izvorni znanstveni rad
Energy optimization in telecommunication base stations demands innovative approaches to address dynamic consumption patterns and environmental variability. This study proposes a novel framework integrating time series analysis, Bayesian networks, and Particle Swarm Optimization (PSO) to holistically optimize power management. Proposed concept takes in account individual requirements on single base station, as well as global portfolio of mobile base stations characteristics.
Time series, Bayesian networks, PSO, Machine learning, Energy optimization
Razvojem virtualizacijskih tehnologija raste kompleksnost IT sustava, dok korisnici istovremeno zahtijevaju brži pristup resursima, napredne integracije i jednostavnost korištenja. Jedno od ključnih rješenja za ove izazove primjena je…
Ovaj rad istražuje i uspoređuje mogućnosti prosljeđivanja grafičkih kartica na Hyper-V i KVM hipervizorima prema virtualnim strojevima, detaljno opisujući metode, postupke i razlike u arhitekturi koje utječu na…
The ever-growing usage and adaptation of HTTP/3 in web traffic leverages Quick UDP Internet Connections (QUIC) as a transport protocol. QUIC is widely recognized for reduced latency, enhanced…
