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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
A Web Platform for Interconnecting Body Sensors and Improving Health Care
Pedro Maia,Thais Batista,Everton Cavalcante,Everton Cavalcante,Augusto Baffa,Flavia C. Delicato,Paulo F. Pires,Albert Y. Zomaya +7 more
TL;DR: This paper introduces EcoHealth (Ecosystem of Health Care Devices), a Web middleware platform for connecting doctors and patients using attached body sensors, thus aiming to provide improved health monitoring and diagnosis for patients.
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Evolutionary Scheduling of Dynamic Multitasking Workloads for Big-Data Analytics in Elastic Cloud
TL;DR: Experimental results show that the evolutionary approach compared with existing methods, such as Monte Carlo and Blind Pick, can achieve higher overall average scheduling performance in real-world applications with dynamic workloads and an optimal computing budget allocating method that smartly allocates computing cycles to the most promising schedules.
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Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers
TL;DR: Simulation results show that the proposed approaches significantly reduce the number of VM migrations and energy consumption while maintaining the QoS guarantee.
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Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks
Liang Zhao,Weiliang Zhao,Ammar Hawbani,Ahmed Al-Dubai,Geyong Min,Albert Y. Zomaya,Changqing Gong +6 more
TL;DR: An efficient online sequential learning-based adaptive routing scheme, namely, Penicillium reproduction-based Online Learning Adaptive Routing scheme (POLAR) for hybrid SDVNs, which can dynamically select a routing strategy for a specific traffic scenario by learning the pattern from network traffic.
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Adaptive Resource Allocation and Provisioning in Multi-Service Cloud Environments
TL;DR: This study considers the cloud market where various resources in the form of Virtual Machine (VM) instances can be provisioned and then leased to clients with QoS guarantees, and proposes a novel Service Level Agreement (SLA) framework for cloud computing, in which a price control parameter is used to meet QoS demands for all classes in the market.