Knowledge-based architectural adaptation management for self-adaptive systems

John C. Georgas

doi:10.1145/1062455.1062592

Knowledge-based architectural adaptation management for self-adaptive systems

John C. Georgas

Informatics, Computing, and Cyber Systems, School of

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

Self-adaptive systems continually evaluate and modify their own behavior to meet changing demands. An important element in the construction of architecture-based self-adaptive software is the specification of adaptation policy: this extended abstract presents an overview of work towards basing such specification on architecture-centric knowledge-based policies. This approach leverages techniques from the artificial intelligence field to explicitly represent adaptation policy at the architectural level, providing for strong decoupling between policy specification and architectural compositions, and supports dynamic runtime policy evolution promoting reuse potential and runtime flexibility.

Original language	English (US)
Pages	658
Number of pages	1
DOIs	https://doi.org/10.1145/1062455.1062592
State	Published - 2005
Event	27th International Conference on Software Engineering, ICSE05 - St. Louis, MO, United States Duration: May 15 2005 → May 21 2005

Conference

Conference	27th International Conference on Software Engineering, ICSE05
Country/Territory	United States
City	St. Louis, MO
Period	5/15/05 → 5/21/05

Keywords

Architectural adaptation management
Self-adaptive software

ASJC Scopus subject areas

General Engineering

Access to Document

10.1145/1062455.1062592

Cite this

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AB - Self-adaptive systems continually evaluate and modify their own behavior to meet changing demands. An important element in the construction of architecture-based self-adaptive software is the specification of adaptation policy: this extended abstract presents an overview of work towards basing such specification on architecture-centric knowledge-based policies. This approach leverages techniques from the artificial intelligence field to explicitly represent adaptation policy at the architectural level, providing for strong decoupling between policy specification and architectural compositions, and supports dynamic runtime policy evolution promoting reuse potential and runtime flexibility.

KW - Architectural adaptation management

KW - Self-adaptive software

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Knowledge-based architectural adaptation management for self-adaptive systems

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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