AImers-6G: AI-Driven Region-temporal Resource Provisioning for 6G Immersive Services

Article Computer Science, Information Systems

AI-Bazaar: A Cloud-Edge Computing Power Trading Framework for Ubiquitous AI Services

Xiaoxu Ren et al.

Summary: This study proposes a blockchain-based computing-power trading framework (AI-Bazaar) to address issues such as low computing power utilization, selfish trading mechanisms, and inefficient AI services management. The algorithm utilizes a profit-balanced multi-agent reinforcement learning approach and demonstrates the performance and effectiveness of the framework through numerical simulations.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2023)

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Article Computer Science, Information Systems

Auction-Based Resource Allocation Mechanism in Federated Cloud Environment: TARA

Asif Iqbal Middya et al.

Summary: This article proposes a multi-unit double auction mechanism called TARA for selecting cloud federations to fulfill users' resource demands. TARA achieves properties like truthfulness, individual rationality, and budget balance, and it demonstrates high computational and system efficiency.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)

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Article Computer Science, Hardware & Architecture

The Roadmap of Communication and Networking in 6G for the Metaverse

Fengxiao Tang et al.

IEEE WIRELESS COMMUNICATIONS (2022)

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Proceedings Paper Computer Science, Information Systems

Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI

Jiawen Kang et al.

Summary: This article highlights the importance of industrial metaverses in intelligent manufacturing and proposes a user-defined privacy-preserving framework to address privacy and data sharing concerns when integrating metaverses into the Industrial Internet of Things (IIoT). Furthermore, by utilizing a cross-chain empowered federated learning framework and an age-based contract model, it enhances privacy protection and data freshness in the industrial metaverses.

2022 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2022) (2022)

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Article Engineering, Electrical & Electronic

Dynamic Edge Association and Resource Allocation in Self-Organizing Hierarchical Federated Learning Networks

Wei Yang Bryan Lim et al.

Summary: This paper introduces the concept of hierarchical FL (HFL) and studies the dynamics of edge association and resource allocation in self-organizing HFL networks through a hierarchical game framework, validating the framework's ability to capture the dynamics of the HFL system under varying sources of network heterogeneity.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2021)

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Article Automation & Control Systems

Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System

Yixue Hao et al.

Summary: This study proposed an improved DQN-based service placement algorithm to achieve optimal resource allocation and reduce service response time in industrial CPS.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

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Article Computer Science, Information Systems

Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City

Xi Lin et al.

Summary: In a smart city, IoV can assist in achieving flexible computing resource demand response by sharing idle vehicle computing resources. To ensure transaction security and privacy in the system, a consortium blockchain approach is employed without involving a centralized trusted third-party. Additionally, a two-stage Stackelberg game is constructed to encourage individual smart vehicles to participate and optimize utilities of buyers and sellers.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING (2021)

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Article Computer Science, Hardware & Architecture