Professor Rajkumar Buyya

  • Room: Level: 07 Room: 7.22
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Future of computing
  • Large-scale software engineering (Cloud Data Centers)
  • Market-oriented resource allocation and application scheduling
  • Parallel and distributed computing: especially high performance computing on networked systems (e-Science, e-Research, IT Applications)
  • Service level agreements based data centres management
  • Service-oriented architecture for scientific and business applications (Internet Computing)
  • Software Defined Systems and Fog Computing
  • To advance the state-of-the-art in Internet-based Distributed Computing Systems (Cloud Computing, Grid Computing, Distributed Systems, High Performance Computing, Operating Systems, Distributed Computing, Utility Computing)

Personal webpage


Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He has authored over 625 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. He also edited several books including "Cloud Computing: Principles and Paradigms" (Wiley Press, USA, Feb 2011). He is one of the highly cited authors in computer science and software engineering worldwide (h-index=130, g-index=280, 89,700+ citations). Microsoft Academic Search Index ranked Dr. Buyya as #1 author in the world (2005-2016) for both field rating and citations evaluations in the area of Distributed and Parallel Computing. "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing. Dr. Buyya is recognized as a "2016 Web of Science Highly Cited Researcher" by Thomson Reuters, a Fellow of IEEE, and Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier for his outstanding contributions to Cloud computing.

Software technologies for Grid and Cloud computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 50+ countries around the world. Dr. Buyya has led the establishment and development of key community activities,
including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of "2009 IEEE Medal for Excellence in Scalable Computing" from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received "2010 Frost & Sullivan New Product Innovation Award". Recently, Dr. Buyya
received "Mahatma Gandhi Award" along with Gold Medals for his outstanding and extraordinary achievements in Information Technology field and services rendered to promote greater friendship and India-International cooperation. He served as the founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Co-Editor-in-Chief of Journal of Software: Practice and Experience, which was established over 45 years ago. For further information on Dr.Buyya, please visit his cyberhome:

