Titlebook: Component-Based Software Engineering; 8th International Sy George T. Heineman,Ivica Crnkovic,Kurt Wallnau Conference proceedings 2005 Sprin

HAIL

Efficient Upgrading in a Purely Functional Component Deployment Modelient deployment of upgrades in the purely functional model, transparently to users. Sequences of patches can be combined automatically to enable upgrading between arbitrary versions. The approach was empirically validated.

META

A Component-Oriented Model for the Design of Safe Multi-threaded Applicationsd then subjected this design to three extension tasks. The study corroborates that our model enables a fine-grain component-based design of multi-threaded applications of realistic complexity, while guaranteeing freedom from certain synchronization errors.

冷淡一切

infinite

Ludwig Fahrmeir,Rita Künstler,Gerhard Tutzilizing existing real-time analysis to ensure a feasible allocation. We demonstrate that CPU-overhead and memory consumption can be reduced by as much as 48% and 32% respectively for industrially representative systems.

中國紀(jì)念碑

Mehrdimensionale Zufallsvariablen,nd extracts parameters for constructing a closed Product Form Queueing Network model that is solved using the SHARPE software package. Our approach predicts the throughput and the average response time of the system under varying workloads and also identifies bottlenecks in the system, suggesting possibilities for their removal.

異教徒

Ludwig Fahrmeir,Rita Künstler,Gerhard Tutzonent-based QoS architecture well-suited for open systems, called Qinna. Qinna is defined using Fractal components and takes into consideration the main QoS concepts (specification, provision and management). An analysis and an experiment illustrate answers brought by Qinna to open system issues.

Obsequious

Panther

墊子

萬神殿

Optimizing Resource Usage in Component-Based Real-Time Systemsilizing existing real-time analysis to ensure a feasible allocation. We demonstrate that CPU-overhead and memory consumption can be reduced by as much as 48% and 32% respectively for industrially representative systems.