A survey on the scheduling mechanisms in serverless computing: a taxonomy, challenges, and trends
In recent years, serverless computing has received significant attention due to its innovative
approach to cloud computing. In this novel approach, a new payment model is presented …
approach to cloud computing. In this novel approach, a new payment model is presented …
[HTML][HTML] DLJSF: Data-Locality Aware Job Scheduling IoT tasks in fog-cloud computing environments
Problem statement Nowadays, devices generate copious quantities of high-speed data
streams due to Internet of Things (IoT) applications. For the most part, cloud computing …
streams due to Internet of Things (IoT) applications. For the most part, cloud computing …
Design and simulation of a new current mirror circuit with low power consumption and high performance and output impedance
Y Li, H Wang, M Trik - Analog Integrated Circuits and Signal Processing, 2024 - Springer
Analog and digital integrated circuit performance has greatly benefited by the shrinking of
semiconductor fabrication technology components. In order to reduce the size of the …
semiconductor fabrication technology components. In order to reduce the size of the …
Proteomics technologies in toxicity screening: a review
Y Jin, Z Sun, AZ Gu, X Zhou - Environmental Chemistry Letters, 2025 - Springer
The presence of natural and synthetic toxic compounds in the environment requires the
development of advanced detection methods. Here we review proteomics technologies for …
development of advanced detection methods. Here we review proteomics technologies for …
Link prediction in social networks using hyper-motif representation on hypergraph
CY Meng, H Motevalli - Multimedia Systems, 2024 - Springer
Link prediction, a critical pursuit in complex networks research, revolves around the
predictive understanding of connections between nodes. Our novel approach introduces a …
predictive understanding of connections between nodes. Our novel approach introduces a …
Towards a semi-local random walk technique through multilayer social networks to improve link prediction
S Chen, J Zhang, G Zhang… - Journal of Complex …, 2024 - academic.oup.com
The rapid expansion of social networks has generated a growing need for scalable
algorithms capable of effectively predicting links. Link prediction is a crucial area of study …
algorithms capable of effectively predicting links. Link prediction is a crucial area of study …
Stability characteristic of bi-directional FG nano cylindrical imperfect composite: Improving the performance of sports bikes using carbon nanotubes
C Yan, T Zhang, T Zheng… - Steel and Composite …, 2024 - koreascience.kr
Classical and first-order nonlocal beam theory are employed in this study to assess the
thermal buckling performance of a small-scale conical, cylindrical beam. The beam is …
thermal buckling performance of a small-scale conical, cylindrical beam. The beam is …
Towards improving community detection in complex networks using influential nodes
H Zheng, H Zhao, G Ahmadi - Journal of Complex Networks, 2024 - academic.oup.com
Complex network analysis is inspired by empirical studies of real-world networks such as
computer networks, technology networks and social networks. The analysis of community …
computer networks, technology networks and social networks. The analysis of community …
Robust deadline-aware network function parallelization framework under demand uncertainty
B Meng, A Rezaeipanah - Knowledge-Based Systems, 2024 - Elsevier
Abstract The orchestration of Service Function Chains (SFCs) in Mobile Edge Computing
(MEC) becomes crucial for ensuring efficient service provision, especially under dynamic …
(MEC) becomes crucial for ensuring efficient service provision, especially under dynamic …
An efficient network clustering approach using graph-boosting and nonnegative matrix factorization
J Tang, X Xu, T Wang, A Rezaeipanah - Artificial Intelligence Review, 2024 - Springer
Network clustering is a critical task in data analysis, aimed at uncovering the underlying
structure and patterns within complex networks. Traditional clustering methods often …
structure and patterns within complex networks. Traditional clustering methods often …