ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Mehran, Narges, Nikolov, Nikolay, Prodan, Radu, Roman, Dumitru, Kimovski, Dragi, Pallas, Frank, Dorfinger, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scheduling of Distributed Applications on the Computing Continuum: A Survey
by: Mehran, Narges, et al.
Published: (2024)
by: Mehran, Narges, et al.
Published: (2024)
SCAREY: Location-Aware Service Lifecycle Management
by: Horvath, Kurt, et al.
Published: (2025)
by: Horvath, Kurt, et al.
Published: (2025)
Enhancing Traffic Safety with AI and 6G: Latency Requirements and Real-Time Threat Detection
by: Horvath, Kurt, et al.
Published: (2025)
by: Horvath, Kurt, et al.
Published: (2025)
Comparison of Microservice Call Rate Predictions for Replication in the Cloud
by: Mehran, Narges, et al.
Published: (2023)
by: Mehran, Narges, et al.
Published: (2023)
DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries
by: Mehran, Narges, et al.
Published: (2025)
by: Mehran, Narges, et al.
Published: (2025)
Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era
by: Horvath, Kurt, et al.
Published: (2025)
by: Horvath, Kurt, et al.
Published: (2025)
6G Infrastructures for Edge AI: An Analytical Perspective
by: Horvath, Kurt, et al.
Published: (2025)
by: Horvath, Kurt, et al.
Published: (2025)
Toward Sustainability-Aware LLM Inference on Edge Clusters
by: Rajashekar, Kolichala, et al.
Published: (2025)
by: Rajashekar, Kolichala, et al.
Published: (2025)
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
by: Mujtaba, Ahmed, et al.
Published: (2025)
by: Mujtaba, Ahmed, et al.
Published: (2025)
FedADAS: Communication-Efficient Federated Distillation for On-Device Driver Yawn Recognition in Vehicular Networks
by: Mujtaba, Ahmed, et al.
Published: (2026)
by: Mujtaba, Ahmed, et al.
Published: (2026)
Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud
by: Colosi, Mario, et al.
Published: (2025)
by: Colosi, Mario, et al.
Published: (2025)
ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
by: Farahani, Reza, et al.
Published: (2026)
by: Farahani, Reza, et al.
Published: (2026)
Energy-aware Distributed Microservice Request Placement at the Edge
by: Toczé, Klervie, et al.
Published: (2024)
by: Toczé, Klervie, et al.
Published: (2024)
Energy Metrics for Edge Microservice Request Placement Strategies
by: Toczé, Klervie, et al.
Published: (2025)
by: Toczé, Klervie, et al.
Published: (2025)
Synthetic Time Series for Anomaly Detection in Cloud Microservices
by: Allam, Mohamed, et al.
Published: (2024)
by: Allam, Mohamed, et al.
Published: (2024)
REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
by: Bai, Xu, et al.
Published: (2025)
by: Bai, Xu, et al.
Published: (2025)
Modular Foundation Model Inference at the Edge: Network-Aware Microservice Optimization
by: Zhu, Juan, et al.
Published: (2026)
by: Zhu, Juan, et al.
Published: (2026)
NotNets: Accelerating Microservices by Bypassing the Network
by: Alvaro, Peter, et al.
Published: (2024)
by: Alvaro, Peter, et al.
Published: (2024)
Failure-Resilient and Carbon-Efficient Deployment of Microservices over the Cloud-Edge Continuum
by: Ponce, Francisco, et al.
Published: (2026)
by: Ponce, Francisco, et al.
Published: (2026)
A Decentralized Microservice Scheduling Approach Using Service Mesh in Cloud-Edge Systems
by: Wen, Yangyang, et al.
Published: (2025)
by: Wen, Yangyang, et al.
Published: (2025)
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments
by: Fernando, Duneesha, et al.
Published: (2024)
by: Fernando, Duneesha, et al.
