prikaz prve stranice dokumenta Virtual Network Resource Optimization Model for Network Function Virtualization
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doctoral thesis
Virtual Network Resource Optimization Model for Network Function Virtualization
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2020. urn:nbn:hr:179:923288
Vladislavić, Đani
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Vladislavić, Đ. (2020). Virtual Network Resource Optimization Model for Network Function Virtualization (Doctoral thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:923288

Vladislavić, Đani. "Virtual Network Resource Optimization Model for Network Function Virtualization." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2020. https://urn.nsk.hr/urn:nbn:hr:179:923288

Vladislavić, Đani. "Virtual Network Resource Optimization Model for Network Function Virtualization." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2020. https://urn.nsk.hr/urn:nbn:hr:179:923288

Vladislavić, Đ. (2020). 'Virtual Network Resource Optimization Model for Network Function Virtualization', Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 30 March 2025, https://urn.nsk.hr/urn:nbn:hr:179:923288

Vladislavić Đ. Virtual Network Resource Optimization Model for Network Function Virtualization [Doctoral thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2020 [cited 2025 March 30] Available at: https://urn.nsk.hr/urn:nbn:hr:179:923288

Đ. Vladislavić, "Virtual Network Resource Optimization Model for Network Function Virtualization", Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:179:923288

Metadata
TitleVirtual Network Resource Optimization Model for Network Function Virtualization
Title (croatian)Model optimizacije virtualnih mrežnih resursa za virtualizaciju mrežnih funkcija
AuthorĐani Vladislavić https://orcid.org/0000-0002-5838-7936
MentorJulije Ožegović (mentor)
MentorDarko Huljenić (komentor)
Committee memberDinko Begušić (predsjednik povjerenstva)
Committee memberNikola Rožić (član povjerenstva)
Committee memberJulije Ožegović (član povjerenstva)
Committee memberDarko Huljenić (član povjerenstva)
Committee memberMiljenko Mikuc (član povjerenstva)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2020-07-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Universal decimal classification
(UDC)		654 - Telecommunication and telecontrol
Abstract
Network function virtualization (NFV) is a concept aiming to achieve telecom grade cloud ecosystem for new generation networks focusing on Capital and Operational expenditure (CAPEX and OPEX) savings. The research in this doctoral dissertation proposes a novel methodology for performance evaluation and modeling based on execution area (EA) distribution by CPU core pinning. EA is defined as a software execution unit that can run isolated on a compute resource (CPU core). EAs are derived from the... More elements and packet processing principles in NFV infrastructures (NFVIs) and Virtual network functions (VNFs) based on Linux kernel. Performing measurements and observing linearity of the measured results opens the possibility to apply model calibration technique to achieve general VNF and NFVI architecture model with performance prediction and environment setup optimization. The modeling parameters are derived from the cumulative packet processing cost obtained by measurements for collocated EAs on the CPU core hosting the bottleneck EA. The VNF and NFVI architecture model with performance prediction is successfully validated against the measurement results obtained in emulated environment and used to predict optimal system configurations and maximal throughput results for different CPUs. The main contributions to the science from this doctoral dissertation are as follows: (1) VNF and NFVI architecture model with performance prediction and bottleneck determination algorithms for optimal virtual network function performance analysis, (2) an algorithm for generic NFVI requirements definition in the target environment, given the required performance SLAs for the VNFs and (3) a resource allocation algorithm for optimal resource consumption in the physical environment shared by multiple VNFs. Although the VNF and NFVI architecture model with performance prediction does not explicitly consider latency/jitter parameters, high-precision measurements of these parameters are executed in emulated environment in order to present the relative difference between the throughput optimized system configurations. These results can be considered on top of throughput prediction and optimal system configuration derived from the VNF and NFVI architecture model with performance prediction when deciding the system configuration to be applied for latency sensitive traffic. Less
Abstract (croatian)
Virtualizacija mrežnih funkcija (NFV) predstavlja proces odvajanja mrežnih funkcija od pripadajućeg sklopovlja s ciljem postizanja neovisnosti usluge o namjenskim uređajima. Istraživanje u ovoj doktorskoj disertaciji predlaže novu metodologiju za procjenu i modeliranje performansi zasnovanu na raspodjeli izvršnih jedinica po CPU jezgrama. Izvršnu jedinicu definiramo kao element programske podrške koja se može izvršavati izolirana na posebnoj CPU jezgri. Izvršne jedinice su izvedene iz... More elemenata i principa obrade paketa u NFV infrastrukturama i virtualnim mrežnim funkcijama temeljenim na obradi paketa u jezgri Linux operativnog sustava. Provođenjem mjerenja i promatranjem linearnosti izmjerenih rezultata otvara se mogućnost primjene tehnike kalibracije modela za postizanje općeg modela arhitekture virtualiziranih mrežnih funkcija i njihove infrastrukture za predviđanje propusnosti i optimalne konfiguracije sustava. Parametri modeliranja izvode se iz kumulativnog troška obrade paketa dobivenog mjerenjima na jezgri CPU-a za kolocirane izvršne jedinice među kojima je nužno i jedinica uskog grla. Izgradnja modela na temelju troškova obrade paketa otvara mogućnost primjene na bilo kojem CPU-u, bez obzira na brzinu i broj jezgara. Definirani model izgrađen metodom kalibracije uspješno validiramo prema rezultatima mjerenja dobivenim u emuliranom okruženju i koristimo ga za predviđanje optimalne konfiguracije sustava i maksimalnih rezultata propusnosti za različite CPU-ove. Glavni znanstveni doprinosi ove doktorske disertacije su: (1) model arhitekture virtualiziranih mrežnih funkcija i njihove infrastrukture koji uključuju algoritme predviđanja performansi i utvrđivanja uskog grla za analizu optimalnih performansi virtualnih mrežnih funkcija, (2) algoritam za definiranje generičkih zahtjeva na infrastrukturu virtualizacije mrežnih funkcija obzirom na zahtijevanu kvalitetu usluge virtualne mrežne funkcije te (3) algoritam za određivanje optimalne alokacije resursa u ciljanom okruženju virtualizacije više mrežnih funkcija nad istim fizičkim sučeljem. Iako definirani model ne uzima u obzir parametre kašnjenja / varijacije kašnjenja, provodimo precizna mjerenja ovih parametara u emuliranom okruženju kako bismo prikazali relativnu razliku između konfiguracija sustava optimalne propusnosti. Less
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:179:923288
Promotion2021
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika (doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika)
Type of resourceText
Extent114 str.
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-25 12:27:43
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