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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
Energy and communication aware task mapping for MPSoCs
Tahir Maqsood,Nikos Tziritas,Thanasis Loukopoulos,Sajjad A. Madani,Samee U. Khan,Samee U. Khan,Cheng-Zhong Xu,Cheng-Zhong Xu,Albert Y. Zomaya +8 more
TL;DR: A novel Knapsack based bin packing algorithm for workload consolidation that places tasks in such a manner that utilization of available processing elements is maximized, while network overhead, regarding the communication among the tasks, is minimized.
Proceedings ArticleDOI
Dynamic Control of CPU Usage in a Lambda Platform
TL;DR: A closed-loop (feedback-based) CPU cap controller is presented, which fulfills the QoS levels enforced by the application owners and can maintain the end-to-end response time of applications belonging to the highest priority QoS class close to the target set-point while decreasing the overall response time.
Proceedings ArticleDOI
VLOCI2: improving 2D location coordinates using distance measurements in GPS-equipped VANETs
TL;DR: The problem of further improving the accuracy of GPS-provided coordinates of vehicles within the same VANET (Vehicular Ad-Hoc Network) is addressed and VLOCI2 is shown to perform efficiently when erroneous distance measurements are present in the environment/computers.
Proceedings ArticleDOI
A parallel island-based hybrid genetic algorithm for precedence-constrained applications to minimize energy consumption and makespan
Mohand Mezmaz,Y. Kessaci,Young Choon Lee,Nouredine Melab,E-G. Talbi,Albert Y. Zomaya,Daniel Tuyttens +6 more
TL;DR: Task scheduling algorithms are designed mostly with the sole goal of minimizing makespan (completion time) and almost all research works related to this kind of algorithms do not pay much attention to energy consumption.