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Xuyun Zhang
Researcher at Macquarie University
Publications - 205
Citations - 6573
Xuyun Zhang is an academic researcher from Macquarie University. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 38, co-authored 170 publications receiving 4624 citations. Previous affiliations of Xuyun Zhang include Huazhong University of Science and Technology & University of Technology, Sydney.
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A Game-Theoretical Approach for User Allocation in Edge Computing Environment
TL;DR: This work proposes EUAGame, a game-theoretic approach that formulates the EUA problem as a potential game and designs a novel decentralized algorithm for finding a Nash equilibrium in the game as a solution to theEUA problem.
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A computation offloading method over big data for IoT-enabled cloud-edge computing
TL;DR: A system model and dynamic schedules of data/control-constrained computing tasks are investigated, including the execution time and energy consumption for mobile devices, and NSGA-III (non-dominated sorting genetic algorithm III) is employed to address the multi-objective optimization problem of task offloading in cloud-edge computing.
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BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing
TL;DR: A blockchain-enabled computation offloading method, named BeCome, is proposed in this article, whereby Blockchain technology is employed in edge computing to ensure data integrity and simple additive weighting and multicriteria decision making are utilized to identify the optimal offloading strategy.
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A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud
TL;DR: This paper proposes a scalable two-phase top-down specialization (TDS) approach to anonymize large-scale data sets using the MapReduce framework on cloud and demonstrates that the scalability and efficiency of TDS can be significantly improved over existing approaches.
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MuR-DPA: Top-Down Levelled Multi-Replica Merkle Hash Tree Based Secure Public Auditing for Dynamic Big Data Storage on Cloud
TL;DR: MuR-DPA as mentioned in this paper is a public data auditing scheme based on the Merkle hash tree (MHT), which can not only incur much less communication overhead for both update verification and integrity verification of cloud datasets with multiple replicas, but also provide enhanced security against dishonest cloud service providers.