Survey on edge computing security
H Zeyu, X Geming, W Zhaohang… - … Conference on Big Data …, 2020 - ieeexplore.ieee.org
With the advent of the Internet of Everything, emerging application scenarios including
autonomous driving, immersive games based on VR or AR technology, and Industrial …
autonomous driving, immersive games based on VR or AR technology, and Industrial …
Proactive failure-aware task scheduling framework for cloud computing
Y Alahmad, T Daradkeh, A Agarwal - IEEE Access, 2021 - ieeexplore.ieee.org
Cloud computing is a widely adopted platform for executing tasks of different application
types that belong to the end users. In the cloud, application task is prone to failure for several …
types that belong to the end users. In the cloud, application task is prone to failure for several …
Auto-adaptive fault prediction system for edge cloud environments in the presence of concept drift
B Shayesteh, C Fu, A Ebrahimzadeh… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
6G networks are envisioned to be trustworthy systems that can self-maintain their reliability
and service availability. The ability to automatically recognize and predict any faults or …
and service availability. The ability to automatically recognize and predict any faults or …
Detecting and localizing anomalies in container clusters using Markov models
Detecting the location of performance anomalies in complex distributed systems is critical to
ensuring the effective operation of a system, in particular, if short-lived container …
ensuring the effective operation of a system, in particular, if short-lived container …
Auto-Scaling Containerized Applications in Geo-Distributed Clouds
As a lightweight and flexible infrastructure solution, containers have increasingly been used
for application deployment on a global scale. By rapidly scaling containers at different …
for application deployment on a global scale. By rapidly scaling containers at different …
Automated concept drift handling for fault prediction in edge clouds using reinforcement learning
B Shayesteh, C Fu, A Ebrahimzadeh… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fault management systems that use real-time analytics based on Machine Learning (ML)
help provide the reliability required in edge clouds, though they suffer from frequent changes …
help provide the reliability required in edge clouds, though they suffer from frequent changes …
Self-adaptive healing for containerized cluster architectures with hidden Markov models
Edge cloud environments are often build as virtualized coordinated clusters of possibly
heterogeneous devices. In the emerging of cluster platforms like Kubernetes or Docker …
heterogeneous devices. In the emerging of cluster platforms like Kubernetes or Docker …
Survey of fault management techniques for edge-enabled distributed metaverse applications
S Shaikh, M Jammal - Computer Networks, 2024 - Elsevier
The metaverse, envisioned as a vast, distributed virtual world, relies on edge computing for
low-latency data processing. However, ensuring fault tolerance-the system's ability to handle …
low-latency data processing. However, ensuring fault tolerance-the system's ability to handle …
Lightweight Fault Prediction Method for Edge Networks
Y Yang, J Mei, Z Zhang, Y Long, A Liu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The occurrence of faults increases in edge networks as the service types and component
architecture become increasingly complex. Traditional centralized cloud fault prediction …
architecture become increasingly complex. Traditional centralized cloud fault prediction …
Autoscaling recovery actions for container‐based clusters
In cloud computing, resizing component resources is often limited by the available resources
offered by a provider. After reaching a resource limit, a component cannot acquire more …
offered by a provider. After reaching a resource limit, a component cannot acquire more …