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Yun Yang
Researcher at Swinburne University of Technology
Publications - 333
Citations - 8834
Yun Yang is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Cloud computing & Workflow. The author has an hindex of 43, co-authored 296 publications receiving 6579 citations. Previous affiliations of Yun Yang include Anhui University & University of Auckland.
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Achieving convergence, causality preservation, and intention preservation in real-time cooperative editing systems
TL;DR: A consistency model, with properties of convergence, causality preservation, and intention preservation, is proposed as a framework for consistency maintenance in real-time cooperative editing systems and an integrated set of schemes and algorithms are devised.
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Pantropical Climate Interactions
Wenju Cai,Wenju Cai,Lixin Wu,Matthieu Lengaigne,Matthieu Lengaigne,Tim Li,Shayne McGregor,Jong-Seong Kug,Jin-Yi Yu,Malte F. Stuecker,Agus Santoso,Agus Santoso,Xichen Li,Yoo-Geun Ham,Yoshimitsu Chikamoto,Benjamin Ng,Michael J. McPhaden,Yan Du,Dietmar Dommenget,Fan Jia,Jules B. Kajtar,Noel Keenlyside,Noel Keenlyside,Xiaopei Lin,Jing-Jia Luo,Marta Martín-Rey,Marta Martín-Rey,Yohan Ruprich-Robert,Guojian Wang,Guojian Wang,Shang-Ping Xie,Yun Yang,Sarah M. Kang,Jun-Young Choi,Bolan Gan,Geon-Il Kim,Chang Eun Kim,Sun-Young Kim,Jeong-Hwan Kim,Ping Chang +39 more
TL;DR: Advances in the understanding of pantropical interbasin climate interactions are reviewed and their implications for both climate prediction and future climate projections are reviewed.
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A data placement strategy in scientific cloud workflows
TL;DR: A matrix based k-means clustering strategy for data placement in scientific cloud workflows that dynamically clusters newly generated datasets to the most appropriate data centres-based on dependencies-during the runtime stage is proposed.
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A market-oriented hierarchical scheduling strategy in cloud workflow systems
TL;DR: The hierarchical scheduling strategy is being implemented in the SwinDeW-C cloud workflow system and demonstrating satisfactory performance, and the experimental results show that the overall performance of ACO based scheduling algorithm is better than others on three basic measurements: the optimisations rate on makespan, the optimisation rate on cost and the CPU time.
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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.