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Computer Science
Australia
2026

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Best Scientists

D-Index
166
Citations
145213
World Ranking
992
National Ranking
27

Computer Science

D-Index
171
Citations
149528
World Ranking
15
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Australia Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2015 - IEEE Fellow For contributions to cloud computing
  • 2008 - ACM Senior Member

Overview

Rajkumar Buyya is affiliated with the University of Melbourne in Australia. Their research primarily focuses on computer science with significant contributions to multiple subfields, including computer networks and communications, information systems, artificial intelligence, electrical and electronic engineering, and computer vision and pattern recognition.

The main topics of Buyya's work include:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Blockchain Technology Applications and Security
  • Software System Performance and Reliability
  • Caching and Content Delivery
  • Software-Defined Networks and 5G

Frequent coauthors associated with Buyya consist of:

  • Maria A. Rodriguez
  • Sukhpal Singh Gill
  • Dawei Sun
  • Minxian Xu
  • Shashikant Ilager

Buyya has published extensively in several scientific venues, with the most frequent publication venues being:

  • arXiv (Cornell University)
  • Software Practice and Experience
  • Future Generation Computer Systems
  • IEEE Transactions on Services Computing
  • IEEE Internet of Things Journal

Among the recent academic papers authored or co-authored by Buyya are:

  • "Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots" (2023), published in Internet of Things and Cyber-Physical Systems
  • "An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments" (2020), published in IEEE Transactions on Mobile Computing
  • "Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks" (2020), published in IEEE Transactions on Mobile Computing
  • "iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments" (2022), published in Journal of Systems and Software
  • "Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions" (2020), published on arXiv (Cornell University)

Buyya's contributions also extend to multiple book publications across various publishers, including Springer Nature, Springer Science+Business Media, Springer International Publishing, and Auerbach Publications eBooks. Some of the titles include:

  • "Intelligent and Cloud Computing" (2020, 2022)
  • "Progress in Advanced Computing and Intelligent Engineering" (2020)
  • "Artificial Intelligence-based Internet of Things Systems" (2022)
  • "New Frontiers in Cloud Computing and Internet of Things" (2022)
  • "Advanced Computing, Machine Learning, Robotics and Internet Technologies" (2024)
  • "Cloud Computing in Medical Imaging" (2023)

Awards received by Buyya include:

  • IEEE Fellow (2015) for contributions to cloud computing
  • ACM Senior Member (2008)

Best Publications

  • Internet of Things (IoT): A vision, architectural elements, and future directions

    Jayavardhana Gubbi;Rajkumar Buyya;Slaven Marusic;Marimuthu Palaniswami

  • 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

  • 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

  • Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

    Anton Beloglazov;Jemal Abawajy;Rajkumar Buyya

  • Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

    R. Buyya;Chee Shin Yeo;S. Venugopal

  • GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing

    Rajkumar Buyya;M. Manzur Murshed

  • 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

  • iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

    Harshit Gupta;Harshit Gupta;Amir Vahid Dastjerdi;Soumya K. Ghosh;Rajkumar Buyya

  • Cloud Computing: Principles and Paradigms

    Rajkumar Buyya;James Broberg;Andrzej M. Goscinski

  • Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities

    Rajkumar Buyya;Rajiv Ranjan;Rodrigo N. Calheiros

  • InterCloud: utility-oriented federation of cloud computing environments for scaling of application services

    Rajkumar Buyya;Rajiv Ranjan;Rodrigo N. Calheiros

  • High Performance Cluster Computing: Architectures and Systems

    Rajkumar Buyya

  • A taxonomy and survey of grid resource management systems for distributed computing

    Klaus Krauter;Rajkumar Buyya;Muthucumaru Maheswaran

  • Nimrod/G: an architecture for a resource management and scheduling system in a global computational grid

    R. Buyya;D. Abramson;J. Giddy

  • Economic models for resource management and scheduling in Grid computing

    Rajkumar Buyya;David A Abramson;Jonathon Giddy;Heinz Stockinger

  • High Performance Cluster Computing

    Rajkumar Buyya

  • Fog Computing: Helping the Internet of Things Realize Its Potential

    Amir Vahid Dastjerdi;Rajkumar Buyya

  • A Taxonomy of Workflow Management Systems for Grid Computing

    Jia Yu;Rajkumar Buyya

  • A framework for ranking of cloud computing services

    Saurabh Kumar Garg;Steve Versteeg;Rajkumar Buyya

  • A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments

    Suraj Pandey;Linlin Wu;Siddeswara Mayura Guru;Rajkumar Buyya

Frequent Co-Authors

Rodrigo N. Calheiros
Rodrigo N. Calheiros Western Sydney University
Srikumar Venugopal
Srikumar Venugopal IBM Research - Ireland
Rajiv Ranjan
Rajiv Ranjan Newcastle University
Saurabh Kumar Garg
Saurabh Kumar Garg University of Tasmania
Adel Nadjaran Toosi
Adel Nadjaran Toosi University of Melbourne
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Hai Jin
Hai Jin Huazhong University of Science and Technology
David Abramson
David Abramson University of Queensland
Sukhpal Singh Gill
Sukhpal Singh Gill Queen Mary University of London
S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University

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