Recent publications

  1. Heidari, S.; Buyya, R. A Cost-efficient Auto-scaling Algorithm for Large-scale Graph Processing in Cloud Environments with Heterogeneous Resources. IEEE Transactions on Software Engineering. Institute of Electrical and Electronics Engineers. 2020, pp. 1-1. DOI: 10.1109/TSE.2019.2934849
  2. Domanal, SG.; Guddeti, RMR.; Buyya, R. A Hybrid Bio-Inspired Algorithm for Scheduling and Resource Management in Cloud Environment. IEEE Transactions on Services Computing. Institute of Electrical and Electronics Engineers (IEEE). 2020, Vol. 13, Issue 1, pp. 3-15. DOI: 10.1109/tsc.2017.2679738
  3. Liu, C.; Li, K.; Li, K.; Buyya, R. A New Cloud Service Mechanism for Profit Optimizations of a Cloud Provider and Its Users. IEEE Transactions on Cloud Computing. IEEE. 2020, pp. 1-1. DOI: 10.1109/TCC.2017.2701793
  4. Mishra, M.; Roy, SK.; Mukherjee, A.; De, D.; Ghosh, SK.; Buyya, R. An energy-aware multi-sensor geo-fog paradigm for mission critical applications. Journal of Ambient Intelligence and Humanized Computing. Springer (part of Springer Nature). 2020. DOI: 10.1007/s12652-019-01481-1
  5. Wu, C.; Buyya, R.; Ramamohanarao, K. Cloud pricing models: Taxonomy, survey, and interdisciplinary challenges. ACM Computing Surveys (CSUR). Association for Computing Machinery. 2020, Vol. 52, Issue 6, pp. 1-36. DOI: 10.1145/3342103
  6. Islam, MT.; Srirama, SN.; Karunasekera, S.; Buyya, R. Cost-efficient dynamic scheduling of big data applications in apache spark on cloud. Journal of Systems and Software. Elsevier BV. 2020, Vol. 162, pp. 110515-110515. DOI: 10.1016/j.jss.2019.110515
  7. Tuli, S.; Basumatary, N.; Gill, SS.; Kahani, M.; Arya, RC.; Wander, GS.; Buyya, R. HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments. Future Generation Computer Systems. ELSEVIER. 2020, Vol. 104, pp. 187-200. DOI: 10.1016/j.future.2019.10.043
  8. Wu, C.; Nadjaran Toosi, A.; Buyya, R.; Ramamohanarao, K. Hedonic Pricing of Cloud Computing Services. IEEE Transactions on Cloud Computing. Institute of Electrical and Electronics Engineers. 2020, pp. 1-1. DOI: 10.1109/TCC.2018.2858266
  9. Xu, M.; Buyya, R. Managing renewable energy and carbon footprint in multi-cloud computing environments. Journal of Parallel and Distributed Computing. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2020, Vol. 135, pp. 191-202. DOI: 10.1016/j.jpdc.2019.09.015
  10. Wu, C.; Buyya, R.; Ramamohanarao, K. Modeling cloud business customers’ utility functions. Future Generation Computer Systems. Elsevier BV. 2020, Vol. 105, pp. 737-753. DOI: 10.1016/j.future.2019.12.044
  11. Mahmud, R.; Srirama, SN.; Ramamohanarao, K.; Buyya, R. Profit-aware application placement for integrated Fog-Cloud computing environments. Journal of Parallel and Distributed Computing. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2020, Vol. 135, pp. 177-190. DOI: 10.1016/j.jpdc.2019.10.001
  12. Saharan, S.; Somani, G.; Gupta, G.; Verma, R.; Gaur, MS.; Buyya, R. QuickDedup: Efficient VM deduplication in cloud computing environments. Journal of Parallel and Distributed Computing. Elsevier BV. 2020, Vol. 139, pp. 18-31. DOI: 10.1016/j.jpdc.2020.01.002
  13. Tuli, S.; Sandhu, R.; Buyya, R. Shared data-aware dynamic resource provisioning and task scheduling for data intensive applications on hybrid clouds using Aneka. Future Generation Computer Systems. Elsevier BV. 2020, Vol. 106, pp. 595-606. DOI: 10.1016/j.future.2020.01.038
  14. Das, J.; Mukherjee, A.; Ghosh, SK.; Buyya, R. Spatio-Fog: A green and timeliness-oriented fog computing model for geospatial query resolution. Simulation Modelling Practice and Theory. Elsevier BV. 2020, Vol. 100, pp. 102043-102043. DOI: 10.1016/j.simpat.2019.102043
  15. Rai, GN.; Gangadharan, GR.; Padmanabhan, V.; Buyya, R. Web Service Interaction Modeling and Verification Using Recursive Composition Algebra. IEEE Transactions on Services Computing. Institute of Electrical and Electronics Engineers. 2020, pp. 1-1. DOI: 10.1109/TSC.2018.2789454
  16. Mukherjee, A.; De, D.; Buyya, R. (ER)-R-2-(FN)-N-2: Energy-efficient retailing using a femtolet-based fog network. Software: Practice and Experience. WILEY. 2019, Vol. 49, Issue 3, pp. 498-523. DOI: 10.1002/spe.2673
  17. Dipu Kabir, HM.; Sabyasachi, AS.; Khosravi, A.; Hosen, MA.; Nahavandi, S.; Buyya, R. A cloud bidding framework for deadline constrained jobs. 2019 IEEE International Conference on Industrial Technology (ICIT). IEEE. 2019, Vol. 2019-February, pp. 765-772. DOI: 10.1109/ICIT.2019.8755137
  18. Roy, DS.; Behera, RK.; Reddy, KHK.; Buyya, R. A Context-Aware Fog Enabled Scheme for Real-Time Cross-Vertical IoT Applications. IEEE Internet of Things Journal. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2019, Vol. 6, Issue 2, pp. 2400-2412. DOI: 10.1109/JIOT.2018.2869323
  19. Goudarzi, M.; Palaniswami, M.; Buyya, R. A fog-driven dynamic resource allocation technique in ultra dense femtocell networks. Journal of Network and Computer Applications. Academic Press. 2019, Vol. 145. DOI: 10.1016/j.jnca.2019.102407
  20. Das, J.; Dasgupta, A.; Ghosh, SK.; Buyya, R. A learning technique for VM allocation to resolve geospatial queries. Recent Findings in Intelligent Computing Techniques. Proceedings of the 5th ICACNI 2017, Volume 1. Springer. 2019, Vol. 707, pp. 577-584. DOI: 10.1007/978-981-10-8639-7_61

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile