Cover Image

QoS Aware Mixed-Criticality Task Scheduling in Vehicular Edge Cloud System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sarkar, Suvarthi, Trivedi, Aditya, Bansal, Ritish, Sahu, Aryabartta
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Efficient Profit Maximization in Reliability Concerned Static Vehicular Cloud System
by: Sarkar, Suvarthi, et al.
Published: (2023)

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

DSPE: Profit Maximization in Edge-Cloud Storage System using Dynamic Space Partitioning with Erasure Code
by: Roy, Shubhradeep, et al.
Published: (2025)

Scientific Workflow Scheduling in Cloud Considering Cold Start and Variable Pricing Model
by: Sarkar, Suvarthi, et al.
Published: (2025)

Power Aware Container Placement in Cloud Computing with Affinity and Cubic Power Model
by: Sarkar, Suvarthi, et al.
Published: (2024)

Adaptive K-PackCache: Cost-Centric Data Caching in Cloud
by: Sarkar, Suvarthi, et al.
Published: (2025)

DAG-Based QoS-Aware Dynamic Task Placement for Networked Multi-Stage Control Pipelines
by: Tran, Thien, et al.
Published: (2026)

Cost-Effective Edge Data Distribution with End-To-End Delay Guarantees in Edge Computing
by: Shankar, Ravi, et al.
Published: (2025)

Edge-Based QoS-Aware Adaptive Task Placement: A Closed-Loop Control in Multi-Robot Systems
by: Tran, Thien, et al.
Published: (2026)

EDD-NSTE: Edge Data Distribution as a Network Steiner Tree Estimation in Edge Computing
by: Shankar, Ravi, et al.
Published: (2025)

Mercury: QoS-Aware Tiered Memory System
by: Lu, Jiaheng, et al.
Published: (2024)

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

Beyond the Bermuda Triangle of Contention: IOMMU Interference in Mixed Criticality Systems
by: Costa, Diogo, et al.
Published: (2025)

QoE-oriented Dependent Task Scheduling under Multi-dimensional QoS Constraints over Distributed Networks
by: Fan, Xuwei, et al.
Published: (2023)

H-MBR: Hypervisor-level Memory Bandwidth Reservation for Mixed Criticality Systems
by: Oliveira, Afonso, et al.
Published: (2025)

QoS-aware Scheduling of Periodic Real-time Task Graphs on Heterogeneous Pre-occupied MECs
by: Shankar, Ashutosh, et al.
Published: (2025)

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
by: Aslan, Haci Ismail, et al.
Published: (2025)

TALICS$^3$: Tape Library Cloud Storage System Simulator
by: Arslan, Suayb S., et al.
Published: (2024)

Equinox: Decentralized Scheduling for Hardware-Aware Orbital Intelligence
by: Erol, Ansel Kaplan, et al.
Published: (2026)

VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
by: Ballotta, Luca, et al.
Published: (2023)

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Load Balancing
by: Jain, Kunal, et al.
Published: (2024)

Vessim: A Testbed for Carbon-Aware Applications and Systems
by: Wiesner, Philipp, et al.
Published: (2023)

Carbon- and Precedence-Aware Scheduling for Data Processing Clusters
by: Lechowicz, Adam, et al.
Published: (2025)

Cloud-Based Scheduling Mechanism for Scalable and Resource-Efficient Centralized Controllers
by: Seisa, Achilleas Santi, et al.
Published: (2024)

Stannic: Systolic STochAstic ONliNe SchedulIng AcCelerator
by: Ross, Adam H., et al.
Published: (2025)

QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum
by: Čilić, Ivan, et al.
Published: (2024)

ARCAS: Adaptive Runtime System for Chiplet-Aware Scheduling
by: Fogli, Alessandro, et al.
Published: (2025)

On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud
by: Sukprasert, Thanathorn, et al.
Published: (2023)

Hybrid Cooperative Co-Evolution Algorithm for Deadlock-prone Distributed Assembly Flowshop Scheduling with Limited buffers Using Petri nets
by: Wang, Siyi, et al.
Published: (2024)

CUDA Kernel Optimization and Counter-Free Performance Analysis for Depthwise Convolution in Cloud Environments
by: Babak, Huriyeh, et al.
Published: (2026)

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure
by: Zhang, Chaoyun, et al.
Published: (2024)

Carbon-Aware Quality Adaptation for Energy-Intensive Services
by: Wiesner, Philipp, et al.
Published: (2024)

Context-Aware Trustworthy IoT Energy Services Provisioning
by: Abusafia, Amani, et al.
Published: (2023)

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS
by: Pradeep, Preethika, et al.
Published: (2025)

Balancing Fairness and Performance in Multi-User Spark Workloads with Dynamic Scheduling (extended version)
by: Kažemaks, Dāvis, et al.
Published: (2025)

Efficient Coordination for Distributed Discrete-Event Systems
by: Jun, Byeonggil, et al.
Published: (2024)

Parallel/Distributed Tabu Search for Scheduling Microprocessor Tasks in Hybrid Flowshop
by: Janiak, Adam, et al.
Published: (2025)

Optimizing Sensor Node Localization for Achieving Sustainable Smart Agriculture System Connectivity
by: Naeem, Mohamed
Published: (2025)

Investigating Timing-Based Information Leakage in Data Flow-Driven Real-Time Systems
by: Babar, Mohammad Fakhruddin, et al.
Published: (2025)