Model-driven self-management of legacy applications

Authors:
Markus Debusmann;Markus Schmid;Reinhold Kroeger
Affiliations:
Department of Computer Science, Distributed Systems Lab, Fachhochschule Wiesbaden – University of Applied Sciences, Wiesbaden, Germany;Department of Computer Science, Distributed Systems Lab, Fachhochschule Wiesbaden – University of Applied Sciences, Wiesbaden, Germany;Department of Computer Science, Distributed Systems Lab, Fachhochschule Wiesbaden – University of Applied Sciences, Wiesbaden, Germany
Venue:
DAIS'05 Proceedings of the 5th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
Year:
2005

Citing 5
Cited 1

Managing Business and Service Networks

Managing Business and Service Networks
The WSLA Framework: Specifying and Monitoring Service Level Agreements for Web Services

Journal of Network and Systems Management
The Vision of Autonomic Computing

Computer
Widening Traditional Management Platforms for Managing CORBA Applications

Proceedings of the IFIP TC6 / WG6.1 Third International Working Conference on New Developments in Distributed Applications and Interoperable Systems
Unified Service Level Monitoring using CIM

EDOC '03 Proceedings of the 7th International Conference on Enterprise Distributed Object Computing

Decentralised QoS-management in service oriented architectures

DAIS'08 Proceedings of the 8th IFIP WG 6.1 international conference on Distributed applications and interoperable systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Increasing complexity of todays applications and services leads to the emerging trend of self-managing systems. Legacy applications often offer interfaces for manual management and very rarely do provideself-management features. Therefore it is very important to reuse existing management interfaces for achieving self-manageability. This paper presents our model-driven self-management approach of legacy applications. We introduce a framework for model-driven service level management which transforms abstract SLAs defined in UML into concrete SLA descriptions and deploys them for management. These SLAsare used to define the goals for our self-management agent which is responsible for providing feedback control. Its management knowledge is transformed from UML models using also a model-driven approach.