DARE: A Distributed Adaptation and Failure Recovery Framework for Software Systems
Autor: | Daniel A. Menascé, Hassan Gomaa, Jason Porter, Emad Albassam |
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Rok vydání: | 2017 |
Předmět: |
Random access memory
Computer science Distributed computing 020207 software engineering 02 engineering and technology Experimental validation Dynamic software Autonomic computing 020204 information systems 0202 electrical engineering electronic engineering information engineering Peer to peer computing Software system Architecture Adaptation (computer science) |
Zdroj: | ICAC |
Popis: | This paper describes DARE, an architecture-based, decentralized framework that provides both self-configuration and self-healing properties to large and highly dynamic software systems. The design of DARE is based on the autonomic computing MAPE-K loop model and integrates architecture discovery mechanisms with recovery and adaptation connectors. This paper describes the design and detailed experimental validation of the DARE framework which show DARE's decentralized capability of dynamically adapting and recovering components. |
Databáze: | OpenAIRE |
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