The Coign automatic distributed partitioning system
OSDI '99 Proceedings of the third symposium on Operating systems design and implementation
Architecture-based runtime software evolution
Proceedings of the 20th international conference on Software engineering
Software Architecture-Based Adaptation for Grid Computing
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Constrained Component Deployment in Wide-Area Networks Using AI Planning Techniques
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Support for Disconnected Operation via Architectural Self-Reconfiguration
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Adaptable architectural middleware for programming-in-the-small-and-many
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
A Flexible and Extensible Architecture for Device-Level Service Deployment
ServiceWave '08 Proceedings of the 1st European Conference on Towards a Service-Based Internet
Prism-WM based connector interaction for middleware systems
ICESS'04 Proceedings of the First international conference on Embedded Software and Systems
Systematic guidance in solving performance and scalability problems
Proceedings of the 18th international doctoral symposium on Components and architecture
| Hi-index | 0.00 |
A distributed software system's deployment architecture can have a significant impact on the system's properties, which depend on various system parameters, such as network bandwidth, frequencies of software component interactions, and so on. Recent studies have shown that the quality of deployment architectures can be improved significantly via active system monitoring, efficient estimation of the improved deployment architecture, and system redeployment. However, the lack of a common framework for improving a system's deployment architecture has resulted in ad hoc solutions. In this paper, we present an extensible framework that guides the design and development of solutions to this problem, enables the extension and reuse of the solutions, and facilitates autonomic analysis and redeployment of a system's deployment architecture.