Resource Function Capture for Performance Aspects of Software Components and Sub-Systems
Performance Engineering, State of the Art and Current Trends
QoS analysis for component-based embedded software: Model and methodology
Journal of Systems and Software
A performance analysis method for autonomic computing systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Performance analysis and prediction of physically mobile systems
WOSP '07 Proceedings of the 6th international workshop on Software and performance
Achieving Self-Management via Utility Functions
IEEE Internet Computing
A generic model for quantifiable software deployment
ICSEA '07 Proceedings of the International Conference on Software Engineering Advances
Enhanced Modeling and Solution of Layered Queueing Networks
IEEE Transactions on Software Engineering
MUSIC: Middleware Support for Self-Adaptation in Ubiquitous and Service-Oriented Environments
Software Engineering for Self-Adaptive Systems
Model-Driven Assessment of QoS-Aware Self-Adaptation
Software Engineering for Self-Adaptive Systems
Task-based adaptation for ubiquitous computing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
| Hi-index | 0.00 |
A performance property prediction (PPP) method for component-based self-adaptive applications is presented. Such performance properties are required by an adaptation middleware for reasoning about adaptation activities. Our PPP method is based on the Structure and Performance (SP) framework, a conceptually simple, yet powerful performance modelling framework based on matrices. The main contribution of this paper are the integration of SP-based PPP into a comprehensive model- and variability-based adaptation framework for context-aware mobile applications. A meta model for the SP method is described. The framework is demonstrated using a practical example.