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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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Proceedings ArticleDOI

Exploring Layered Container Structure for Cost Efficient Microservice Deployment

TL;DR: In this article, an Accelerated Distributed Augmented Lagrangian (ADAL) based distributed algorithm executed cooperatively by registries and servers is proposed to accelerate the microservice startup by 2.30 times and reduce the storage consumption by 55.33%.
Proceedings ArticleDOI

A novel quartet-based method for phylogenetic inference

TL;DR: This paper introduces a novel quartet-based algorithm that first calculates the likelihood values of the three possible resolved trees for each quartet and transforms them into three posterior probabilities (or Quartet weights), and then it accumulates quartet weights to generate a global Quartet-weight matrix.
Proceedings ArticleDOI

Reliable workflow execution in distributed systems for cost efficiency

TL;DR: This work investigates the reliability of workflow execution in the context of scheduling and its effect on operating costs in DCSs, and presents the reliability for profit assurance (RPA) algorithm as a novel workflow scheduling heuristic to increase reliability.
Journal ArticleDOI

A novel swarm based feature selection algorithm in multifunction myoelectric control

TL;DR: A new feature selection method based on modifying the Particle Swarm Optimization algorithm with the inclusion of Mutual Information (MI) measure is presented, called BPSOMI, which is a mixture of filter and wrapper approaches of feature selection.
Journal ArticleDOI

A Geometric Deployment and Routing Scheme for Directional Wireless Mesh Networks

TL;DR: The main idea of this strategy is to deploy mesh networks in certain kind of geometric graph, and then design a geometric routing protocol by exploiting the routing properties of this graph.