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. Das, J.; Dasgupta, A.; Ghosh, SK.; Buyya, R. A learning technique for VM allocation to resolve geospatial queries. . 2019, Vol. 707, pp. 577-584. DOI: 10.1007/978-981-10-8639-7_61
  2. 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
  3. Moghaddam, SK.; Buyya, R.; Ramamohanarao, K. ACAS: An anomaly-based cause aware auto-scaling framework for clouds. Journal of Parallel and Distributed Computing. 2019, Vol. 126, pp. 107-120. DOI: 10.1016/j.jpdc.2018.12.002
  4. 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. 2019, Vol. 52, Issue 1. DOI: 10.1145/3234151
  5. 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. 2019, Vol. 126, pp. 121-133. DOI: 10.1016/j.jpdc.2018.12.003
  6. Mukherjee, A.; De, D.; Buyya, R. E<sup>2</sup>R-F<sup>2</sup>N: Energy-efficient retailing using a femtolet-based fog network. Software - Practice and Experience. 2019, Vol. 49, Issue 3, pp. 498-523. DOI: 10.1002/spe.2673
  7. Jatoth, C.; Gangadharan, GR.; Buyya, R. Optimal Fitness Aware Cloud Service Composition using an Adaptive Genotypes Evolution based Genetic Algorithm. Future Generation Computer Systems. 2019, Vol. 94, pp. 185-198. DOI: 10.1016/j.future.2018.11.022
  8. Gavvala, SK.; Jatoth, C.; Gangadharan, GR.; Buyya, R. QoS-aware cloud service composition using eagle strategy. Future Generation Computer Systems. ELSEVIER SCIENCE BV. 2019, Vol. 90, pp. 273-290. DOI: 10.1016/j.future.2018.07.062
  9. Gill, SS.; Chana, I.; Singh, M.; Buyya, R. RADAR: Self-configuring and self-healing in resource management for enhancing quality of cloud services. Concurrency Computation. WILEY. 2019, Vol. 31, Issue 1. DOI: 10.1002/cpe.4834
  10. Shojafar, M.; Pooranian, Z.; Sookhak, M.; Buyya, R. Recent advances in cloud data centers toward fog data centers. Concurrency Computation. 2019. DOI: 10.1002/cpe.5164
  11. Son, J.; Buyya, R. SDCon: Integrated Control Platform for Software-Defined Clouds. IEEE Transactions on Parallel and Distributed Systems. IEEE COMPUTER SOC. 2019, Vol. 30, Issue 1, pp. 230-244. DOI: 10.1109/TPDS.2018.2855119
  12. Li, W.; Cao, J.; Wu, J.; Huang, C.; Buyya, R. A collaborative filtering recommendation method based on discrete quantum-inspired shuffled frog leaping algorithms in social networks. Future Generation Computer Systems. ELSEVIER SCIENCE BV. 2018, Vol. 88, pp. 262-270. DOI: 10.1016/j.future.2018.05.070
  13. 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. 2018. DOI: 10.1109/JIOT.2018.2869323
  14. Liu, L.; Fan, Q.; Buyya, R. A Deadline-Constrained Multi-Objective Task Scheduling Algorithm in Mobile Cloud Environments. IEEE Access. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2018, Vol. 6, pp. 52982-52996. DOI: 10.1109/ACCESS.2018.2870915
  15. Liu, B.; Buyya, R.; Nadjaran Toosi, A. A fuzzy-based auto-scaler for web applications in cloud computing environments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature. 2018, Vol. 11236 LNCS, pp. 797-811. DOI: 10.1007/978-3-030-03596-9_57
  16. Jha, DN.; Garg, S.; Jayaraman, PP.; Buyya, R.; Li, Z.; Ranjan, R. A holistic evaluation of docker containers for interfering microservices. Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services. IEEE. 2018, pp. 33-40. DOI: 10.1109/SCC.2018.00012
  17. Liu, L.; Gu, S.; Fu, D.; Zhang, M.; Buyya, R. A new multi-objective evolutionary algorithm for inter-cloud service composition. KSII Transactions on Internet and Information Systems. 2018, Vol. 12, Issue 1, pp. 1-20. DOI: 10.3837/tiis.2018.01.001
  18. Son, J.; Buyya, R. A Taxonomy of Software-Defined Networking (SDN)-Enabled Cloud Computing. ACM Computing Surveys. ASSOC COMPUTING MACHINERY. 2018, Vol. 51, Issue 3. DOI: 10.1145/3190617
  19. Zhang, M.; Li, H.; Liu, L.; Buyya, R. An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in Clouds. Distributed and Parallel Databases. SPRINGER. 2018, Vol. 36, Issue 2, pp. 339-368. DOI: 10.1007/s10619-017-7215-z
  20. Sotiriadis, S.; Bessis, N.; Anjum, A.; Buyya, R. An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation. IEEE Transactions on Services Computing. IEEE COMPUTER SOC. 2018, Vol. 11, Issue 1, pp. 5-19. DOI: 10.1109/TSC.2015.2399312

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