{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T19:48:45Z","timestamp":1783712925651,"version":"3.55.0"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031074714","type":"print"},{"value":"9783031074721","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-07472-1_6","type":"book-chapter","created":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T04:05:40Z","timestamp":1654142740000},"page":"93-108","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Towards Greener Applications: Enabling Sustainable-aware Cloud Native Applications Design"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5258-1893","authenticated-orcid":false,"given":"Monica","family":"Vitali","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,6,3]]},"reference":[{"key":"6_CR1","unstructured":"Acton, M., et al.: 2018 best practice guidelines for the EU code of conduct on data centre energy efficiency. Technical report. EUR 29103 EN, 2018, Publications Office of the European Union, Luxembourg (2017)"},{"issue":"10","key":"6_CR2","doi-asserted-by":"publisher","first-page":"3037","DOI":"10.1109\/JLT.2021.3063325","volume":"39","author":"OO Ajibola","year":"2021","unstructured":"Ajibola, O.O., El-Gorashi, T.E., Elmirghani, J.M.: Energy efficient placement of workloads in composable data center networks. J. Lightwave Technol. 39(10), 3037\u20133063 (2021)","journal-title":"J. Lightwave Technol."},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"1081","DOI":"10.1016\/j.future.2019.07.032","volume":"101","author":"Y Aldwyan","year":"2019","unstructured":"Aldwyan, Y., Sinnott, R.O.: Latency-aware failover strategies for containerized web applications in distributed clouds. FGCS 101, 1081\u20131095 (2019)","journal-title":"FGCS"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Benoit, A., Lefevre, L.E.A.: Reducing the energy consumption of large-scale computing systems through combined shutdown policies with multiple constraints. Int. J. High Perform. Comput. Appl. 32(1), 176\u2013188 (2018)","DOI":"10.1177\/1094342017714530"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"vom Brocke, J., et al.: Green information systems: directives for the IS discipline. Commun. Assoc. Inf. Syst. 33(1), 30 (2013)","DOI":"10.17705\/1CAIS.03330"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Brondolin, R., et al.: DEEP-Mon: dynamic and energy efficient power monitoring for container-based infrastructures. In: IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 676\u2013684, May 2018","DOI":"10.1109\/IPDPSW.2018.00110"},{"issue":"4","key":"6_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3418899","volume":"17","author":"R Brondolin","year":"2020","unstructured":"Brondolin, R., Santambrogio, M.D.: A black-box monitoring approach to measure microservices runtime performance. ACM Trans. Arch. Code Optim. (TACO) 17(4), 1\u201326 (2020)","journal-title":"ACM Trans. Arch. Code Optim. (TACO)"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Cappiello, C., Fugini, M., Ferreira, A.M., Plebani, P., Vitali, M.: Business process co-design for energy-aware adaptation. In: ICCP, pp. 463\u2013470. IEEE (2011)","DOI":"10.1109\/ICCP.2011.6047917"},{"key":"6_CR9","unstructured":"CNCF: Cloud Native Computing Foundation Annual Survey 2021. Technical report, CNCF, February 2022. https:\/\/www.cncf.io\/wp-content\/uploads\/2022\/02\/CNCF-AR_FINAL-edits-15.2.21.pdf"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"B\u00e9ziers la Fosse, T., Tisi, M., Mottu, J.M., Suny\u00e9, G.: Annotating executable DSLs with energy estimation formulas. In: Proceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering, pp. 22\u201338 (2020)","DOI":"10.1145\/3426425.3426930"},{"issue":"5","key":"6_CR11","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/MCC.2017.4250939","volume":"4","author":"D Gannon","year":"2017","unstructured":"Gannon, D., Barga, R., Sundaresan, N.: Cloud-native applications. IEEE Cloud Comput. 4(5), 16\u201321 (2017)","journal-title":"IEEE Cloud Comput."},{"key":"6_CR12","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1016\/j.econmod.2016.11.012","volume":"61","author":"H Garrett-Peltier","year":"2017","unstructured":"Garrett-Peltier, H.: Green versus brown: comparing the employment impacts of energy efficiency, renewable energy, and fossil fuels using an input-output model. Econ. Model. 61, 439\u2013447 (2017)","journal-title":"Econ. Model."},{"key":"6_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2020.102127","volume":"104","author":"N Gholipour","year":"2020","unstructured":"Gholipour, N., et al.: A novel energy-aware resource management technique using joint VM and container consolidation approach for green computing in cloud data centers. Simul. Model. Pract. Theory 104, 102127 (2020)","journal-title":"Simul. Model. Pract. Theory"},{"issue":"4","key":"6_CR14","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1145\/2499368.2451123","volume":"48","author":"\u00cd Goiri","year":"2013","unstructured":"Goiri, \u00cd., et al.: Parasol and greenswitch: managing datacenters powered by renewable energy. ACM SIGPLAN Not. 48(4), 51\u201364 (2013)","journal-title":"ACM SIGPLAN Not."