Cover Image

Scale: Deep Reinforcement Learning for Container Scheduling in Serverless Edge Computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Chen, Jia, Zihan, Sabbioni, Andrea, Farahani, Reza, Jiao, Lei
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Orchestrating Serverless Applications in the Edge Cloud Space Continuum: What Breaks and What is Next?
by: Malazi, Hadi Tabatabaee, et al.
Published: (2026)

Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud
by: Colosi, Mario, et al.
Published: (2025)

ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
by: Farahani, Reza, et al.
Published: (2026)

LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
by: Tang, Zhiqing, et al.
Published: (2025)

LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing
by: Guo, Hao, et al.
Published: (2026)

Hiku: Pull-Based Scheduling for Serverless Computing
by: Akbari, Saman, et al.
Published: (2025)

Toward Sustainability-Aware LLM Inference on Edge Clusters
by: Rajashekar, Kolichala, et al.
Published: (2025)

HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum
by: Pusztai, Thomas, et al.
Published: (2024)

EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing
by: Jiang, Yankai, et al.
Published: (2024)

Towards Seamless Serverless Computing Across an Edge-Cloud Continuum
by: Simion, Emilian, et al.
Published: (2024)

DeepServe: Serverless Large Language Model Serving at Scale
by: Hu, Junhao, et al.
Published: (2025)

Raptor: Distributed Scheduling for Serverless Functions
by: Exton, Kevin, et al.
Published: (2024)

Energy Efficient Scheduling for Serverless Systems
by: Tsenos, Michail, et al.
Published: (2024)

Affinity-aware Serverless Function Scheduling
by: De Palma, Giuseppe, et al.
Published: (2024)

Are Unikernels Ready for Serverless on the Edge?
by: Moebius, Felix, et al.
Published: (2024)

Trabant: A Serverless Architecture for Multi-Tenant Orbital Edge Computing
by: Pfandzelter, Tobias, et al.
Published: (2025)

On the Complexity of Reachability Properties in Serverless Function Scheduling
by: De Palma, Giuseppe, et al.
Published: (2024)

Jiagu: Optimizing Serverless Computing Resource Utilization with Harmonized Efficiency and Practicability
by: Liu, Qingyuan, et al.
Published: (2024)

λScale: Enabling Fast Scaling for Serverless Large Language Model Inference
by: Yu, Minchen, et al.
Published: (2025)

CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge Computing
by: Hong, Guihang, et al.
Published: (2025)

DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries
by: Mehran, Narges, et al.
Published: (2025)

Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions
by: Jayanetti, Amanda, et al.
Published: (2024)

Metronome: Differentiated Delay Scheduling for Serverless Functions
by: Chen, Zhuangbin, et al.
Published: (2025)

sAirflow: Adopting Serverless in a Legacy Workflow Scheduler
by: Mikina, Filip, et al.
Published: (2024)

A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments
by: Jayanetti, Amanda, et al.
Published: (2024)

Container Data Item: An Abstract Datatype for Efficient Container-based Edge Computing
by: Rahman, Md Rezwanur, et al.
Published: (2024)

HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-based Cloud Computing
by: Fang, Zhengxin, et al.
Published: (2025)

Making Serverless Computing Extensible: A Case Study of Serverless Data Analytics
by: Yu, Minchen, et al.
Published: (2025)

EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning
by: Hao, Yijun, et al.
Published: (2024)

Dependency-aware Resource Allocation for Serverless Functions at the Edge
by: Baresi, Luciano, et al.
Published: (2023)

In Serverless, OS Scheduler Choice Costs Money: A Hybrid Scheduling Approach for Cheaper FaaS
by: Zhao, Yuxuan, et al.
Published: (2024)

Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
by: Zhou, Guangyao, et al.
Published: (2021)

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning
by: Xu, Zhifei, et al.
Published: (2025)

Multi-Event Triggers for Serverless Computing
by: Carl, Natalie, et al.
Published: (2025)

Litmus: Fair Pricing for Serverless Computing
by: Pei, Qi, et al.
Published: (2024)

Serverless Computing: Architecture, Concepts, and Applications
by: Ghorbian, Mohsen, et al.
Published: (2025)

Towards Fast Setup and High Throughput of GPU Serverless Computing
by: Zhao, Han, et al.
Published: (2024)

CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing
by: Qi, S., et al.
Published: (2024)

Sustainable Graph Analytics Workload Scheduling with Evolutionary Reinforcement Learning in Edge-Cloud Systems
by: Ramicetty, P., et al.
Published: (2026)

Dynamic Service Scheduling and Resource Management in Energy-Harvesting Multi-access Edge Computing
by: Chen, Shuyi, et al.
Published: (2025)