Rodyti trumpą aprašą

dc.contributor.authorKačeniauskas, Arnas
dc.contributor.authorPacevič, Ruslan
dc.contributor.authorStarikovičius, Vadimas
dc.contributor.authorMaknickas, Algirdas
dc.contributor.authorStaškūnienė, Miglė
dc.contributor.authorDavidavičius, Giedrius
dc.date.accessioned2023-09-18T16:47:08Z
dc.date.available2023-09-18T16:47:08Z
dc.date.issued2017
dc.identifier.issn0965-9978
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116715
dc.description.abstractThe paper presents the development of cloud software services for patient-specific computational analysis of blood flows through the aortic valve on a private university cloud. The main focus is on the software service level at the top of the provided computational platform. Blood flow through the aortic valve was considered as a pilot application of the OpenStack cloud infrastructure. A modelling software environ- ment based on ANSYS Fluent was developed as a software service (SaaS) for the numerical analysis of low flow, low pressure gradient aortic stenosis. Segmentation software services were designed to deal with the patient-specific issues of the computational analysis. User-friendly management tools were de- veloped using Apache jclouds API to enhance the management of OpenStack cloud infrastructure and to increase the accessibility of the required software. The performance of the cloud infrastructure was assessed by testing CPU, memory bandwidth, disk I/O and the developed software service for medical computations. The performance measured on Xen hardware virtual machines, KVM virtual machines and Docker containers were compared with the performance obtained by using the native hardware.eng
dc.formatPDF
dc.format.extentp. 57-64
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyZentralblatt MATH (zbMATH)
dc.relation.isreferencedbyAcademic Search Premier
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyCompendex
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttp://www.sciencedirect.com/science/article/pii/S0965997816300217
dc.subjectIK01 - Informacinės technologijos, ontologinės ir telematikos sistemos / Information technologies, ontological and telematic systems
dc.titleDevelopment of cloud services for patient-specific simulations of blood flows through aortic valves
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references52
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus universiteto ligoninės Santariškių klinikos
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.contributor.departmentTaikomosios informatikos institutas / Institute of Applied Computer Science
dc.subject.researchfieldM 001 - Medicina / Medicine
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldT 009 - Mechanikos inžinerija / Mechanical enginering
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enCloud computing
dc.subject.enSoftware as a service
dc.subject.enOpenStack
dc.subject.enDocker
dc.subject.enXen
dc.subject.enKVM
dc.subject.enAortic valve
dc.subject.enPatient-specific simulations
dc.subject.enPerformance analysis
dcterms.sourcetitleAdvances in engineering software
dc.description.volumeVol. 103
dc.publisher.nameElsevier Science
dc.publisher.cityOxford
dc.identifier.doi000390966700008
dc.identifier.doi10.1016/j.advengsoft.2016.01.013
dc.identifier.elaba19953376


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