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

http://www.buyya.com/

Biography

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=118, g-index=255, 72,200+ 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 40 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: www.buyya.com

Recent publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. Goudarzi, M.; Palaniswami, M.; Buyya, R. A fog-driven dynamic resource allocation technique in ultra dense femtocell networks. Journal of Network and Computer Applications. Elsevier BV. 2019, Vol. 145, pp. 102407-102407. DOI: 10.1016/j.jnca.2019.102407
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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.
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. Rodriguez, MA.; Buyya, R. Container-based cluster orchestration systems: A taxonomy and future directions. Software: Practice and Experience. WILEY. 2019, Vol. 49, Issue 5, pp. 698-719. DOI: 10.1002/spe.2660
  17. Mansouri, Y.; Toosi, AN.; Buyya, R. Cost Optimization for Dynamic Replication and Migration of Data in Cloud Data Centers. IEEE Transactions on Cloud Computing. Institute of Electrical and Electronics Engineers (IEEE). 2019, Vol. 7, Issue 3, pp. 705-718. DOI: 10.1109/tcc.2017.2659728
  18. Mansouri, Y.; Buyya, R. Dynamic replication and migration of data objects with hot-spot and cold-spot statuses across storage data centers. Journal of Parallel and Distributed Computing. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2019, Vol. 126, pp. 121-133. DOI: 10.1016/j.jpdc.2018.12.003
  19. Sotiriadis, S.; Bessis, N.; Amza, C.; Buyya, R. Elastic Load Balancing for Dynamic Virtual Machine Reconfiguration Based on Vertical and Horizontal Scaling. IEEE Transactions on Services Computing. IEEE COMPUTER SOC. 2019, Vol. 12, Issue 2, pp. 319-334. DOI: 10.1109/TSC.2016.2634024
  20. Toosi, AN.; Son, J.; Chi, Q.; Buyya, R. ElasticSFC: Auto-scaling techniques for elastic service function chaining in network functions virtualization-based clouds. Journal of Systems and Software. ELSEVIER SCIENCE INC. 2019, Vol. 152, pp. 108-119. DOI: 10.1016/j.jss.2019.02.052

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