Generative programming: methods, tools, and applications
Generative programming: methods, tools, and applications
Component Software: Beyond Object-Oriented Programming
Component Software: Beyond Object-Oriented Programming
An Architecture and a Process for Implementing Distributed Collaborations
EDOC '02 Proceedings of the 6th International Enterprise Distributed Object Computing Conference
Analysing Dynamic Change in Software Architectures: A Case Study
CDS '98 Proceedings of the International Conference on Configurable Distributed Systems
A survey of peer-to-peer content distribution technologies
ACM Computing Surveys (CSUR)
Software—Practice & Experience
Runtime software adaptation: framework, approaches, and styles
Companion of the 30th international conference on Software engineering
Reliable dynamic reconfigurations in the fractal component model
Proceedings of the 6th international workshop on Adaptive and reflective middleware: held at the ACM/IFIP/USENIX International Middleware Conference
Software Engineering for Self-Adaptive Systems
An architecture for next generation middleware
Middleware '98 Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing
A multi-stage approach for reliable dynamic reconfigurations of component-based systems
DAIS'08 Proceedings of the 8th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
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In component-based software engineering, reconfiguration often refers to the activity of changing a running software system at the component level. Reconfiguration is widely used for evolving and adapting software systems that can not be shut down for update. However, in distributed systems, supporting reconfiguration is a challenging task since a reconfiguration consists of distributed reconfiguration actions that need to be coordinated. Particularly, this task becomes much more challenging in the context of unstable networks where nodes may disconnect frequently, even during reconfiguration. To address this challenge, we propose a platform supporting distributed reconfiguration that embodies a solution for managing system states at reconfiguration time. We define (1) different system states regarding reconfiguration and (2) ways that the system will act accordingly. When a disconnection is detected during a reconfiguration, the system may correct reconfiguration plans to continue the reconfiguration if possible, or recover if the reconfiguration fails.