Published: (2024)
Enhancing Kubernetes Resilience through Anomaly Detection and Prediction
by: Anemogiannis, V., et al.
Published: (2025)
by: Anemogiannis, V., et al.
Published: (2025)
GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
by: Navardi, Mozhgan, et al.
Published: (2025)
by: Navardi, Mozhgan, et al.
Published: (2025)
iDynamics: A Configurable Emulation Framework for Evaluating Microservice Scheduling Policies under Controllable Cloud-Edge Dynamics
by: Chen, Ming, et al.
Published: (2025)
by: Chen, Ming, et al.
Published: (2025)
Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
by: Colosi, Mario, et al.
Published: (2025)
by: Colosi, Mario, et al.
Published: (2025)
Metric Criticality Identification for Cloud Microservices
by: Singal, Akanksha, et al.
Published: (2025)
by: Singal, Akanksha, et al.
Published: (2025)
iAnomaly: A Toolkit for Generating Performance Anomaly Datasets in Edge-Cloud Integrated Computing Environments
by: Fernando, Duneesha, et al.
Published: (2024)
by: Fernando, Duneesha, et al.
Published: (2024)
Signalling Health for Improved Kubernetes Microservice Availability
by: Roberts, Jacob, et al.
Published: (2025)
by: Roberts, Jacob, et al.
Published: (2025)
Self-adaptive, Requirements-driven Autoscaling of Microservices
by: Nunes, João Paulo Karol Santos, et al.
Published: (2024)
by: Nunes, João Paulo Karol Santos, et al.
Published: (2024)
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
by: Ochiai, Hideya, et al.
Published: (2024)
by: Ochiai, Hideya, et al.
Published: (2024)
Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device
by: Tayal, Mumuksh, et al.
Published: (2025)
by: Tayal, Mumuksh, et al.
Published: (2025)
SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
by: Chow, Will
Published: (2025)
by: Chow, Will
Published: (2025)
Service-Level Energy Modeling and Experimentation for Cloud-Native Microservices
by: Legler, Julian, et al.
Published: (2025)
by: Legler, Julian, et al.
Published: (2025)
Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management
by: Ahmad, Hussain, et al.
Published: (2025)
by: Ahmad, Hussain, et al.
Published: (2025)
Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems
by: Li, Yilin, et al.
Published: (2025)
by: Li, Yilin, et al.
Published: (2025)
Auto-scaling Approaches for Microservice Applications: A Survey and Taxonomy
by: Xu, Minxian, et al.
Published: (2025)
by: Xu, Minxian, et al.
Published: (2025)
Flare: Leveraging Serverless Elasticity to Absorb Microservice Load Spikes
by: Dehigama, Dilina, et al.
Published: (2026)
by: Dehigama, Dilina, et al.
Published: (2026)
Hook-in Privacy Techniques for gRPC-based Microservice Communication
by: Loechel, Louis, et al.
Published: (2024)
by: Loechel, Louis, et al.
Published: (2024)
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
by: K., Prashanthi S., et al.
Published: (2025)
by: K., Prashanthi S., et al.
Published: (2025)
LIME:Accelerating Collaborative Lossless LLM Inference on Memory-Constrained Edge Devices
by: Sun, Mingyu, et al.
Published: (2025)
by: Sun, Mingyu, et al.
Published: (2025)
Similar Items
-
Scheduling of Distributed Applications on the Computing Continuum: A Survey
by: Mehran, Narges, et al.
Published: (2024) -
SCAREY: Location-Aware Service Lifecycle Management
by: Horvath, Kurt, et al.
Published: (2025) -
Enhancing Traffic Safety with AI and 6G: Latency Requirements and Real-Time Threat Detection
by: Horvath, Kurt, et al.
Published: (2025) -
Comparison of Microservice Call Rate Predictions for Replication in the Cloud
by: Mehran, Narges, et al.
Published: (2023) -
DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries
by: Mehran, Narges, et al.
Published: (2025)