., Vetere, G., Wu, H.: Enterprise knowledge graph: An introduction. In: Exploiting Linked Data and Knowledge Graphs in Large Organisations, pp. 1\u201314. Springer (2017)","DOI":"10.1007\/978-3-319-45654-6_1"},{"key":"4186_CR8","unstructured":"Song, D., Schilder, F., Hertz, S., Saltini, G., Smiley, C., Nivarthi, P., Hazai, O., Landau, D., Zaharkin, M., Zielund, T. et\u00a0al.: Building and querying an enterprise knowledge graph. IEEE Trans. Serv. Comput."},{"key":"4186_CR9","doi-asserted-by":"crossref","unstructured":"Cinpoeru, M., Ghiran, A.-M., Harkai, A., Buchmann, R.A., Karagiannis, D.: Model-driven context configuration in business process management systems: An approach based on knowledge graphs. In: International Conference on Business Informatics Research, pp. 189\u2013203. Springer (2019)","DOI":"10.1007\/978-3-030-31143-8_14"},{"key":"4186_CR10","unstructured":"Aswani, J., Leask, R., Doerpmund, J.: Representing enterprise data in a knowledge graph, uS Patent 10,740,396 (2020)"},{"key":"4186_CR11","doi-asserted-by":"publisher","first-page":"148541","DOI":"10.1109\/ACCESS.2020.3008964","volume":"8","author":"KP Joshi","year":"2020","unstructured":"Joshi, K.P., Elluri, L., Nagar, A.: An integrated knowledge graph to automate cloud data compliance. IEEE Access 8, 148541\u2013148555 (2020)","journal-title":"IEEE Access"},{"issue":"12","key":"4186_CR12","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.14778\/3352063.3352105","volume":"12","author":"H Wang","year":"2019","unstructured":"Wang, H., Nguyen, P., Li, J., Kopru, S., Zhang, G., Katariya, S., Ben-Romdhane, S.: Grano: interactive graph-based root cause analysis for cloud-native distributed data platform. Proc. VLDB Endow. 12(12), 1942\u20131945 (2019)","journal-title":"Proc. VLDB Endow."},{"key":"4186_CR13","doi-asserted-by":"crossref","unstructured":"Xiong, S., Zhu, F., Yao, Y., Tang, W.: A description method of cloud simulation model resources based on knowledge graph. In: 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), IEEE, pp. 655\u2013663 (2019)","DOI":"10.1109\/ICCCBDA.2019.8725713"},{"issue":"06","key":"4186_CR14","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1142\/S0218194020400069","volume":"30","author":"Q Wu","year":"2020","unstructured":"Wu, Q., Fu, D., Shen, B., Chen, Y.: Semantic service search in it crowdsourcing platform: a knowledge graph-based approach. Int. J. Softw. Eng. Knowl. Eng. 30(06), 765\u2013783 (2020)","journal-title":"Int. J. Softw. Eng. Knowl. Eng."},{"key":"4186_CR15","unstructured":"Mezni, H., Benslimane, D., Bellatrache, L.: Context-aware service recommendation based on knowledge graph embedding. IEEE Trans. Knowl. Data Eng., pp. 1\u201314 (2021)"},{"key":"4186_CR16","doi-asserted-by":"crossref","unstructured":"Chen, X., Jia, S., Xiang, Y.: A review: knowledge reasoning over knowledge graph. Expert Syst. Appl., p. 112948 (2019)","DOI":"10.1016\/j.eswa.2019.112948"},{"issue":"12","key":"4186_CR17","doi-asserted-by":"publisher","first-page":"2724","DOI":"10.1109\/TKDE.2017.2754499","volume":"29","author":"Q Wang","year":"2017","unstructured":"Wang, Q., Mao, Z., Wang, B., Guo, L.: Knowledge graph embedding: a survey of approaches and applications. IEEE Trans. Knowl. Data Eng. 29(12), 2724\u20132743 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"4186_CR18","doi-asserted-by":"crossref","unstructured":"Huang, Z., Huai, J., Liu, X., Zhu, J.: Business process decomposition based on service relevance mining. In: 2010 IEEE\/WIC\/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol.\u00a01, IEEE, pp. 573\u2013580 (2010)","DOI":"10.1109\/WI-IAT.2010.21"},{"key":"4186_CR19","doi-asserted-by":"crossref","unstructured":"Grati, R., Boukadi, K., Ben-Abdallah, H.: Business adaptation for bpaas using fuzzy logic systems. In: 2017 IEEE\/ACS 14th International Conference on Computer Systems and Applications (AICCSA), IEEE, pp. 645\u2013651 (2017)","DOI":"10.1109\/AICCSA.2017.148"},{"key":"4186_CR20","doi-asserted-by":"crossref","unstructured":"Woitsch, R., Utz, W.: Business process as a service (BPaaS). In: Conference on e-Business, e-Services and e-Society, pp. 435\u2013440. Springer (2015)","DOI":"10.1007\/978-3-319-25013-7_35"},{"key":"4186_CR21","doi-asserted-by":"crossref","unstructured":"Moreno-Vozmediano, R., Montero, R., Huedo, E., Llorente, I.: Orchestrating the deployment of high availability services on multi-zone and multi-cloud scenarios. J. Grid Comput., pp. 1\u201315 (2017)","DOI":"10.1007\/s10723-017-9417-z"},{"key":"4186_CR22","unstructured":"Gao, M., Yin, Y., Wang, X.: BPaaS: a platform for artifact-centric business process customization in cloud computing"},{"key":"4186_CR23","unstructured":"Paschek, D., Trusculescu, A., Mateescu, A., Draghici, A. et\u00a0al.: Business process as a service-a flexible approach for it service management and business process outsourcing. In: Management Challenges in a Network Economy: Proceedings of the MakeLearn and TIIM International Conference 2017, ToKnowPress, pp. 195\u2013203 (2017)"},{"key":"4186_CR24","doi-asserted-by":"crossref","unstructured":"Nacer, A.A., Goettelmann, E., Youcef, S., Tari, A., Godart, C.: Obfuscating a business process by splitting its logic with fake fragments for securing a multi-cloud deployment. In: IEEE World Congress on Services (SERVICES). IEEE 2016, 18\u201325 (2016)","DOI":"10.1109\/SERVICES.2016.9"},{"key":"4186_CR25","doi-asserted-by":"crossref","unstructured":"Chen, X., Chen, M., Shi, W., Sun, Y., Zaniolo, C.: Embedding uncertain knowledge graphs. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a033, pp. 3363\u20133370 (2019)","DOI":"10.1609\/aaai.v33i01.33013363"},{"issue":"1","key":"4186_CR26","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/TKDE.2016.2598561","volume":"29","author":"C Shi","year":"2016","unstructured":"Shi, C., Li, Y., Zhang, J., Sun, Y., Philip, S.Y.: A survey of heterogeneous information network analysis. IEEE Trans. Knowl. Data Eng. 29(1), 17\u201337 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"4186_CR27","first-page":"1","volume":"48","author":"L Ehrlinger","year":"2016","unstructured":"Ehrlinger, L., W\u00f6\u00df, W.: Towards a definition of knowledge graphs. SEMANTiCS (Posters, Demos, SuCCESS) 48, 1\u20134 (2016)","journal-title":"SEMANTiCS (Posters, Demos, SuCCESS)"},{"key":"4186_CR28","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhang, J., Feng, J., Chen, Z.: Knowledge graph embedding by translating on hyperplanes. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a028 (2014)","DOI":"10.1609\/aaai.v28i1.8870"},{"issue":"9","key":"4186_CR29","doi-asserted-by":"publisher","first-page":"1616","DOI":"10.1109\/TKDE.2018.2807452","volume":"30","author":"H Cai","year":"2018","unstructured":"Cai, H., Zheng, V.W., Chang, K.C.-C.: A comprehensive survey of graph embedding: problems, techniques, and applications. IEEE Trans. Knowl. Data Eng. 30(9), 1616\u20131637 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"4186_CR30","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.aiopen.2021.01.001","volume":"1","author":"J Zhou","year":"2020","unstructured":"Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., Sun, M.: Graph neural networks: a review of methods and applications. AI Open 1, 57\u201381 (2020)","journal-title":"AI Open"},{"key":"4186_CR31","unstructured":"Maheshwari, A., Goyal, A., Hanawal, M.K., Ramakrishnan, G.: Dyngan: generative adversarial networks for dynamic network embedding. In: Graph Representation Learning Workshop at NeurIPS (2019)"},{"key":"4186_CR32","doi-asserted-by":"crossref","unstructured":"Dong, Y., Chawla, N.V., Swami, A.: metapath2vec: Scalable representation learning for heterogeneous networks. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 135\u2013144 (2017)","DOI":"10.1145\/3097983.3098036"},{"key":"4186_CR33","doi-asserted-by":"crossref","unstructured":"Hajji, M.A., Mezni, H.: A composite particle swarm optimization approach for the composite SaaS placement in cloud environment. Soft Comput., pp. 1\u201321 (2017)","DOI":"10.1007\/s00500-017-2613-8"},{"key":"4186_CR34","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.tcs.2019.03.033","volume":"803","author":"X Han","year":"2020","unstructured":"Han, X., Zhang, C., Guo, C., Ji, Y., Hu, Z.: Distributed representation of knowledge graphs with subgraph-aware proximity. Theor. Comput. Sci. 803, 48\u201356 (2020)","journal-title":"Theor. Comput. Sci."},{"key":"4186_CR35","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.inffus.2017.02.007","volume":"38","author":"J Zhao","year":"2017","unstructured":"Zhao, J., Xie, X., Xu, X., Sun, S.: Multi-view learning overview: recent progress and new challenges. Inf. Fus. 38, 43\u201354 (2017)","journal-title":"Inf. Fus."},{"key":"4186_CR36","unstructured":"Xu, C., Tao, D., Xu, C.: A survey on multi-view learning. arXiv preprint arXiv:1304.5634"},{"key":"4186_CR37","doi-asserted-by":"crossref","unstructured":"Kim, D., Xie, L., Ong, C.S.: Probabilistic knowledge graph construction: Compositional and incremental approaches. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 2257\u20132262 (2016)","DOI":"10.1145\/2983323.2983677"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-023-04186-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-023-04186-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-023-04186-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T14:34:05Z","timestamp":1723473245000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-023-04186-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,13]]},"references-count":37,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["4186"],"URL":"https:\/\/doi.org\/10.1007\/s10586-023-04186-5","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"type":"print","value":"1386-7857"},{"type":"electronic","value":"1573-7543"}],"subject":[],"published":{"date-parts":[[2024,2,13]]},"assertion":[{"value":"27 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 October 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interest"}}]}}