000125833 001__ 125833
000125833 005__ 20241125101151.0
000125833 0247_ $$2doi$$a10.1109/ACCESS.2023.3250606
000125833 0248_ $$2sideral$$a133345
000125833 037__ $$aART-2023-133345
000125833 041__ $$aeng
000125833 100__ $$aMedel, Víctor
000125833 245__ $$aModeling and characterizing service interference in dynamic infrastructures
000125833 260__ $$c2023
000125833 5060_ $$aAccess copy available to the general public$$fUnrestricted
000125833 5203_ $$aPerformance interference can occur when various services are executed over the same physical infrastructure in a cloud system. This can lead to performance degradation compared to the execution of services in isolation. This work proposes a Confirmatory Factor Analysis (CFA)-based model to estimate performance interference across containers, caused by the use of CPU, memory and IO across a number of co-hosted applications. The approach provides resource characterization through human comprehensible indices expressed as time series, so the interference in the entire execution lifetime of a service can be analyzed. Our experiments, based on the combination of real services with different profiles executed in Docker containers, suggest that our model can accurately predict the overall execution time, for different service combinations. The approach can be used by a service designer to identify phases, during the execution life-cycle of a service, that are likely to lead to a greater degree of interference, and to ensure that only complementary services are hosted on the same physical machine. Interference-awareness of this kind will enable more intelligent resource management and scheduling for cloud systems, and may be used to dynamically modify scheduling decisions.
000125833 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T35-17D$$9info:eu-repo/grantAgreement/ES/MINECO/PGC2018-099815-B-100
000125833 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000125833 590__ $$a3.4$$b2023
000125833 592__ $$a0.96$$b2023
000125833 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b87 / 250 = 0.348$$c2023$$dQ2$$eT2
000125833 591__ $$aTELECOMMUNICATIONS$$b47 / 119 = 0.395$$c2023$$dQ2$$eT2
000125833 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b122 / 353 = 0.346$$c2023$$dQ2$$eT2
000125833 593__ $$aEngineering (miscellaneous)$$c2023$$dQ1
000125833 593__ $$aMaterials Science (miscellaneous)$$c2023$$dQ1
000125833 593__ $$aComputer Science (miscellaneous)$$c2023$$dQ1
000125833 594__ $$a9.8$$b2023
000125833 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000125833 700__ $$0(orcid)0000-0003-4457-3938$$aArronategui, Unai$$uUniversidad de Zaragoza
000125833 700__ $$aRana, Omer
000125833 700__ $$0(orcid)0000-0002-4198-8241$$aBañares, José Ángel$$uUniversidad de Zaragoza
000125833 700__ $$0(orcid)0000-0003-3057-6273$$aTolosana-Calasanz, Rafael$$uUniversidad de Zaragoza
000125833 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput.
000125833 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000125833 773__ $$g11 (2023), 21387-21403$$pIEEE Access$$tIEEE Access$$x2169-3536
000125833 8564_ $$s1368999$$uhttps://zaguan.unizar.es/record/125833/files/texto_completo.pdf$$yVersión publicada
000125833 8564_ $$s2647919$$uhttps://zaguan.unizar.es/record/125833/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000125833 909CO $$ooai:zaguan.unizar.es:125833$$particulos$$pdriver
000125833 951__ $$a2024-11-22-12:06:48
000125833 980__ $$aARTICLE