id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1948	Meena Rani	Improving QoS Parameters in Fog Computing Environment using QCSO Framework	2024	14	.pdf	application/pdf	6289	431	53	Fz = quality Select a random nest from m nests Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 206 https://internationalpubls.com if (fx < fy) then replace y with a new solution End if Discard the faulty nest Identify the optimal nest End while Return Optimal Resource Here, energy consumption, resource allocation time, and resource availability are the various QoS parameters that are taken into consideration. Effective management of fog resources can provide several advantages, including improved energy efficiency, reduced network load, increased profit, balanced workload distribution, and minimized violations of Service Level Agreements (SLAs).	cache/cana-1948.pdf	txt/cana-1948.txt