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07/03/2023
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds
Vehicular clouds (VCs) are modern platforms for processing of computatio...
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10/10/2022
Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets
The challenge of exchanging and processing of big data over Mobile Crowd...
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08/26/2022
RFID: Towards Low Latency and Reliable DAG Task Scheduling over Dynamic Vehicular Clouds
Vehicular cloud (VC) platforms integrate heterogeneous and distributed r...
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06/09/2022
Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing
Mobile crowd sensing and computing (MCSC) enables heterogeneous users (w...
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01/04/2021
Let' s Trade in The Future! A Futures-Enabled Fast Resource Trading Mechanism in Edge Computing-Assisted UAV Networks
Mobile edge computing (MEC) has emerged as one of the key technical aspe...
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08/03/2020
Energy-aware Graph Job Allocation in Software Defined Air-Ground Integrated Vehicular Networks
The software defined air-ground integrated vehicular (SD-AGV) networks h...
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04/17/2020
Learning-Based Joint User-AP Association and Resource Allocation in Ultra Dense Network
With the advantages of Millimeter wave in wireless communication network...
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04/04/2020
Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV
Software-defined internet of vehicles (SDIoV) has emerged as a promising...
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03/27/2020
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks
Vehicular cloud computing has emerged as a promising solution to fulfill...
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12/12/2019
Multi-Task Offloading over Vehicular Clouds under Graph-based Representation
Vehicular cloud computing has emerged as a promising paradigm for realiz...
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03/07/2019
Allocation of Computation-Intensive Graph Jobs over Vehicular Clouds
Recent years have witnessed dramatic growth in smart vehicles and comput...
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04/05/2018
