The growing number of connected objects has allowed the development of new applications in different areas. In addition, the technologies that support these applications, such as cloud and fog computing, face challenges in providing the necessary resources to process information for different applications due to the highly dynamic nature of these networks and the many heterogeneous devices involved. This article reviews the existing literature on one of these challenges: resource allocation in the fog-cloud continuum, including approaches that consider different strategies and network characteristics. We also discuss the factors influencing resource allocation decisions, such as energy consumption, latency, monetary cost, or network usage. Finally, we identify the open research challenges and highlight potential future directions. This survey article aims to serve as a valuable reference for researchers and practitioners interested in the field of edge computing and resource allocation.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181636 | PMC |
http://dx.doi.org/10.3390/s23094413 | DOI Listing |
Ultrasound Obstet Gynecol
January 2025
Discipline of Obstetrics, Gynaecology and Neonatology, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Objective: To assess the performance of the Fetal Medicine Foundation (FMF) first-trimester competing-risks screening model for small-for-gestational-age (SGA) fetuses requiring delivery at < 37 weeks' gestation, in a large cohort of women receiving maternity care in Australia.
Methods: This was a retrospective analysis of prospectively collected data from a cohort of women attending one of two private multicenter fetal medicine practices for first-trimester screening for preterm pre-eclampsia (PE), defined as PE requiring delivery before 37 weeks' gestation. Risk for preterm SGA, defined as SGA requiring delivery before 37 weeks, was calculated but was not disclosed to the patient or referring physician.
Am J Bot
January 2025
Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, USA.
Premise: The ability of plants to adapt or acclimate to climate change is inherently linked to their interactions with symbiotic microbes, notably fungi. However, it is unclear whether fungal symbionts from different climates have different impacts on the outcome of plant-fungal interactions, especially under environmental stress.
Methods: We tested three provenances of fungal inoculum (originating from dry, moderate or wet environments) with one host plant genotype exposed to three soil moisture regimes (low, moderate and high).
Sci Rep
January 2025
College of Computer & Information Engineering, Xiamen University of Technology, Xiamen, 361024, China.
A balanced and equitable bus network layout plays a crucial role in the efficient operation of cities. The layout of urban bus networks is influenced by various factors, including urban planning, population size, industrial distribution, and road network layout. Forming a comprehensive indicator system and analyzing the balance and fairness of bus network layouts are key research areas.
View Article and Find Full Text PDFHosp Pract (1995)
January 2025
Education Development Center, Iran University of Medical Sciences, Tehran, Iran.
Aims: This study investigates the differences in patient demographics and outcomes between teaching and non-teaching hospitals in Iran. By analyzing these differences, it aims to provide useful information for policymakers to optimize resource allocation, improve patient care, and balance educational and service delivery goals in teaching hospitals.
Materials And Methods: In this cross-sectional investigation, both teaching and non-teaching general hospitals were examined.
Anal Chem
January 2025
Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China.
A sensitive fluorescence biosensor was developed for microcystin-LR (MC-LR) detection using H1, H2, and H3 DNA probes as sensing elements. The aptamer in H1 can recognize the target. H2 was labeled with FAM and BHQ.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!