{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T13:13:46Z","timestamp":1777641226202,"version":"3.51.4"},"reference-count":27,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2018,6,20]],"date-time":"2018-06-20T00:00:00Z","timestamp":1529452800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["645372"],"award-info":[{"award-number":["645372"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["761898"],"award-info":[{"award-number":["761898"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computers"],"abstract":"<jats:p>Edge computing is an effective paradigm for proximity in computation, but must inexorably face mobility issues and traffic fluctuations. While software orchestration may provide effective service handover between different edge infrastructures, seamless operation with negligible service disruption necessarily requires pre-provisioning and the need to leave some network functions idle for most of the time, which eventually results in large energy waste and poor efficiency. Existing consolidation algorithms are largely ineffective in these conditions because they lack context, i.e., the knowledge of which resources are effectively used and which ones are just provisioned for other purposes (i.e., redundancy, resilience, scaling, migration). Though the concept is rather straightforward, its feasibility in real environments must be demonstrated. Motivated by the lack of energy-efficiency mechanisms in cloud management software, we have developed a set of extensions to OpenStack for power management and Quality of Service, explicitly targeting the introduction of more context for applications. In this paper, we briefly describe the overall architecture and evaluate its efficiency and effectiveness. We analyze performance metrics and their relationship with power consumption, hence extending the analysis to specific aspects that cannot be investigated by software simulations. We also show how the usage of context information can greatly improve the effectiveness of workload consolidation in terms of energy saving.<\/jats:p>","DOI":"10.3390\/computers7020036","type":"journal-article","created":{"date-parts":[[2018,6,20]],"date-time":"2018-06-20T10:41:24Z","timestamp":1529491284000},"page":"36","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Improving Efficiency of Edge Computing Infrastructures through Orchestration Models \u2020"],"prefix":"10.3390","volume":"7","author":[{"given":"Raffaele","family":"Bolla","sequence":"first","affiliation":[{"name":"Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN), University of Genoa, Via Opera Pia 13, 16145 Genova, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5944-7582","authenticated-orcid":false,"given":"Alessandro","family":"Carrega","sequence":"additional","affiliation":[{"name":"S3ITI Lab, National Inter-University Consortium for Telecommunications (CNIT), Via Opera Pia 13, 16145 Genova, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8478-2633","authenticated-orcid":false,"given":"Matteo","family":"Repetto","sequence":"additional","affiliation":[{"name":"S3ITI Lab, National Inter-University Consortium for Telecommunications (CNIT), Via Opera Pia 13, 16145 Genova, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giorgio","family":"Robino","sequence":"additional","affiliation":[{"name":"S3ITI Lab, National Inter-University Consortium for Telecommunications (CNIT), Via Opera Pia 13, 16145 Genova, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/MVT.2014.2380581","article-title":"On the 5G Operating System for a True Digital Society","volume":"10","author":"Soldani","year":"2015","journal-title":"IEEE Veh. Technol. Mag."},{"key":"ref_2","unstructured":"Kennedy, D., Bourse, D., Mohr, W., Bedo, J.-S., and Herzog, U. (2018, June 20). Available online: https:\/\/5g-ppp.eu\/wp-content\/uploads\/2016\/02\/BROCHURE_5PPP_BAT2_PL.pdf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1676","DOI":"10.1109\/JSAC.2016.2545414","article-title":"Assessing the Potential for Saving Energy by Impersonating Idle Networked Devices","volume":"34","author":"Bolla","year":"2016","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Carella, G.A., Pauls, M., Magedanz, T., Cilloni, M., Bellavista, P., and Foschini, L. (2017, January 3\u20137). Prototyping nfv-based multi-access edge computing in 5G ready networks with open baton. Proceedings of the IEEE Conference on Network Softwarization (NetSoft), Bologna, Italy.","DOI":"10.1109\/NETSOFT.2017.8004237"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Carrega, A., Portomauro, G., Repetto, M., and Robino, G. (2018, January 23\u201326). OpenStack extensions for QoS and energy efficiency in edge computing. Proceedings of the 3rd IEEE International Conference on Fog and Edge Mobile Computing (FMEC 2018), Barcelona, Spain.","DOI":"10.1109\/FMEC.2018.8364044"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1109\/MC.2007.443","article-title":"The case for energy-proportional computing","volume":"40","author":"Barroso","year":"2007","journal-title":"Computer"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Shirayanagi, H., Yamada, H., and Kono, K. (2012, January 1\u20134). Honeyguide: A VM migration-aware network topology for saving energy consumption in data center networks. Proceedings of the IEEE Symposium on Computers and Communications (ISCC), Cappadocia, Turkey.","DOI":"10.1109\/ISCC.2012.6249339"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Li, B., Li, J., Huai, J., Wo, T., Li, Q., and Zhong, L. (2009, January 21\u201325). EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments. Proceedings of the IEEE International Conference on Cloud Computing (CLOUD \u201909), Bangalore, India.","DOI":"10.1109\/CLOUD.2009.72"},{"key":"ref_9","unstructured":"Buyya, R., Beloglazov, A., and Abawajy, J. (2010, January 12\u201315). Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges. Proceedings of the 2010 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2010), Las Vegas, NV, USA."},{"key":"ref_10","unstructured":"Heller, B., Seetharaman, S., Mahadevan, P., Yiakoumis, Y., Sharma, P., Banerjee, S., and McKeown, N. (2010, January 28\u201330). ElasticTree: Saving Energy in Data Center Networks. Proceedings of the 7th USENIX Conference on Networked Systems Design and Implementation, San Jose, CA, USA."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Voorsluys, W., Broberg, J., Venugopal, S., and Buyya, R. (2009, January 1\u20134). Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation. Proceedings of the 1st International Conference on Cloud Computing (CloudCom \u201909), Beijing, China.","DOI":"10.1007\/978-3-642-10665-1_23"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1002\/cpe.3314","article-title":"OpenStack Neat: A framework for dynamic and energy-efficient consolidation of virtual machines in OpenStack clouds","volume":"27","author":"Beloglazov","year":"2015","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Rossigneux, F., Gelas, J.P., Lef\u00e8vre, L., and de Asun\u00e7\u00e3o, M.D. (2014, January 3\u20135). A Generic and Extensible Framework for Monitoring Energy Consumption of OpenStack Clouds. Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, Sydney, NSW, Australia.","DOI":"10.1109\/BDCloud.2014.105"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Carrega, A., and Repetto, M. (2017, January 4\u20138). Energy-Aware Consolidation Scheme for Data Center Cloud Applications. Proceedings of the 2017 29th International Teletraffic Congress (ITC 29), Genoa, Italy.","DOI":"10.23919\/ITC.2017.8065706"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Cima, V., Grazioli, B., Murphy, S., and Bohnert, T. (2015, January 14\u201315). Adding energy efficiency to Openstack. Proceedings of the Sustainable Internet and ICT for Sustainability (SustainIT), Madrid, Spain.","DOI":"10.1109\/SustainIT.2015.7101358"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Shehabi, A., Smith, S., Sartor, D., Brown, R., Herrlin, M., Koomey, J., Masanet, E., Horner, N., Azevedo, I., and Lintner, W. (2016). United States Data Center Energy Usage Report.","DOI":"10.2172\/1372902"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Avgerinou, M., Bertoldi, P., and Castellazzi, L. (2017). Trends in Data Centre Energy Consumption under the European Code of Conduct for Data Centre Energy Efficiency. Energies, 10.","DOI":"10.3390\/en10101470"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.enconman.2013.07.035","article-title":"A case study and critical assessment in calculating power usage effectiveness for a data centre","volume":"76","author":"Brady","year":"2013","journal-title":"Energy Convers. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.enbuild.2013.04.015","article-title":"A critical analysis of Power Usage Effectiveness and its use in communicating data center energy consumption","volume":"64","author":"Yuventi","year":"2013","journal-title":"Energy Build."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Wang, C., Nasiriani, N., Kesidis, G., Urgaonkar, B., Wang, Q., Chen, L.Y., Gupta, A., and Birke, R. (2015, January 14\u201317). Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design. Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems (e-Energy \u201915 ), Bangalore, India.","DOI":"10.1145\/2768510.2768541"},{"key":"ref_21","unstructured":"(2018, June 20). Available online: http:\/\/docs.oasis-open.org\/tosca\/TOSCA\/v1.0\/os\/TOSCA-v1.0-os.pdf."},{"key":"ref_22","unstructured":"Network Functions Virtualisation (NFV), and Management and Orchestration (2014). ETSI GS NFV-MAN 001 V1.1.1, European Telecommunications Standards Institute."},{"key":"ref_23","unstructured":"DTMF (2018, June 20). Available online: https:\/\/www.dmtf.org\/sites\/default\/files\/standards\/documents\/DSP1027_2.0.0.pdf."},{"key":"ref_24","unstructured":"Hass, J. (2018, June 20). Available online: https:\/\/www.intel.com\/content\/dam\/www\/public\/us\/en\/documents\/product-briefs\/cim-mapping-guideline-.6.pdf."},{"key":"ref_25","unstructured":"(2014). Green Abstraction Layer (GAL); Power Management Capabilities of The Future Energy Telecommunication Fixed Network Nodes, European Telecommunications Standards Institute. ETSI ES 203 237."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Kanapram, D., Lamanna, G., and Repetto, M. (2017, January 8\u201311). Exploring the trade-off between performance and energy consumption in cloud infrastructures. Proceedings of the 2nd IEEE International Conference on Fog and Edge Mobile Computing (FMEC 2017), Valencia, Spain.","DOI":"10.1109\/FMEC.2017.7946418"},{"key":"ref_27","unstructured":"Bierman, A., Bjorklund, M., and Watsen, K. (2018, June 20). Available online: https:\/\/tools.ietf.org\/html\/rfc804."}],"container-title":["Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-431X\/7\/2\/36\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:09:29Z","timestamp":1760195369000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-431X\/7\/2\/36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,20]]},"references-count":27,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2018,6]]}},"alternative-id":["computers7020036"],"URL":"https:\/\/doi.org\/10.3390\/computers7020036","relation":{},"ISSN":["2073-431X"],"issn-type":[{"value":"2073-431X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,20]]}}}