scispace - formally typeset
A

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
More filters
Journal ArticleDOI

A Web Platform for Interconnecting Body Sensors and Improving Health Care

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks

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.
Journal ArticleDOI

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.