Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1139572

Virtual Network Resource Optimization Model for Network Function Virtualization


Vladislavić, Đani; Huljenić, Darko; Ožegović, Julije
Virtual Network Resource Optimization Model for Network Function Virtualization // Wireless communications and mobile computing, 2021 (2021), 1-21 doi:10.1155/2021/9928210 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1139572 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Virtual Network Resource Optimization Model for Network Function Virtualization

Autori
Vladislavić, Đani ; Huljenić, Darko ; Ožegović, Julije

Izvornik
Wireless communications and mobile computing (1530-8669) 2021 (2021); 1-21

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
VNF, NFVI, OVS, kernel, throughput

Sažetak
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. This study introduces empirical throughput prediction model for the Virtual network function (VNF) and Network function virtualization Infrastructure (NFVI) architectures based on Linux kernel. The model arises from the 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 elements and packet processing principles in NFVIs and 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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Fakultet elektrotehnike i računarstva, Zagreb,
Ericsson Nikola Tesla d.d.

Poveznice na cjeloviti tekst rada:

doi www.hindawi.com

Citiraj ovu publikaciju:

Vladislavić, Đani; Huljenić, Darko; Ožegović, Julije
Virtual Network Resource Optimization Model for Network Function Virtualization // Wireless communications and mobile computing, 2021 (2021), 1-21 doi:10.1155/2021/9928210 (međunarodna recenzija, članak, znanstveni)
Vladislavić, Đ., Huljenić, D. & Ožegović, J. (2021) Virtual Network Resource Optimization Model for Network Function Virtualization. Wireless communications and mobile computing, 2021, 1-21 doi:10.1155/2021/9928210.
@article{article, author = {Vladislavi\'{c}, \DJani and Huljeni\'{c}, Darko and O\v{z}egovi\'{c}, Julije}, year = {2021}, pages = {1-21}, DOI = {10.1155/2021/9928210}, keywords = {VNF, NFVI, OVS, kernel, throughput}, journal = {Wireless communications and mobile computing}, doi = {10.1155/2021/9928210}, volume = {2021}, issn = {1530-8669}, title = {Virtual Network Resource Optimization Model for Network Function Virtualization}, keyword = {VNF, NFVI, OVS, kernel, throughput} }
@article{article, author = {Vladislavi\'{c}, \DJani and Huljeni\'{c}, Darko and O\v{z}egovi\'{c}, Julije}, year = {2021}, pages = {1-21}, DOI = {10.1155/2021/9928210}, keywords = {VNF, NFVI, OVS, kernel, throughput}, journal = {Wireless communications and mobile computing}, doi = {10.1155/2021/9928210}, volume = {2021}, issn = {1530-8669}, title = {Virtual Network Resource Optimization Model for Network Function Virtualization}, keyword = {VNF, NFVI, OVS, kernel, throughput} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font