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Rajkumar Buyya
Also published under:R. Buyya, Rajkummar Buyya, Rakumar Buyya
Affiliation
Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Australia
Topic
Edge Computing,Cloud Computing,Service Quality,Energy Consumption,Virtual Machines,Deep Learning,Internet Of Things,Computational Resources,Directed Acyclic Graph,Resource Management,Response Time,Scheduling Algorithm,CPU Utilization,Cloud Environment,Deep Reinforcement Learning,Fog Computing,Load Balancing,Long Short-term Memory,Proximal Policy Optimization,Resource Utilization,Task Scheduling,Autoregressive Integrated Moving Average,CPU Usage,Computational Environment,Data Center,Edge Server,Network Topology,Optimization Problem,Resource Allocation,Resource Usage,Average Response Time,Cloud Providers,Completion Time,Deep Q-network,Deep Reinforcement Learning Agent,Energy Cost,Fog Nodes,Internet Of Things Applications,Internet Of Things Devices,Job Completion Time,Makespan,Markov Decision Process,Microservices,Optimal Policy,Physical Machines,Provision Of Resources,Recurrent Neural Network,Renewable Energy,Renewable Sources,Resource Contention,
Biography
Rajkumar Buyya is a professor of computer science and software engineering, at the University of Melbourne, Australia. His research interests include cloud, grid, distributed, and parallel computing. Buyya has a PhD in computer science from Monash University. Contact him at [email protected].