Container security: precaution levels, mitigation strategies, and research perspectives

DP VS, SC Sethuraman, MK Khan - Computers & Security, 2023 - Elsevier
The enterprise technique for application deployment has undergone a major transformation
during the past two decades. Using conventional techniques, software developers write …

[PDF][PDF] Fog Computing Based on Machine Learning: A Review.

FEF Samann, AM Abdulazeez, S Askar - International Journal of …, 2021 - academia.edu
Internet of Things (IoT) systems usually produce massive amounts of data, while the number
of devices connected to the internet might reach billions by now. Sending all this data over …

COSCO: Container orchestration using co-simulation and gradient based optimization for fog computing environments

S Tuli, SR Poojara, SN Srirama… - … on Parallel and …, 2021 - ieeexplore.ieee.org
Intelligent task placement and management of tasks in large-scale fog platforms is
challenging due to the highly volatile nature of modern workload applications and sensitive …

[HTML][HTML] Anomaly detection with a container-based stream processing framework for industrial internet of things

R Wang, H Qiu, X Cheng, X Liu - Journal of Industrial Information …, 2023 - Elsevier
Online anomaly detection is a key challenge for industrial internet of things (IIoT)
applications, as anomalies may occur in data streams from sensors and cause losses or …

Fog computing applications: Taxonomy and requirements

A Ahmed, HR Arkian, D Battulga, AJ Fahs… - arXiv preprint arXiv …, 2019 - arxiv.org
Fog computing was designed to support the specific needs of latency-critical applications
such as augmented reality, and IoT applications which produce massive volumes of data …

[HTML][HTML] Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution

H Liu, P Chen, X Ouyang, H Gao, B Yan… - Future Generation …, 2023 - Elsevier
Cloud computing attracts increasing attention in processing dynamic computing tasks and
automating the software development and operation pipeline. In many cases, the computing …

[HTML][HTML] Making spatial-temporal marine ecosystem modelling better–a perspective

J Steenbeek, J Buszowski, D Chagaris… - … Modelling & Software, 2021 - Elsevier
Abstract Marine Ecosystem Models (MEMs) provide a deeper understanding of marine
ecosystem dynamics. The United Nations Decade of Ocean Science for Sustainable …

Task-container matching game for computation offloading in vehicular edge computing and networks

X Huang, R Yu, S Xie, Y Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Parked Vehicle (PV) assistance in vehicular edge computing and networks is proposed to
exploit underutilized computing resources from PVs for enhancing the resource capacity at …

[HTML][HTML] Performance evaluation of container orchestration tools in edge computing environments

I Čilić, P Krivić, I Podnar Žarko, M Kušek - Sensors, 2023 - mdpi.com
Edge computing is a viable approach to improve service delivery and performance
parameters by extending the cloud with resources placed closer to a given service …

SplitPlace: AI augmented splitting and placement of large-scale neural networks in mobile edge environments

S Tuli, G Casale, NR Jennings - IEEE Transactions on Mobile …, 2022 - ieeexplore.ieee.org
In recent years, deep learning models have become ubiquitous in industry and academia
alike. Deep neural networks can solve some of the most complex pattern-recognition …