2016 - IEEE Fellow For contributions to software tools for high performance, parallel, and distributed computing
2010 - ACM Fellow For contributions to software engineering tools and techniques for high performance and distributed supercomputers.
His scientific interests lie mostly in Distributed computing, Scheduling, Grid computing, Nimrod and Resource management. His study in Distributed computing is interdisciplinary in nature, drawing from both Software architecture, The Internet, Dynamic priority scheduling and Dataflow. David Abramson interconnects Transportation theory, Project management, Reliability and Operations research in the investigation of issues within Scheduling.
The concepts of his Grid computing study are interwoven with issues in Virtual Laboratory, Semantic grid, Specification language and Usability. His Semantic grid research focuses on Utility computing and how it relates to Shared resource. His Resource management research is multidisciplinary, incorporating elements of Testbed and Resource allocation.
David Abramson focuses on Distributed computing, Grid computing, Debugging, Workflow and Nimrod. David Abramson has researched Distributed computing in several fields, including Supercomputer, Software, Application software, Testbed and Scheduling. His work carried out in the field of Grid computing brings together such families of science as Middleware, Semantic grid and Resource management.
David Abramson regularly links together related areas like Resource allocation in his Resource management studies. His studies deal with areas such as Data structure and Porting as well as Debugging. He merges Nimrod with Computational science in his study.
His primary scientific interests are in Supercomputer, Workflow, Debugging, Parallel computing and Distributed computing. In the subject of general Workflow, his work in Workflow engine, Workflow management system and Workflow technology is often linked to Science and engineering, thereby combining diverse domains of study. His Workflow engine research incorporates themes from Python, Resource allocation, Scheduling, Computational steering and Server.
His biological study spans a wide range of topics, including Data structure and Porting. His Parallel computing study combines topics from a wide range of disciplines, such as Software and Numerical analysis. His Distributed computing study frequently links to adjacent areas such as Cloud computing.
His primary areas of investigation include Workflow, Supercomputer, Parallel computing, Data science and Computational science. His Workflow research includes themes of e-Science and Distributed computing. His work often combines Distributed computing and Nimrod studies.
He interconnects Software and Efficient energy use in the investigation of issues within Supercomputer. His work deals with themes such as Debugging, Algorithmic program debugging and Porting, which intersect with Parallel computing. He has researched Computational science in several fields, including Rainforest, Event, Great barrier reef and Big data.
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Nimrod/G: an architecture for a resource management and scheduling system in a global computational grid
R. Buyya;D. Abramson;J. Giddy.
ieee international conference on high performance computing data and analytics (2000)
Economic models for resource management and scheduling in Grid computing
Rajkumar Buyya;David A Abramson;Jonathon Giddy;Heinz Stockinger.
Concurrency and Computation: Practice and Experience (2002)
High performance parametric modeling with Nimrod/G: killer application for the global grid?
D. Abramson;J. Giddy;L. Kotler.
international parallel and distributed processing symposium (2000)
The Grid Economy
R. Buyya;D. Abramson;S. Venugopal.
Proceedings of the IEEE (2005)
A computational economy for grid computing and its implementation in the Nimrod-G resource broker
David Abramson;Rajkumar Buyya;Jonathan Giddy.
grid computing (2002)
Scheduling Aircraft Landings--The Static Case
J. E. Beasley;M. Krishnamoorthy;Y. M. Sharaiha;D. Abramson.
Transportation Science (2000)
Nimrod/G: An Architecture of a Resource Management and Scheduling System in a Global Computational Grid
Rajkumar Buyya;David Abramson;Jon Giddy.
arXiv: Distributed, Parallel, and Cluster Computing (2000)
Constructing school timetables using simulated annealing: sequential and parallel algorithms
Management Science (1991)
A case for economy grid architecture for service oriented grid computing
R. Buyya;D. Abramson;J. Giddy.
international parallel and distributed processing symposium (2001)
Nimrod: a tool for performing parametrised simulations using distributed workstations
D. Abramson;R. Sosic;J. Giddy;B. Hall.
high performance distributed computing (1995)
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