},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Guizzardi, R.S., Perini, A.: Goal-oriented decision modeling: a position paper. In: iSTAR@ CAiSE (2018)","DOI":"10.1007\/978-3-319-92901-9_12"},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.dss.2017.12.008","volume":"107","author":"F Hasi\u0107","year":"2018","unstructured":"Hasi\u0107, F., De Smedt, J., et al.: Augmenting processes with decision intelligence: principles for integrated modelling. Decis. Support Syst. 107, 1\u201312 (2018)","journal-title":"Decis. Support Syst."},{"issue":"2","key":"6_CR17","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s00766-017-0280-z","volume":"24","author":"J Horkoff","year":"2017","unstructured":"Horkoff, J., et al.: Goal-oriented requirements engineering: an extended systematic mapping study. Requirements Eng. 24(2), 133\u2013160 (2017). https:\/\/doi.org\/10.1007\/s00766-017-0280-z","journal-title":"Requirements Eng."},{"issue":"1","key":"6_CR18","doi-asserted-by":"publisher","first-page":"148","DOI":"10.35833\/MPCE.2019.000052","volume":"9","author":"X Hu","year":"2021","unstructured":"Hu, X., Li, P., Sun, Y.: Minimizing energy cost for green data center by exploring heterogeneous energy resource. J. Mod. Power Syst. Clean Energy 9(1), 148\u2013159 (2021)","journal-title":"J. Mod. Power Syst. Clean Energy"},{"key":"6_CR19","unstructured":"Knight, W.: AI can do great things - if it doesn\u2019t burn the planet. https:\/\/www.wired.com\/story\/ai-great-things-burn-planet (2020)"},{"key":"6_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jss.2017.01.001","volume":"126","author":"N Kratzke","year":"2017","unstructured":"Kratzke, N., Quint, P.C.: Understanding cloud-native applications after 10 years of cloud computing-a systematic mapping study. J. Syst. Softw. 126, 1\u201316 (2017)","journal-title":"J. Syst. Softw."},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Renewable and cooling aware workload management for sustainable data centers. In: Proceedings of the 12th International Conference on Measurement and Modeling of Computer Systems, pp. 175\u2013186 (2012)","DOI":"10.1145\/2254756.2254779"},{"issue":"4","key":"6_CR22","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/s12599-011-0165-5","volume":"3","author":"P Loos","year":"2011","unstructured":"Loos, P., Nebel, W., et al.: Green it: a matter of business and information systems engineering? Bus. Inf. Syst. Eng. 3(4), 245\u2013252 (2011)","journal-title":"Bus. Inf. Syst. Eng."},{"key":"6_CR23","unstructured":"Lottick, K., Susai, S., Friedler, S.A., Wilson, J.P.: Energy usage reports: environmental awareness as part of algorithmic accountability. arXiv:1911.08354 (2019)"},{"issue":"2","key":"6_CR24","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1007\/s11948-019-00171-7","volume":"26","author":"F Lucivero","year":"2020","unstructured":"Lucivero, F.: Big data, big waste? A reflection on the environmental sustainability of big data initiatives. Sci. Eng. Ethics 26(2), 1009\u20131030 (2020)","journal-title":"Sci. Eng. Ethics"},{"issue":"6481","key":"6_CR25","doi-asserted-by":"publisher","first-page":"984","DOI":"10.1126\/science.aba3758","volume":"367","author":"E Masanet","year":"2020","unstructured":"Masanet, E., Shehabi, A., Lei, N., Smith, S., Koomey, J.: Recalibrating global data center energy-use estimates. Science 367(6481), 984\u2013986 (2020)","journal-title":"Science"},{"issue":"8","key":"6_CR26","doi-asserted-by":"publisher","first-page":"1403","DOI":"10.1007\/s11548-019-01982-6","volume":"14","author":"J Neumann","year":"2019","unstructured":"Neumann, J., Franke, S., Rockstroh, M., Kasparick, M., Neumuth, T.: Extending BPMN 2.0 for intraoperative workflow modeling with IEEE 11073 SDC for description and orchestration of interoperable, networked medical devices. Int. J. Comput. Assist. Radiol. Surg. 14(8), 1403\u20131413 (2019). https:\/\/doi.org\/10.1007\/s11548-019-01982-6","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"6","key":"6_CR27","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/s00607-012-0188-x","volume":"94","author":"A Nowak","year":"2012","unstructured":"Nowak, A., Binz, T., et al.: Pattern-driven green adaptation of process-based applications and their runtime infrastructure. Computing 94(6), 463\u2013487 (2012)","journal-title":"Computing"},{"key":"6_CR28","unstructured":"OMG: Business Process Model and Notation (BPMN), Version 2.0. Technical report, Object Management Group, January 2011. http:\/\/www.omg.org\/spec\/BPMN\/2.0"},{"key":"6_CR29","unstructured":"OMG: Decision model and notation version 1.3. Technical report, OMG (2019)"},{"issue":"10","key":"6_CR30","doi-asserted-by":"publisher","first-page":"1465","DOI":"10.1109\/TCAD.2012.2212898","volume":"31","author":"M Pedram","year":"2012","unstructured":"Pedram, M.: Energy-efficient datacenters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(10), 1465\u20131484 (2012)","journal-title":"IEEE Trans. Comput. Aided Des. Integr. Circuits Syst."