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CCGRID
2009
IEEE
14 years 2 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
WETICE
2003
IEEE
14 years 22 days ago
Coordination in Pervasive Computing Environments
Computer science and engineering nowadays appears to be challenged (and driven) by technological progress and quantitative growth. Among the technological progress challenges are ...
Alois Ferscha
ESCIENCE
2006
IEEE
13 years 11 months ago
Designing Workflow Components for e-Science
In this paper we present a general domain for the analysis of workflows and workflow components based on the notion of a collection of Turing machines sharing a set of tapes. We s...
Frank Terpstra, Pieter W. Adriaans
ESCIENCE
2006
IEEE
14 years 1 months ago
Practical Fault-Tolerant Framework for eScience Infrastructure
Many areas of science currently use computing resources as a important part of their research, and many research groups adopt cluster architecture to use them efficiently and mana...
Hyuck Han, Jai Wug Kim, Jongpil Lee, Youngjin Yu, ...
ESCIENCE
2006
IEEE
14 years 1 months ago
An Extended Extremal Optimisation Model for Parallel Architectures
: A relatively new meta-heuristic, known as extremal optimisation (EO), is based on the evolutionary science notion that poorly performing genes of an individual are replaced by ra...
Marcus Randall, Andrew Lewis