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Applying genetic self-architecting for distributed systems
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Abstract: Current trends in information technology emphasize the need of flexible systems that are able to adapt to their changing environment.
(PDF) Applying Genetic Architectural Synthesis in Software ...
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The SAGA (Self-Architecting using Genetic Algorithms) infrastructure has been developed to enable self-adaptive and manual run-time maintenance in Java-based ...
Applying Genetic Self-Architecting for Distributed Systems
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Applying Genetic Self-Architecting for Distributed Systems ; Piscataway, NJ · Institute of Electrical and Electronics Engineers IEEE · 44-52 · 978-1-4673-4767-9.
Hadaytullah
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To apply genetic synthesis for self-maintenance, a proof of concept infrastructure, named SAGA (Self-Architecting using Genetic Algorithms), has been developed.
Applying genetic architectural synthesis in software ... - Trepo
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The SAGA (Self-Architecting using Genetic Algorithms) ... SAGA allows Java-based distributed systems to self-maintain reliability and efficiency.
Generating architecture models using genetic algorithms
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由 K Koskimies 著作 — ... Applying Genetic Self-Architecting for. Distributed Systems. In Proc. 4th World Congress on Nature and Biologically Inspired Computing. (NaBIC'12), IEEE ...
Tool Support for Software Architecture Design with Genetic ...
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Automated support for software architecture design is discussed, based on a tool applying genetic algorithms for producing potential architecture proposals ...
Applying Genetic Algorithms in Software Architecture ...
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由 O Räihä 著作2008被引用 25 次 — This thesis experiments with a novel approach to applying genetic algorithms in software architecture design by giving the structure of an architecture at a ...
Techniques for Genetic Software Architecture Design
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Hadaytullah Vathsavayi , Gregersen A. and Koskimies K. (2012) Applying Genetic Self-Architecting for Distributed Systems. Proc. 4th World Congress on Nature and ...
Decoupling architectures for distributed systems
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2022年11月5日 — A decoupled approach to architecture and design might be preferable when integrating with distributed cloud platforms.