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Rajkumar Buyya

Researcher at University of Melbourne

Publications -  1143
Citations -  108162

Rajkumar Buyya is an academic researcher from University of Melbourne. The author has contributed to research in topics: Cloud computing & Grid computing. The author has an hindex of 133, co-authored 1066 publications receiving 95164 citations. Previous affiliations of Rajkumar Buyya include Walter and Eliza Hall Institute of Medical Research & Infosys.

Papers
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Proceedings Article

Cluster Computing

TL;DR: The aim of this special issue is to bring together original and latest work from both academia and industry on various issues related to cluster computing.
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Dynamic Selection of Virtual Machines for Application Servers in Cloud Environments

TL;DR: In this article, the authors propose an approach for dynamic VM type selection, which uses a combination of online machine learning techniques, works in real time and adapts to changes in the users' workload patterns, application changes as well as middleware upgrades and reconfigurations.
Posted Content

A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs)

TL;DR: In this article, the authors proposed a data-driven frequency scaling technique by predicting the power and execution time of a given application over different clock settings, which can be easily extended to different kinds of workloads and GPU architectures.
Proceedings Article

A grid based e-research platform for clinical management in the human respiratory and vascular system

TL;DR: A Grid based e-Research platform is being developed for providing a simulation-based virtual reality environment for clinical management and therapy treatment and will furnish a foundation for cross-disciplinary collaboration and will definitely foster further advancement of related biomechanics researches.

Systematic Scalability Modeling of QoS-aware Dynamic Service Composition

TL;DR: A new application of goal-modelling is reported on, providing a systematic technique that can support DSC designers and architects in identifying DSC relevant characteristics and metrics that can potentially affect the scalability goals of a system.