2023 - Research.com Computer Science in Australia Leader Award
2022 - Research.com Best Scientist Award
2022 - Research.com Computer Science in Australia Leader Award
2015 - IEEE Fellow For contributions to cloud computing
2008 - ACM Senior Member
His scientific interests lie mostly in Distributed computing, Cloud computing, Scheduling, Grid computing and Utility computing. His Distributed computing research is multidisciplinary, incorporating elements of Scalability, Resource allocation, The Internet, Dynamic priority scheduling and Fair-share scheduling. His Cloud computing research integrates issues from Data center, Quality of service, Provisioning and Virtual machine.
His Scheduling study integrates concerns from other disciplines, such as Testbed, Distributed algorithm, Workflow and Economy. His Grid computing research incorporates elements of Workflow management system, Economic model, Semantic grid and Database. His study looks at the intersection of Utility computing and topics like Virtualization with Workload.
His primary areas of investigation include Cloud computing, Distributed computing, Scheduling, Grid computing and Quality of service. He is involved in the study of Cloud computing that focuses on Utility computing in particular. In his research on the topic of Distributed computing, Fair-share scheduling is strongly related with Dynamic priority scheduling.
In most of his Quality of service studies, his work intersects topics such as The Internet. His research in Virtual machine intersects with topics in Workload, Virtualization and Server. The various areas that he examines in his Energy consumption study include Data center and Efficient energy use.
Rajkumar Buyya focuses on Cloud computing, Distributed computing, Quality of service, Energy consumption and Scheduling. His Cloud computing research is multidisciplinary, incorporating elements of Virtual machine, Scalability, Resource, Provisioning and Efficient energy use. His research integrates issues of Software, Edge computing, Data center and Server in his study of Distributed computing.
Information system is closely connected to The Internet in his research, which is encompassed under the umbrella topic of Quality of service. The concepts of his Energy consumption study are interwoven with issues in Workload, Heuristics, Enhanced Data Rates for GSM Evolution and CloudSim. His Scheduling research is mostly focused on the topic Dynamic priority scheduling.
Cloud computing, Distributed computing, Quality of service, Energy consumption and Virtual machine are his primary areas of study. His Cloud computing research integrates issues from Scheduling, Computer network, Provisioning and The Internet. The Distributed computing study combines topics in areas such as Workload, Scalability, Resource and Efficient energy use.
His work in the fields of Service-level agreement overlaps with other areas such as Composition and Function. His Energy consumption study incorporates themes from Data center, CloudSim, Router and Server. His biological study spans a wide range of topics, including Pricing strategies, Process and Green computing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Internet of Things (IoT): A vision, architectural elements, and future directions
Jayavardhana Gubbi;Rajkumar Buyya;Slaven Marusic;Marimuthu Palaniswami.
Future Generation Computer Systems (2013)
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
Rajkumar Buyya;Chee Shin Yeo;Srikumar Venugopal;James Broberg.
Future Generation Computer Systems (2009)
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
Rodrigo N. Calheiros;Rajiv Ranjan;Anton Beloglazov;César A. F. De Rose.
Software - Practice and Experience (2011)
Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
R. Buyya;Chee Shin Yeo;S. Venugopal.
high performance computing and communications (2008)
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
Anton Beloglazov;Jemal Abawajy;Rajkumar Buyya.
Future Generation Computer Systems (2012)
GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing
Rajkumar Buyya;M. Manzur Murshed.
Concurrency and Computation: Practice and Experience (2002)
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
Anton Beloglazov;Rajkumar Buyya.
Concurrency and Computation: Practice and Experience (2012)
Cloud Computing: Principles and Paradigms
Rajkumar Buyya;James Broberg;Andrzej M. Goscinski.
High Performance Cluster Computing: Architectures and Systems
A taxonomy and survey of grid resource management systems for distributed computing
Klaus Krauter;Rajkumar Buyya;Muthucumaru Maheswaran.
Software - Practice and Experience (2002)
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