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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.

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Some results on the computation of Voronoi diagrams on a mesh with multiple broadcasting

TL;DR: New results for the computation of Voronoi diagrams for a set of n points, or n disjoint circles on the plane, on a mesh with multiple broadcasting (MMB) of size n × n are presented.
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SLA-Aware Resource Scaling for Energy Efficiency

TL;DR: Energy-Based Auto Scaling (EBAS) is presented as a new resource auto-scaling approach—that takes into account Service Level Agreement (SLA)—for CDCs and contributes to enhancing DVFS by making it aware of SLA conditions, which leads to savings of computing power and in turn energy.
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Fingerprint Identification With Shallow Multifeature View Classifier

TL;DR: An efficient fingerprint identification system that implements an initial classification for search-space reduction followed by minutiae neighbor-based feature encoding and matching and shows that the search space is reduced by over 50% without degradation of identification accuracies.
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fgSpMSpV: A Fine-grained Parallel SpMSpV Framework on HPC Platforms

TL;DR: A fine-grained parallel SpMSpV (fgSpM SpV) framework on Sunway TaihuLight supercomputer to alleviate the challenges for large-scale real-world applications and uses several optimization techniques to further utilize the computing resources.
Proceedings ArticleDOI

Quality of security through triple key scheme in wireless sensor networks

TL;DR: A quality of security (QoSec) concept through a triple key scheme (TKS) which has comparatively low security overheads hence providing a quality security solution against the known attacks in wireless sensor networks.