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- Horizontal Auto|Scaling for Multi|Access Edge Computing Using ...🔍
- STsanakas/Horizontal|Autoscaling|Edge|Computing|DTNN🔍
- proactive autoscaling for edge computing systems🔍
- Proactive auto|scaling for edge computing systems with Kubernetes🔍
- Application of Fuzzy Logic for Horizontal Scaling in Kubernetes ...🔍
Intelligent horizontal autoscaling in edge computing using a double ...
Intelligent Horizontal Autoscaling in Edge Computing using a ...
The Reverse process is named scale-down and refers to the release of redundant processing nodes in order to save energy consumption and monetary ...
Intelligent Horizontal Autoscaling in Edge Computing using a ...
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network · Abstract · Introduction · Section snippets · Related work.
Intelligent Horizontal Autoscaling in Edge Computing Using a ...
Edge computing is characterised by a varying workload intensity that has a strong effect in the applications performance and their resource ...
Intelligent Horizontal Autoscaling in Edge Computing using a ...
Edge computing is characterized by varying workload intensities that have a strong effect on applications' performance and requirements in ...
Intelligent Horizontal Autoscaling in Edge Computing using a ...
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network ... To read the full-text of this research, you can request a copy ...
Intelligent Horizontal Autoscaling in Edge Computing using a ...
Semantic Scholar extracted view of "Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network" by John Violos et al.
Intelligent Horizontal Autoscaling in Edge Computing Using a ...
Request PDF | On Jan 1, 2022, John Violos and others published Intelligent Horizontal Autoscaling in Edge Computing Using a Double Tower Neural Network ...
Intelligent Horizontal Autoscaling in Edge Computing using a ... - OUCI
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network · John Violos · Stylianos Tsanakas · Theodoros Theodoropoulos · Aris ...
Intelligent Horizontal Autoscaling in Edge Computing Using a ...
Intelligent Horizontal Autoscaling in Edge Computing Using a Double Tower Neural Network · John Violos · Stylianos Tsanakas · Theodoros Theodoropoulos · Aris ...
Intelligent horizontal autoscaling in edge computing using a double ...
« Intelligent horizontal autoscaling in edge computing using a double tower neural network ». Computer Networks, vol. 217. Compte des citations dans Scopus ...
Horizontal Auto-Scaling for Multi-Access Edge Computing Using ...
Multi-Access Edge Computing (MEC) has emerged as a promising new paradigm allowing low latency access to services deployed on edge servers ...
STsanakas/Horizontal-Autoscaling-Edge-Computing-DTNN - GitHub
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network ... The code expects a trainX list which consists of the numpy RNN input ...
proactive autoscaling for edge computing systems - arXiv
For cloud computing, Horizontal Pod Autoscaler (HPA) is widely used as a native service provided by Kubernetes, the de facto cloud framework on ...
Proactive auto-scaling for edge computing systems with Kubernetes
In this chapter, firstly the Horizontal Pod Autoscaler is introduced in detail. Then, related works about the improvement of autoscaling techniques will be.
Smart HPA: A Resource-Efficient Horizontal Pod Auto-scaler ... - arXiv
Our experimental results show that Smart HPA outperforms the Kubernetes baseline HPA by reducing resource overutilization, overprovisioning, and ...
Application of Fuzzy Logic for Horizontal Scaling in Kubernetes ...
The same article suggested future directions for horizontal pod scaling, such as the development of more adaptive strategies, integration with edge computing ...
Traffic-aware Horizontal Pod Autoscaler in Kubernetes-based Edge ...
ABSTRACT Container-based Internet of Things (IoT) applications in an edge computing environment require autoscaling to dynamically adapt to fluctuations in ...
Deep Q‐network‐based auto scaling for service in a multi‐access ...
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network · Computer Science, Engineering. Comput. Networks · 2022.
Edge/Fog Computing Technologies for IoT Infrastructure - PMC - NCBI
The last two articles focus on the Kubernetes container orchestration platform. The article “Horizontal Pod Autoscaling in Kubernetes for ...
Violos J. et al. Intelligent Horizontal Autoscaling in Edge ... - MTMT2
Idézéskapcsolat. Violos J. et al. Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network. (2022) COMPUTER NETWORKS ...