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07/28/2023
DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud
To effectively process data across a fleet of dynamic and distributed ve...
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06/25/2023
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks
By opportunistically engaging mobile users (workers), mobile crowdsensin...
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10/13/2022
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks over Vehicular Clouds with Dynamic Resources
Vehicular cloud (VC) is a promising technology for processing 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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08/25/2022
Overbook in Advance, Trade in Future: Computing Resource Provisioning in Hybrid Device-Edge-Cloud Networks
The big data processing in distributed Internet of Things (IoT) systems ...
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08/08/2022
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets
We investigate a data quality-aware dynamic client selection problem for...
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06/13/2022
Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks
Federated learning (FL) represents a promising distributed machine learn...
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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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06/04/2022
Hybrid Architectures for Distributed Machine Learning in Heterogeneous Wireless Networks
The ever-growing data privacy concerns have transformed machine learning...
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08/16/2021
Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading in Mobile Edge Networks
Securing necessary resources for edge computing processes via effective ...
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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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01/04/2021
Resource Trading in Edge Computing-enabled IoV: An Efficient Futures-based Approach
Mobile edge computing (MEC) has become a promising solution to utilize d...
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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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04/04/2020
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
