RT Journal Article
T1 Monitoring in fog computing: state-of-the-art and research challenges
A1 Abreha, Haftay Gebreslasie
A1 Bernardos Cano, Carlos Jesús
A1 Oliva Delgado, Antonio de la
A1 Cominardi, Luca
A1 Azcorra Saloña, Arturo
AB Fog computing has rapidly become a widely accepted computing paradigm to mitigate cloud computing-based infrastructure limitations such as scarcity of bandwidth, large latency, security, and privacy issues. Fog computing resources and applications dynamically vary at run-time, and they are highly distributed, mobile, and appear-disappear rapidly at any time over the internet. Therefore, to ensure the quality of service and experience for end-users, it is necessary to comply with a comprehensive monitoring approach. However, the volatility and dynamism characteristics of fog resources make the monitoring design complex and cumbersome. The aim of this article is therefore three-fold: 1) to analyse fog computing-based infrastructures and existing monitoring solutions; 2) to highlight the main requirements and challenges based on a taxonomy; 3) to identify open issues and potential future research directions.
PB Inderscience
SN 1743-8225
YR 2021
FD 2021
LK http://hdl.handle.net/10016/34230
UL http://hdl.handle.net/10016/34230
LA eng
NO This work has been (partially) funded by H2020 EU/TW 5G-DIVE (Grant 859881) and H2020 5Growth (Grant 856709). It has been also funded by the Spanish State Research Agency (TRUE5G project, PID2019-108713RB-C52 PID2019-108713RB-C52 / AEI / 10.13039/501100011033).
DS e-Archivo
RD 28 abr. 2024