},{"key":"6_CR31","doi-asserted-by":"publisher","first-page":"103209","DOI":"10.1109\/ACCESS.2019.2930368","volume":"7","author":"JM Pierson","year":"2019","unstructured":"Pierson, J.M., Baudic, G., et al.: Datazero: datacenter with zero emission and robust management using renewable energy. IEEE Access 7, 103209\u2013103230 (2019)","journal-title":"IEEE Access"},{"key":"6_CR32","doi-asserted-by":"crossref","unstructured":"Schneider, J., Basalla, M., Seidel, S.: Principles of green data mining. In: Proceedings of the 52nd Hawaii International Conference on System Sciences (2019)","DOI":"10.24251\/HICSS.2019.250"},{"key":"6_CR33","unstructured":"Singh, H., et al.: Data center maturity model. Techn. Ber, The Green Grid (2011)"},{"key":"6_CR34","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.future.2019.02.019","volume":"96","author":"GL Stavrinides","year":"2019","unstructured":"Stavrinides, G.L., Karatza, H.D.: An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations. FGCS 96, 216\u2013226 (2019)","journal-title":"FGCS"},{"key":"6_CR35","doi-asserted-by":"crossref","unstructured":"Thi, M.T., Pierson, J.M., Da Costa, G.: Game-based negotiation between power demand and supply in green datacenters. In: 18th International Symposium on Parallel and Distributed Processing with Applications (ISPA 2020) (2020)","DOI":"10.1109\/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00112"},{"key":"6_CR36","doi-asserted-by":"crossref","unstructured":"Valderas, P.e.a.: A microservice composition approach based on the choreography of BPMN fragments. Inf. Softw. Technol. 127, 106370 (2020)","DOI":"10.1016\/j.infsof.2020.106370"},{"key":"6_CR37","doi-asserted-by":"crossref","unstructured":"Valera, H., Dalmau, M., et al.: DRACeo: a smart simulator to deploy energy saving methods in microservices based networks. In: IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 94\u201399 (2020)","DOI":"10.1109\/WETICE49692.2020.00026"},{"key":"6_CR38","doi-asserted-by":"crossref","unstructured":"Vitali, M., Pernici, B.: A survey on energy efficiency in information systems. Int. J. Cooper. Inf. Syst. (IJCIS) 23(03) (2014)","DOI":"10.1142\/S0218843014500014"},{"key":"6_CR39","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.ins.2015.01.023","volume":"319","author":"M Vitali","year":"2015","unstructured":"Vitali, M., et al.: Learning a goal-oriented model for energy efficient adaptive applications in data centers. Inf. Sci. 319, 152\u2013170 (2015)","journal-title":"Inf. Sci."},{"issue":"2","key":"6_CR40","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1109\/TCC.2015.2453988","volume":"4","author":"U Wajid","year":"2015","unstructured":"Wajid, U., et al.: On achieving energy efficiency and reducing CO$$_2$$ footprint in cloud computing. IEEE Trans. Cloud Comput. 4(2), 138\u2013151 (2015)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"6_CR41","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.enbuild.2013.04.015","volume":"64","author":"J Yuventi","year":"2013","unstructured":"Yuventi, J., Mehdizadeh, R.: A critical analysis of power usage effectiveness and its use in communicating data center energy consumption. Energy Build. 64, 90\u201394 (2013)","journal-title":"Energy Build."}],"container-title":["Lecture Notes in Computer Science","Advanced Information Systems Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-07472-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T04:06:04Z","timestamp":1654142764000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-07472-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031074714","9783031074721"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-07472-1_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"3 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAiSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leuven","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"34","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/caise22.ugent.be\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"203","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":"31","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":"0","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":"15% - 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":"2-3","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":"6-10","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)"}}]}}