Dr Rajkumar Buyya, Assistant Professor University of Melbourne.
Brief CV:
Dr. Rajkumar Buyya is Director of the Grid Computing and Distributed
Systems (GRIDS) Laboratory within the Department of Computer Science
and Software Engineering at the University of Melbourne, Australia.
He received B.E and M.E in Computer Science and Engineering from
Mysore and Bangalore Universities in 1992 and 1995 respectively; and
Doctor of Philosophy (PhD) in Computer Science and Software
Engineering from Monash University, Melbourne, Australia in April
2002. He was awarded Dharma Ratnakara Memorial Trust Gold Medal in
1992 for his academic excellence during his studies in Mysore
University. Dr. Buyya is one of the creators of system software
for PARAM Supercomputers developed by the Centre for Development
of Advanced Computing (C-DAC), India. He has pioneered Economic
Paradigm for Service-Oriented Grid computing and demonstrated
its utility through his contribution to conceptualisation, design
and development of Grid technologies such as Nimrod-G, GridSim,
and Gridbus.
Dr. Buyya has authored three books Microprocessor x86 Programming, BPB Press, New Delhi, 1995, Mastering C++, Tata McGraw Hill Press, New Delhi, 1997, and Design of PARAS Microkernel. The books on emerging topics that he edited include, High Performance Cluster Computing published by Prentice Hall, USA, 1999; and High Performance Mass Storage and Parallel I/O, IEEE and Wiley Press, USA, 2001. He also edited proceedings of six international conferences and served as guest editor for major research journals. He has contributed to the development of system software for PARAM supercomputers produced by the Centre for Development of Advanced Computing (C-DAC), Bangalore, India. Dr. Buyya is a speaker in the IEEE Computer Society Chapter Tutorials Program and Co-founder/Chair of the IEEE Computer Society Task Force on Cluster Computing (TFCC). He also serves on Executive Committee of the IEEE Computer Society Technical Committee on Parallel Processing (TCPP). He has organised and chaired IEEE/ACM international conferences in the area of Cluster and Grid Computing.
Brief summary of expertise and significant research achievements:
Dr Buyya has undertaken research in the design and development of parallel
and distributed computing systems for nearly a decade. He has
published over 70 research papers in peer-reviewed international
conferences and journals. From 1999 to 2001, he have carried out
intensive research in Grid computing with focus on distributed
computational economy for Grid resource management and scheduling.
Dr Buyya was one of the co-authors of the DSTC (Australian CRC for
Distributed Systems Technology) funded Nimrod-G Grid resource broker.
Nimrod-G is being deployed on emerging production scale Grid
networks such as the GrangeNet, which is expected to be used by the
scientific and engineering community across the nation. His PhD
thesis has laid a foundation for the Grid economy and service-oriented
computing and opened up several avenues for future work in
economic-based Grid resource management and scheduling. The tools
and technologies developed as part of his thesis have gained rapid
acceptance and they (e.g., GridSim toolkit) are in use at several
academic institutions and commercial enterprises all over the
world including California Institute of Technology, Carnegie Melon
University, CERN, National University of Singapore, Sun Microsystems,
IBM, Unisys, British Telecom, and HP.
Dr Buyya collaborated with application scientists from CSIRO/WEHI in Melbourne and worked with them to create a virtual laboratory environment for distributed analysis of their protein docking application. The software is currently being used by them in their regular molecular screening experiments. He also collaborated with researchers from Osaka University in Japan to enable distributed analysis of Brain activity data captured using the MEG instrument. The collaboration continues to conduct R&D in the development of next generation systems that enables them to conduct large-scale scientific experiments on Grids. Dr Byuua is also collaborating with researchers from experimental particle physicists Melbourne to enable distributed analysis of HEP (high energy physics) application. At the University of Melbourne, Hefounded the Grid Computing and Distributed Systems (GRIDS) Laboratory and currently leading research and development programs in this area. The successfull supervision a number of postgraduate students has led to the development of important components of Grid computing.
International linkages:
- Led the creation of world-largest Grid by assembling
computing resources contributed by academic and commercial
institutions around the world (Australia, Asia, Europe, North America,
and South America) and demonstrated 5 key data-intensive Grid
applications in scientific and business domains.
- Active Collaboration with:
- Osaka University
- Sun Microsystem (www.sun.com)
- Singapore Computer Systems (SCS) - www.scs.com.sg
Students and postdocs likely to be involved in or use
the Network:
PhD Students:
* Srikumar Venugopal
* Anthony
* Jia Yu
* C S Yeo
* Rajiv Ranjan
RAs:
* Ding Hoong
Website:
homepage: http://www.buyya.com
gridbus project - www.gridbus.org
Relevant grants:
· M. Sevior and R. Buyya, "The Development of Data Grids for High
Energy Physics", Discovery Project, Australian Research Council
(ARC), Australia, 2004-2006. Amount: A$510,000.
· R. Buyya and A. Harwood, "Economic Scheduling for Efficient
Management of Clusters and their Cooperative Federation", Discovery
Project, Australian Research Council (ARC), Australia, 2004-2006.
Amount: A$150,000.
Relevant publications:
· Klaus Krauter, Rajkumar Buyya, and Muthucumaru Maheswaran,
A Taxonomy and Survey of Grid Resource Management Systems for
Distributed Computing, Software: Practice and Experience (SPE)
Journal, ISSN: 0038-0644, Volume 32, Issue 2, 2002, Wiley Press,
USA, February 2002.
· Rajkumar Buyya, David Abramson, Jonathan Giddy, and
Heinz Stockinger, Economic Models for Resource Management and
Scheduling in Grid Computing, Special Issue on Grid Computing
Environments, The Journal of Concurrency and Computation:
Practice and Experience (CCPE), Wiley Press, USA, May 2002.
· Madhu Chetty and Rajkumar Buyya, Weaving Electrical and
Computational Grids: How Analogous Are They?, Computing in
Science and Engineering (CiSE), The IEEE Computer Society and
the American Institute of Physics, USA, May/June 2002.
· David Abramson, Rajkumar Buyya, and Jonathan Giddy,
A Computational Economy for Grid Computing and its Implementation
in the Nimrod-G Resource Broker, Future Generation Computer
Systems (FGCS) Journal, Volume 18, Issue 8, pp. 1061-1074,
Elsevier Science, The Netherlands, October 2002.
· Mark Baker, Rajkumar Buyya, and Domenico Laforenza,
Grids and Grid Technologies for Wide-Area Distributed Computing,
International Journal of Software: Practice and Experience
(SPE), Volume 32, Issue 15, Wiley Press, USA, Nov. 2002.
· Rajkumar Buyya and Manzur Murshed, GridSim: A Toolkit
for the Modeling and Simulation of Distributed Resource
Management and Scheduling for Grid Computing, The Journal of
Concurrency and Computation: Practice and Experience (CCPE),
Volume 14, Issue 13-15, Wiley Press, Nov.-Dec., 2002.
· Rajkumar Buyya, David Abramson, Jonathan Giddy, and
Heinz Stockinger, Economic Models for Resource Management
and Scheduling in Grid Computing, Special Issue on Grid Computing
Environments, The Journal of Concurrency and Computation:
Practice and Experience (CCPE), Volume 14, Issue 13-15, Wiley Press,
Nov.-Dec., 2002.
· Rajkumar Buyya, Kim Branson, Jon Giddy, and David
Abramson, The Virtual Laboratory: Enabling Molecular Modeling
for Drug Design on the World Wide Grid, The Journal of Concurrency
and Computation: Practice and Experience (CCPE), Volume 15, Issue 1,
Wiley Press, Jan. 2003.
