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DAG Scheduling in Mobile Edge Computing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.jpdc.2008.04.001openalex-snapshot
Task scheduling algorithm using minimized duplications in homogeneous systems
inferredcites →https://doi.org/10.1109/71.993206openalex-snapshot
Performance-effective and low-complexity task scheduling for heterogeneous computing
inferredcites →https://doi.org/10.1109/cloud.2017.39openalex-snapshot
Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile Edge Clouds
inferredcites →https://doi.org/10.1109/clustr.2000openalex-snapshot
Proceedings IEEE International Conference on Cluster Computing. CLUSTER 2000
inferredcites →https://doi.org/10.1109/comst.2017.2682318openalex-snapshot
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
inferredcites →https://doi.org/10.1109/comst.2017.2745201openalex-snapshot
A Survey on Mobile Edge Computing: The Communication Perspective
inferredcites →https://doi.org/10.1109/infcom.2011.5935123openalex-snapshot
Content-aware caching and traffic management in content distribution networks
inferredcites →https://doi.org/10.1109/infcom.2013.6566761openalex-snapshot
Energy-efficient scheduling policy for collaborative execution in mobile cloud computing
inferredcites →https://doi.org/10.1109/infocom.2019.8737577openalex-snapshot
Dedas: Online Task Dispatching and Scheduling with Bandwidth Constraint in Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2017.2750180openalex-snapshot
Mobile Edge Computing: A Survey
inferredcites →https://doi.org/10.1109/jiot.2017.2786343openalex-snapshot
Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks
inferredcites →https://doi.org/10.1109/jiot.2018.2874954openalex-snapshot
Task Scheduling in Deadline-Aware Mobile Edge Computing Systems
inferredcites →https://doi.org/10.1109/jiot.2018.2876279openalex-snapshot
Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/jproc.2019.2922285openalex-snapshot
Computation Offloading Toward Edge Computing
inferredcites →https://doi.org/10.1109/jsac.2016.2611964openalex-snapshot
Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices
inferredcites →https://doi.org/10.1109/jsac.2018.2815360openalex-snapshot
Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network
inferredcites →https://doi.org/10.1109/jsac.2021.3064655openalex-snapshot
Latency-Sensitive Edge/Cloud Serverless Dynamic Deployment Over Telemetry-Based Packet-Optical Network
inferredcites →https://doi.org/10.1109/mcom.2019.1800971openalex-snapshot
Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning
inferredcites →https://doi.org/10.1109/rtss55097.2022.00045openalex-snapshot
Exact Response-Time Bounds of Periodic DAG Tasks under Server-Based Global Scheduling
inferredcites →https://doi.org/10.1109/tc.2015.2435781openalex-snapshot
Cost Aware Service Placement and Load Dispatching in Mobile Cloud Systems
inferredcites →https://doi.org/10.1109/tcc.2016.2560808openalex-snapshot
Optimal Joint Scheduling and Cloud Offloading for Mobile Applications
inferredcites →https://doi.org/10.1109/tmc.2017.2679712openalex-snapshot
Hermes: Latency Optimal Task Assignment for Resource-constrained Mobile Computing
inferredcites →https://doi.org/10.1109/tmc.2018.2831230openalex-snapshot
Energy-Efficient Dynamic Computation Offloading and Cooperative Task Scheduling in Mobile Cloud Computing
inferredcites →https://doi.org/10.1109/tnet.2018.2842798openalex-snapshot
Deploying Chains of Virtual Network Functions: On the Relation Between Link and Server Usage
inferredcites →https://doi.org/10.1109/tpds.2018.2851221openalex-snapshot
A Novel Task-Duplication Based Clustering Algorithm for Heterogeneous Computing Environments
inferredcites →https://doi.org/10.1109/tsc.2018.2890603openalex-snapshot
Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile Edge Clouds
inferredcites →https://doi.org/10.1109/tvt.2019.2924015openalex-snapshot
Online Deep Reinforcement Learning for Computation Offloading in Blockchain-Empowered Mobile Edge Computing
inferredcites →https://doi.org/10.1109/twc.2018.2876823openalex-snapshot
Spatio–Temporal Edge Service Placement: A Bandit Learning Approach
inferredcites →https://doi.org/10.1145/2479942.2479946openalex-snapshot
A framework for partitioning and execution of data stream applications in mobile cloud computing
inferredcites →https://doi.org/10.1145/2796314.2745873openalex-snapshot
Reducing Latency via Redundant Requests
inferredcites →https://doi.org/10.1145/2942358.2942363openalex-snapshot
Asymptotically optimal algorithm for online reconfiguration of edge-clouds
inferredcites →https://doi.org/10.1145/3579643openalex-snapshot
Rise of the Planet of Serverless Computing: A Systematic Review
inferredcites →https://doi.org/10.4230/oasics.microservices.2020-2022.5openalex-snapshot
Cloud Programming Simplified: A Berkeley View on Serverless Computing
inferredcites →https://doi.org/10.48550/arxiv.2206.12275openalex-snapshot
Rise of the Planet of Serverless Computing: A Systematic Review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00521-026-12301-xopenalex-snapshot
FedBal: a self-adaptive and semi-asynchronous federated learning framework against the imbalance of client updates
inferred← citeshttps://doi.org/10.1007/s10723-024-09775-1openalex-snapshot
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation
inferred← citeshttps://doi.org/10.1007/s40031-024-01113-zopenalex-snapshot
An Improved Graph Partitioning Algorithm Based Approach for Workflow Offloading in a Fog Environment
inferred← citeshttps://doi.org/10.1007/s40747-026-02249-9openalex-snapshot
AI-native cloud-edge orchestration for 6G metaverse networks: an LLM-guided multi-agent DRL approach
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100887openalex-snapshot
Revisiting workflow scheduling with the power of edge computing: Taxonomy, review, and open challenges
inferred← citeshttps://doi.org/10.1016/j.future.2024.04.003openalex-snapshot
An assignment mechanism for workflow scheduling in Function as a Service edge environment
inferred← citeshttps://doi.org/10.1109/icdcs63083.2025.00091openalex-snapshot
Sdser: Online Deployment and Scheduling of Dynamic DAG Functions with Bayesian Prediction in Serverless Edge Computing
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00127openalex-snapshot
Online Container Caching with Late-Warm for IoT Data Processing
inferred← citeshttps://doi.org/10.1109/ichbc68357.2025.11414606openalex-snapshot
A Proactive and Hierarchical Workflow Scheduling Scheme for Cloud-Edge-End Collaboration
inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00308openalex-snapshot
Online Function Caching in Serverless Edge Computing
inferred← citeshttps://doi.org/10.1109/icws62655.2024.00120openalex-snapshot
SFSM: A Serverless Function Scheduling Method for FaaS Applications over Edge Computing
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227695openalex-snapshot
OWAS-DRL: Online Workflow Application Scheduling in Dynamic Mobile Edge Computing with Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/isceic67854.2025.11405486openalex-snapshot
HRA-DRL: Hybrid Runtime-Aware Workflow Scheduling in Serverless Edge Computing using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/iwqos65803.2025.11143376openalex-snapshot
Online Deployment of Dynamic Edge DAG Serverless Functions Toward Fast Startup
inferred← citeshttps://doi.org/10.1109/jiot.2026.3716973openalex-snapshot
Intent-Driven Task Coordination in Low-Altitude IoT Networks: Autonomous Cognitive Agents via LLMs and Distributed Active Inference
inferred← citeshttps://doi.org/10.1109/tcc.2024.3468913openalex-snapshot
QoS-Aware, Cost-Efficient Scheduling for Data-Intensive DAGs in Multi-Tier Computing Environment
inferred← citeshttps://doi.org/10.1109/tccn.2026.3721526openalex-snapshot
DREAM: A Dynamic Ripple-Effect-Aware Meta-Scheduling Scheme for Cloud-Edge-End Collaborative AI Computing
inferred← citeshttps://doi.org/10.1109/tnse.2025.3627391openalex-snapshot
Graph-Aware Diffusion Policy for Fault-Tolerant Agentic AI Service Migration in Edge Computing Power Networks
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3561739openalex-snapshot
Joint DNN Partitioning and Task Offloading Based on Attention Mechanism-Aided Reinforcement Learning
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