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Albert Y. Zomaya
Researcher at University of Sydney
Publications - 1020
Citations - 30827
Albert Y. Zomaya is an academic researcher from University of Sydney. The author has contributed to research in topics: Cloud computing & Scheduling (computing). The author has an hindex of 75, co-authored 946 publications receiving 24637 citations. Previous affiliations of Albert Y. Zomaya include University of Alabama & University of Sheffield.
Papers
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Journal ArticleDOI
HPC-Based Intelligent Volt/VAr Control of Unbalanced Distribution Smart Grid in the Presence of Noise
TL;DR: This paper considers realistic distribution system models that include unbalanced loadings and multi-phased feeders and the presence of gross errors such as communication errors and device malfunction, as well as random noise in data processing.
Proceedings ArticleDOI
Information fusion techniques applied to Shared Sensor and Actuator Networks
TL;DR: This work presents an adaptation (and enhancement) of a well-known fusion technique in order to deal with multiple applications simultaneously in a context of Shared Sensor and Actuator Networks (SSAN).
Journal ArticleDOI
CloudFlow: A data-aware programming model for cloud workflow applications on modern HPC systems
TL;DR: This work is supported by a grant # 09-1116-1-172 from the Qatar National Research Fund and the Ministry of Science and Technology of China under National 973 Basic Research Program.
Proceedings Article
A bi-objective hybrid genetic algorithm to minimize energy consumption and makespan for precedence-constrained applications using dynamic voltage scaling
TL;DR: In this paper, a new bi-objective hybrid genetic algorithm that takes into account not only makespan, but also energy consumption was proposed to minimize energy consumption in precedence-constrained parallel applications on HCSs.
Proceedings ArticleDOI
Data-Intensive Workload Consolidation for the Hadoop Distributed File System
TL;DR: In this paper, the authors investigated the interrelationship between last level cache contention and throughput degradation for consolidated workloads on a single physical serve deploying Hadoop distributed file system (HDFS).