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Published Articles >> Table of Contents >> Abstract
10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'02)
p. 0203
eModel: Addressing the Need for a Flexible Modeling Framework in Autonomic Computing
C. H. Crawford
A. Dan
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MASCOT.2002.1167078
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| Abstract |
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This paper describes a novel, flexible framework,
eModel, designed to address the runtime requirements
of autonomic computing: on-line workload measurement,
analysis, and prediction. The eModel architecture has been
developed using platform independent technology (XML
and Java) to allow for maximum portability while also allowing
for ease-of-integration with existing measurement
and system management tools. The eModel toolkit consists
of a GUI based model builder tool, a data base deployment
tool, a runtime tool, and an analysis tool. In addition to
the toolkit, the eModel design provides a runtime architecture
which can be deployed directly without using any interaction
with the GUI. The architecture is flexible enough to
allow for incorporation with models of various complexity,
including modeling techniques that require a hierarchical
approach to attain reasonable accuracy based upon on-line,
measured data. We present examples that illustrate eModel
as a capacity planning tool as well as an augmentation to
autonomic system management in an effort to highlight the
technological gaps that the eModel framework is capable of
bridging.
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 Additional Information
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Citation:
C. H. Crawford, A. Dan,
"eModel: Addressing the Need for a Flexible Modeling Framework in Autonomic Computing,"
mascots,
p. 0203,
10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'02),
2002
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