Copertina

Preemption Aware Task Scheduling for Priority and Deadline Constrained DNN Inference Task Offloading in Homogeneous Mobile-Edge Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cotter, Jamie, Castineiras, Ignacio, O'Shea, Donna, Cionca, Victor
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Accuracy vs Performance: An abstraction model for deadline constrained offloading at the mobile-edge
di: Cotter, Jamie, et al.
Pubblicazione: (2025)

Energy-Efficient Joint Offloading and Resource Allocation for Deadline-Constrained Tasks in Multi-Access Edge Computing
di: Gao, Chuanchao, et al.
Pubblicazione: (2025)

Deadline-Aware Joint Task Scheduling and Offloading in Mobile Edge Computing Systems
di: Nguyen, Ngoc Hung, et al.
Pubblicazione: (2025)

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
di: Cao, Jiahe, et al.
Pubblicazione: (2026)

Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
di: Schweisgut, Dominik, et al.
Pubblicazione: (2026)

Optimizing Task Scheduling in Fog Computing with Deadline Awareness
di: Sirjani, Mohammad Sadegh, et al.
Pubblicazione: (2025)

Improved Methods of Task Assignment and Resource Allocation with Preemption in Edge Computing Systems
di: Rublein, Caroline, et al.
Pubblicazione: (2024)

Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading
di: Peng, Shifeng, et al.
Pubblicazione: (2024)

Towards Multi-Model LLM Schedulers: Empirical Insights into Offloading and Preemption
di: Yildiz, Mert, et al.
Pubblicazione: (2026)

GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks
di: Wang, Yidi, et al.
Pubblicazione: (2024)

Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets
di: Raj, Suman, et al.
Pubblicazione: (2024)

INSPIRIT: Optimizing Heterogeneous Task Scheduling through Adaptive Priority in Task-based Runtime Systems
di: Wang, Yiqing, et al.
Pubblicazione: (2024)

Carbon-Aware Workflow Scheduling with Fixed Mapping and Deadline Constraint
di: Schweisgut, Dominik, et al.
Pubblicazione: (2025)

Collaborative Inference for Large Models with Task Offloading and Early Exiting
di: Xie, Zuan, et al.
Pubblicazione: (2024)

SLO-Aware Task Offloading within Collaborative Vehicle Platoons
di: Sedlak, Boris, et al.
Pubblicazione: (2024)

Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams
di: Guan, Jinglong, et al.
Pubblicazione: (2023)

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

Decentralized Network Topology Design for Task Offloading in Mobile Edge Computing
di: Ma, Ke, et al.
Pubblicazione: (2024)

A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing
di: Wang, Xin, et al.
Pubblicazione: (2025)

Studying the Effect of Schedule Preemption on Dynamic Task Graph Scheduling
di: Khodabandehlou, Mohammadali, et al.
Pubblicazione: (2026)

Neuro-Inspired Task Offloading in Edge-IoT Networks Using Spiking Neural Networks
di: Rossi, Fabio Diniz
Pubblicazione: (2025)

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

Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference
di: Siavashi, Mohammad, et al.
Pubblicazione: (2025)

Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks
di: Wang, Yidi, et al.
Pubblicazione: (2024)

A Survey of Computation Offloading with Task Types
di: Zhang, Siqi, et al.
Pubblicazione: (2023)

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

SparOA: Sparse and Operator-aware Hybrid Scheduling for Edge DNN Inference
di: Zhang, Ziyang, et al.
Pubblicazione: (2025)

Minimizing Energy in Reliability and Deadline-Ensured Workflow Scheduling in Cloud
di: Sarkar, Suvarthi, et al.
Pubblicazione: (2025)

Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators
di: K., Prashanthi S., et al.
Pubblicazione: (2023)

Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators
di: K., Prashanthi S., et al.
Pubblicazione: (2025)

Priority-Aware Model-Distributed Inference at Edge Networks
di: Li, Teng, et al.
Pubblicazione: (2024)

MSAO: Adaptive Modality Sparsity-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
di: Yang, Zheming, et al.
Pubblicazione: (2026)

Efficient Scheduling of Vehicular Tasks on Edge Systems with Green Energy and Battery Storage
di: Sarkar, Suvarthi, et al.
Pubblicazione: (2024)

DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs
di: Babaei, Amir Fakhim, et al.
Pubblicazione: (2025)

Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
di: Yahya, Mariam, et al.
Pubblicazione: (2024)

Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
di: Zhang, Yao, et al.
Pubblicazione: (2025)

Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing
di: Li, Rui, et al.
Pubblicazione: (2024)

Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device
di: Tayal, Mumuksh, et al.
Pubblicazione: (2025)

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge
di: Wolfrath, Joel, et al.
Pubblicazione: (2025)

QoS Aware Mixed-Criticality Task Scheduling in Vehicular Edge Cloud System
di: Sarkar, Suvarthi, et al.
Pubblicazione: (2024)