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. Xu, M.; Buyya, R. Managing renewable energy and carbon footprint in multi-cloud computing environments. Journal of Parallel and Distributed Computing. Elsevier BV. 2020, Vol. 135, pp. 191-202. DOI: 10.1016/j.jpdc.2019.09.015
  2. 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
  3. 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
  4. 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
  5. 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 (IEEE). 2019, pp. 1-1. DOI: 10.1109/TSE.2019.2934849
  6. 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
  7. Das, J.; Dasgupta, A.; Ghosh, SK.; Buyya, R. A learning technique for VM allocation to resolve geospatial queries. . Springer. 2019, Vol. 707, pp. 577-584. DOI: 10.1007/978-981-10-8639-7_61
  8. Buyya, R.; Srirama, SN.; Casale, G.; Calheiros, R.; Simmhan, Y.; Varghese, B.; Gelenbe, E.; Javadi, B.; Vaquero, LM.; Netto, MAS.; Toosi, AN.; Rodriguez, MA.; Llorente, IM.; Di Vimercati, SDC.; Samarati, P.; Milojicic, D.; Varela, C.; Bahsoon, R.; De Assuncao, MD.; Rana, O.; Zhou, W.; Jin, H.; Gentzsch, W.; Zomaya, AY.; Shen, H. A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. ACM Computing Surveys. ASSOC COMPUTING MACHINERY. 2019, Vol. 51, Issue 5. DOI: 10.1145/3241737
  9. Jha, DN.; Garg, S.; Jayaraman, PP.; Buyya, R.; Li, Z.; Morgan, G.; Ranjan, R. A study on the evaluation of HPC microservices in containerized environment. Concurrency and Computation: Practice and Experience. Wiley. 2019, pp. e5323-e5323. DOI: 10.1002/cpe.5323
  10. Gill, SS.; Buyya, R. A Taxonomy and Future Directions for Sustainable Cloud Computing: 360 Degree View. ACM Computing Surveys. ASSOC COMPUTING MACHINERY. 2019, Vol. 51, Issue 5. DOI: 10.1145/3241038
  11. Eitiveni, I.; Kurnia, S.; Buyya, R. A Traceability System for Sustainability Transformation in the Food supply Chain: an Affordance Theory Perspective. 27th European Conference on Information Systems - Information Systems for a Sharing Society, ECIS 2019, Stockholm and Uppsala, Sweden, June 8-14, 2019. Association for Information Systems. 2019.
  12. Li, W.; Cao, J.; Hu, K.; Xu, J.; Buyya, R. A Trust-Based Agent Learning Model for Service Composition in Mobile Cloud Computing Environments. IEEE Access. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2019, Vol. 7, pp. 34207-34226. DOI: 10.1109/ACCESS.2019.2904081
  13. Moghaddam, SK.; Buyya, R.; Ramamohanarao, K. ACAS: An anomaly-based cause aware auto-scaling framework for clouds. Journal of Parallel and Distributed Computing. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2019, Vol. 126, pp. 107-120. DOI: 10.1016/j.jpdc.2018.12.002
  14. Zhou, B.; Srirama, SN.; Buyya, R. An auction-based incentive mechanism for heterogeneous mobile clouds. Journal of Systems and Software. ELSEVIER SCIENCE INC. 2019, Vol. 152, pp. 151-164. DOI: 10.1016/j.jss.2019.03.003
  15. 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 Science and Business Media LLC. 2019. DOI: 10.1007/s12652-019-01481-1
  16. Xu, M.; Buyya, R. Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems: A Taxonomy and Future Directions. ACM Computing Surveys. ASSOC COMPUTING MACHINERY. 2019, Vol. 52, Issue 1. DOI: 10.1145/3234151
  17. Xu, M.; Buyya, R. BrownoutCon: A software system based on brownout and containers for energy-efficient cloud computing. Journal of Systems and Software. Elsevier Inc.. 2019, Vol. 155, pp. 91-103. DOI: 10.1016/j.jss.2019.05.031
  18. Wu, C.; Buyya, R.; Ramamohanarao, K. Cloud computing market segmentation. Proceedings of the 13th International Conference on Software Technologies (ICSOFT 2018). SciTe Press. 2019, pp. 888-897.
  19. Wu, C.; Buyya, R.; Ramamohanarao, K. Cloud pricing models: Taxonomy, survey, and interdisciplinary challenges. ACM Computing Surveys. Association for Computing Machinery (ACM). 2019, Vol. 52, Issue 6, pp. 1-36. DOI: 10.1145/3342103
  20. Son, J.; He, TZ.; Buyya, R. CloudSimSDN-NFV: Modeling and simulation of network function virtualization and service function chaining in edge computing environments. Software: Practice and Experience. Wiley. 2019, Vol. 49, Issue 12, pp. 1748-1764. DOI: 10.1002/spe.2755

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