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EASE: Energy‐efficient task scheduling for edge computing under uncertain runtime and unstable communication conditions

https://doi.org/10.1002/cpe.5465
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471732710openalex-snapshot
High‐Performance Computing
inferredcites →https://doi.org/10.1016/j.future.2016.06.024openalex-snapshot
Recovery for overloaded mobile edge computing
inferredcites →https://doi.org/10.1016/j.future.2019.01.014openalex-snapshot
DEED: Dynamic Energy-Efficient Data offloading for IoT applications under unstable channel conditions
inferredcites →https://doi.org/10.1016/j.ins.2018.09.012openalex-snapshot
Fast neighbor search by using revised k-d tree
inferredcites →https://doi.org/10.1016/j.ins.2018.10.020openalex-snapshot
DEFT: Dynamic Fault-Tolerant Elastic scheduling for tasks with uncertain runtime in cloud
inferredcites →https://doi.org/10.1016/j.patcog.2018.05.030openalex-snapshot
A fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data
inferredcites →https://doi.org/10.1057/jors.1987.94openalex-snapshot
Theory of Linear and Integer Programming
inferredcites →https://doi.org/10.1109/cloud.2016.0058openalex-snapshot
A Utility-Aware Approach to Redundant Data Upload in Cooperative Mobile Cloud
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/infocom.2017.8057150openalex-snapshot
Joint offloading and resource allocation for computation and communication in mobile cloud with computing access point
inferredcites →https://doi.org/10.1109/jsac.2015.2478718openalex-snapshot
DREAM: Dynamic Resource and Task Allocation for Energy Minimization in Mobile Cloud Systems
inferredcites →https://doi.org/10.1109/mc.2010.98openalex-snapshot
Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?
inferredcites →https://doi.org/10.1109/mwc.2015.7143326openalex-snapshot
Device-to-device-based heterogeneous radio access network architecture for mobile cloud computing
inferredcites →https://doi.org/10.1109/rtcsa.1999.811284openalex-snapshot
Hybrid genetic algorithms for scheduling partially ordered tasks in a multi-processor environment
inferredcites →https://doi.org/10.1109/tc.2013.223openalex-snapshot
NextCell: Predicting Location Using Social Interplay from Cell Phone Traces
inferredcites →https://doi.org/10.1109/tcc.2014.2326169openalex-snapshot
Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud
inferredcites →https://doi.org/10.1109/tii.2018.2791424openalex-snapshot
An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing
inferredcites →https://doi.org/10.1109/tnet.2015.2487344openalex-snapshot
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
inferredcites →https://doi.org/10.1109/tpds.2014.2316834openalex-snapshot
Decentralized Computation Offloading Game for Mobile Cloud Computing
inferredcites →https://doi.org/10.1109/tpds.2016.2543731openalex-snapshot
Fault-Tolerant Scheduling for Real-Time Scientific Workflows with Elastic Resource Provisioning in Virtualized Clouds
inferredcites →https://doi.org/10.1109/tpds.2017.2678507openalex-snapshot
Scheduling for Workflows with Security-Sensitive Intermediate Data by Selective Tasks Duplication in Clouds
inferredcites →https://doi.org/10.1109/tsc.2015.2497705openalex-snapshot
Deep Computation Model for Unsupervised Feature Learning on Big Data
inferredcites →https://doi.org/10.1109/tsc.2018.2866421openalex-snapshot
Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment
inferredcites →https://doi.org/10.1109/twc.2013.072513.121842openalex-snapshot
Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel
inferredcites →https://doi.org/10.1109/twc.2014.2331051openalex-snapshot
Collaborative Task Execution in Mobile Cloud Computing Under a Stochastic Wireless Channel
inferredcites →https://doi.org/10.1109/twc.2018.2820077openalex-snapshot
Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing
inferredcites →https://doi.org/10.1145/2423636.2423642openalex-snapshot
Thermal-aware task scheduling in 3D chip multiprocessor with real-time constrained workloads
inferredcites →https://doi.org/10.1145/792548.611918openalex-snapshot
Bubble sort
inferredcites →https://doi.org/10.1287/moor.8.4.538openalex-snapshot
Integer Programming with a Fixed Number of Variables

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11227-022-04338-1openalex-snapshot
Classification of resource management approaches in fog/edge paradigm and future research prospects: a systematic review
inferred← citeshttps://doi.org/10.1007/s11227-023-05714-1openalex-snapshot
Multi objective dynamic task scheduling optimization algorithm based on deep reinforcement learning
inferred← citeshttps://doi.org/10.1007/s12083-021-01203-5openalex-snapshot
Double agents-DQL based D2D computing-offloading for SHVC
inferred← citeshttps://doi.org/10.1007/s40031-025-01200-9openalex-snapshot
Review on Meta-heuristic Algorithm-Based Priority-Aware Computation Offloading in Edge Computing System
inferred← citeshttps://doi.org/10.1016/j.comcom.2023.10.020openalex-snapshot
A many-objective evolutionary algorithm for solving computation offloading problems under uncertain communication conditions
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.03.141openalex-snapshot
Adaptive offloading and scheduling algorithm for big data based mobile edge computing
inferred← citeshttps://doi.org/10.1038/s41598-025-25666-1openalex-snapshot
Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing
inferred← citeshttps://doi.org/10.1109/bigdia56350.2022.9874024openalex-snapshot
Load Balance Traffic Scheduling for Live Streaming Services in Edge
inferred← citeshttps://doi.org/10.1109/bigdia56350.2022.9874194openalex-snapshot
QoE-Aware User Allocation in Edge Computing Systems for Popular Services
inferred← citeshttps://doi.org/10.1109/iceiec49280.2020.9152366openalex-snapshot
Energy-efficient Cooperative Storage Scheduling for Mobile Edge Cloud under Unstable Communication Conditions
inferred← citeshttps://doi.org/10.1109/icfec57925.2023.00018openalex-snapshot
Fault Tolerant Edge Computing: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/jiot.2022.3151053openalex-snapshot
Data Offloading Enabled by Heterogeneous UAVs for IoT Applications Under Uncertain Environments
inferred← citeshttps://doi.org/10.1109/services48979.2020.00063openalex-snapshot
Task Scheduling of High Dynamic Edge Cluster in Satellite Edge Computing
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3566395openalex-snapshot
Enhancing Dependability of Fog Computing Using Learning-Based Task Scheduling
inferred← citeshttps://doi.org/10.1109/tmc.2022.3218402openalex-snapshot
A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices
inferred← citeshttps://doi.org/10.1109/tsc.2020.3029136openalex-snapshot
An Edge Storage Acceleration Service for Collaborative Mobile Devices
inferred← citeshttps://doi.org/10.3390/s21103513openalex-snapshot
HAGP: A Heuristic Algorithm Based on Greedy Policy for Task Offloading with Reliability of MDs in MEC of the Industrial Internet
inferred← citeshttps://doi.org/10.3390/s21134553openalex-snapshot
A Novel Approach to the Job Shop Scheduling Problem Based on the Deep Q-Network in a Cooperative Multi-Access Edge Computing Ecosystem
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