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CCGRID
2009
IEEE
15 years 11 months ago
Self-Tuning Virtual Machines for Predictable eScience
— Unpredictable access to batch-mode HPC resources is a significant problem for emerging dynamic data-driven applications. Although efforts such as reservation or queue-time pred...
Sang-Min Park, Marty Humphrey
181
Voted
GRID
2003
Springer
15 years 10 months ago
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Sivaramakrishnan Narayanan, Ümit V. Ça...
ICA3PP
2005
Springer
15 years 10 months ago
A Deadline and Budget Constrained Scheduling Algorithm for eScience Applications on Data Grids
In this paper, we present an algorithm for scheduling of distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring ...
Srikumar Venugopal, Rajkumar Buyya
131
Voted
EUROPAR
2004
Springer
15 years 10 months ago
Agreement-Based Interactions for Experimental Science
Enabling quality of service (QoS) in the Grids requires not only resource management strategies but also the development of protocols enabling structured negotiation for the use of...
Katarzyna Keahey, Takuya Araki, Peter Lane
ICPR
2000
IEEE
15 years 9 months ago
Is Pattern Recognition a Physical Science?
This paper deals with the roles of assumption, mathematical models, and experimental control in Pattern Recognition. In order to base the discussion on actual examples, three stud...
Jean Serra