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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
Dynamical Resource Allocation in Edge for Trustable Internet-of-Things Systems: A Reinforcement Learning Method
Shuiguang Deng,Zhengzhe Xiang,Peng Zhao,Javid Taheri,Honghao Gao,Jianwei Yin,Albert Y. Zomaya +6 more
TL;DR: This article first encode the state of the service provisioning system and the resource allocation scheme and model the adjustment of allocated resources for services as a Markov decision process (MDP), and gets a trained resource allocating policy with the help of the reinforcement learning (RL) method.
Proceedings ArticleDOI
Energy-efficient data replication in cloud computing datacenters
TL;DR: This work considers both energy efficiency and bandwidth consumption of the system, in addition to the improved Quality of Service (QoS) as a result of the reduced communication delays, during extensive simulations of data replication in cloud computing data centers.
Journal ArticleDOI
Remote Data Auditing in Cloud Computing Environments: A Survey, Taxonomy, and Open Issues
Mehdi Sookhak,Abdullah Gani,Hamid Talebian,Adnan Akhunzada,Samee U. Khan,Rajkumar Buyya,Albert Y. Zomaya +6 more
TL;DR: This survey aims to investigate similarities and differences of such a framework on the basis of the thematic taxonomy to diagnose significant and explore major outstanding issues in the domain of the distributed clouds.
Journal ArticleDOI
Mobility-Aware Service Composition in Mobile Communities
TL;DR: A mobile service provisioning architecture named a mobile service sharing community is proposed and a service composition approach by utilizing the Krill-Herd algorithm is proposed, which can obtain superior solutions as compared with current standard composition methods in mobile environments.
Journal ArticleDOI
Quantitative comparisons of the state-of-the-art data center architectures
Kashif Bilal,Samee U. Khan,Limin Zhang,Hongxiang Li,Khizar Hayat,Sajjad A. Madani,Nasro Min-Allah,Lizhe Wang,Dan Chen,Majid I. Iqbal,Cheng-Zhong Xu,Albert Y. Zomaya +11 more
TL;DR: This paper has implemented and simulated the state of the art DCN models in this paper, namely: (a) legacy DCN architecture, (b) switch‐based, and (c) hybrid models, and compared their effectiveness by monitoring the network: throughput and average packet delay.