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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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Obstacle Avoidance in Multi-Robot Systems, Experiments in Parallel Genetic Algorithms

Mark A. C. Gill, +1 more
TL;DR: The parallel computing path planning search techniques inverse kinematics collision detection collision avoidance examples discussion, conclusions and future work show how these techniques can be applied to collision avoidance.
Journal ArticleDOI

Cost Performance Driven Service Mashup: A Developer Perspective

Shuiguang Deng, +4 more
- 01 Aug 2016 - 
TL;DR: A genetic algorithm-based method, genetic algorithm for mashup creation (GA4MC), is proposed to select component services and deployment platforms in order to create service mashups with optimal cost performance.
Proceedings ArticleDOI

Edge-based Energy Management for Smart Homes

Chunqiu Xia, +5 more
TL;DR: An edge-based energy management framework is proposed, which enables low electricity cost and saves budgets on building up the infrastructure, and a location-awareness non-intrusive load monitoring (NILM) algorithm is used to achieve energy disaggregation at different times during a day.
Journal ArticleDOI

An overview of protein-folding techniques: issues and perspectives

Abdur Rahman, +1 more
- 01 Apr 2005 - 
TL;DR: This survey presents the state-of-the-art in protein structure prediction methods from a computer scientist perspective.
Journal ArticleDOI

Energy-Efficient Deployment of Edge Dataenters for Mobile Clouds in Sustainable IoT

Sambit Kumar Mishra, +5 more
- 01 Jan 2018 - 
TL;DR: An adaptive technique to optimize both parameters, i.e., energy consumption and latency by offloading the task and also by selecting the appropriate virtual machine for the execution of the task is proposed.