How to realize software system reconfiguration?
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Software system reconfiguration can be realized through various approaches. One approach is to use variability models to represent the set of valid configurations of a system . This approach uses feature models to automatically generate a runtime variability model, which monitors and controls the application behavior by intercepting reconfiguration requests . Another approach is to develop dynamically reconfigurable software architectures (DRSAs) that can modify their internal structure and behavior at runtime in response to changes in the operating environment . Additionally, a SpaceWire-based network can be implemented for centralized control of onboard software upgrades and maintenance, allowing for easy and flexible software reconfiguration on-orbit . Furthermore, algorithms can be designed to support fault tolerance, dynamic load balancing, and distributed monitoring in multi-processor systems, providing techniques for transparent software reconfiguration based on process migration .
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14 Jun 2022 | The paper discusses algorithms for transparent software reconfiguration based on process migration in the context of quadtree embeddings in Hypercubes. |
09 Dec 2022 | The paper proposes the use of a SpaceWire-based network for centralized control of onboard software upgrades and maintenance, allowing for easy and flexible software reconfiguration on-orbit. |
09 Dec 2022 | The paper proposes the use of a SpaceWire-based network and a common software maintenance controller to realize software system reconfiguration on-board spacecraft. |
20 Mar 2019 1 Citations | The paper discusses the concept of dynamically reconfigurable software and proposes a design solution for developing dynamically reconfigurable software architectures (DRSAs). It provides an analysis of the state of the art in software architecture reconfiguration. However, it does not specifically mention how to realize software system reconfiguration. |
01 Mar 2022 | The paper proposes an approach that uses variability models and feature models to automatically generate a JavaBIP run-time variability model for monitoring and controlling the application behavior during reconfiguration. |
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