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@InProceedings{2014/Dwivedi/Mutlifidelity,
AUTHOR = {Dwivedi, Vishal and Garlan, David and Pfeffer, J\"{u}rgen and Schmerl, Bradley},
TITLE = {Model-based Assistance for Making Time/Fidelity Trade-offs in Component Compositions},
YEAR = {2014},
MONTH = {7-9 April},
BOOKTITLE = {11th International Conference on Information Technology : New Generations (ITNG 2014), Special track on: MDCBSE: Model-Driven, Component-Based Software Engineering},
ADDRESS = {Las Vegas, NV},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/ITNGpaper.pdf},
ABSTRACT = {In many scientific fields, simulations and analyses
require compositions of computational entities such as web services,
programs, and applications. In such fields, users may
want various trade-offs between different qualities. Examples
include: (i) performing a quick approximation vs. an accurate, but
slower, experiment, (ii) using local slower execution environments
vs. remote, but advanced, computing facilities, (iii) using quicker
approximation algorithms vs. computationally expensive algorithms
with smaller data. However, such trade-offs are difficult
to make as many such decisions today are either (a) wired into
a fixed configuration and cannot be changed, or (b) require
detailed systems knowledge and experimentation to determine
what configuration to use. In this paper we propose an approach
that uses architectural models coupled with automated design
space generation for making fidelity and timeliness trade-offs. We
illustrate this approach through an example in the intelligence
analysis domain.},
KEYWORDS = {Acme, End-user Architecture, Model Checking, Mult-fidelity Applications, Resource Aware Computing}
}
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