Pregled bibliografske jedinice broj: 1104976
Performance Modeling of Publish/Subscribe Middleware Components
Performance Modeling of Publish/Subscribe Middleware Components // Proceedings of the 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
Madrid, Španjolska: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 1628-1633 doi:10.1109/compsac48688.2020.00-22 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso))
CROSBI ID: 1104976 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Performance Modeling of Publish/Subscribe
Middleware Components
Autori
Antonic, Aleksandar ; Antonic, Martina
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo
Izvornik
Proceedings of the 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2020, 1628-1633
Skup
44th Annual Computers, Software, and Applications Conference (COMPSAC 2020)
Mjesto i datum
Madrid, Španjolska, 13.07.2020. - 17.07.2020
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
publish/subscribe middleware, performance, modeling, processing time
Sažetak
Internet of Things has changed the environment dramatically, it introduced the all-time connectivity at the level of individual user and enabled monitoring of all user activities by connecting various sensors and data sources into the IoT ecosystem. This was supported by publish/subscribe infrastructure that efficiently interconnects all data flows. In such, global, dynamic and heterogeneous environment satisfactory performance of the underling layer for information exchange is crucial in order to support IoT services in production deployment. Therefore, to plan and support all services it is necessary to investigate the performance of the publish/subscribe middleware in details, as opposed to the overall performance analysis where the publish/subscribe middleware is analyzed as black-box. Detailed analysis provides insights in the performance of the whole system, identifies possible bottlenecks and provides information about maximum throughputs that can be handled with given parameters. In this paper we extended the CUPUS middleware with the performance monitoring components that allowed detailed insight into processing time at internal components. This allowed us to model processing times at individual component with well-know distribution (such as exponential). Such data can be used to perform complex analysis of performance of the whole middleware.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
HRZZ-UIP-2017-05-9066 - Učinkovita stvarnovremenska obrada brzih geoprostornih podataka (RETROFIT) (Pripužić, Krešimir, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
