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Taming heterogeneity - the Ptolemy approach

Eker, J., Janneck, J.W., Lee, E.A., Jie Liu, Xiaojun Liu, Ludvig, J., Neuendorffer, S., Sachs, S., Yuhong Xiong·2003·Proceedings of the IEEE

Abstract

Modern embedded computing systems tend to be heterogeneous in the sense of being composed of subsystems with very different characteristics, which communicate and interact in a variety of ways-synchronous or asynchronous, buffered or unbuffered, etc. Obviously, when designing such systems, a modeling language needs to reflect this heterogeneity. Today's modeling environments usually offer a variant of what we call amorphous heterogeneity to address this problem. This paper argues that modeling systems in this manner leads to unexpected and hard-to-analyze interactions between the communication mechanisms and proposes a more structured approach to heterogeneity, called hierarchical heterogeneity, to solve this problem. It proposes a model structure and semantic framework that support this form of heterogeneity, and discusses the issues arising from heterogeneous component interaction and the desire for component reuse. It introduces the notion of domain polymorphism as a way to address these issues.

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Metadata

Authors
Eker, J., Janneck, J. W., Lee, E. A., Liu, J., Liu, X., Ludvig, J., Neuendorffer, S., Sachs, S., & Xiong, Y.
Venue
Proceedings of the IEEE
Published
2003-01
Volume
91
Issue
1
Pages
127-144
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2169180789
Cited by
1,074
References
0
FWCI
42.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Taming heterogeneity - the Ptolemy approach. https://app.cochat.ai/papers/10.1109/jproc.2002.805829
The paper
Eker, J., Janneck, J. W., Lee, E. A., Liu, J., Liu, X., Ludvig, J., Neuendorffer, S., Sachs, S., & Xiong, Y. (2003). Taming heterogeneity - the Ptolemy approach. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2002.805829

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.