Author: Karban, R.
Paper Title Page
WEPKS032 A UML Profile for Code Generation of Component Based Distributed Systems 867
  • G. Chiozzi, L. Andolfato, R. Karban
    ESO, Garching bei Muenchen, Germany
  • A. Tejeda
    UCM, Antofagasta, Chile
  A consistent and unambiguous implementation of code generation (model to text transformation) from UML must rely on a well defined UML profile, customizing UML for a particular application domain. Such a profile must have a solid foundation in a formally correct ontology, formalizing the concepts and their relations in the specific domain, in order to avoid a maze or set of wildly created stereotypes. The paper describes a generic profile for the code generation of component based distributed systems for control applications, the process to distill the ontology and define the profile, and the strategy followed to implement the code generator. The main steps that take place iteratively include: defining the terms and relations with an ontology, mapping the ontology to the appropriate UML metaclasses, testing the profile by creating modelling examples, and generating the code.  
poster icon Poster WEPKS032 [1.925 MB]  
FRBHMULT04 Towards a State Based Control Architecture for Large Telescopes: Laying a Foundation at the VLT 1330
  • R. Karban, N. Kornweibel
    ESO, Garching bei Muenchen, Germany
  • D.L. Dvorak, M.D. Ingham, D.A. Wagner
    JPL, Pasadena, California, USA
  Large telescopes are characterized by a high level of distribution of control-related tasks and will feature diverse data flow patterns and large ranges of sampling frequencies; there will often be no single, fixed server-client relationship between the control tasks. The architecture is also challenged by the task of integrating heterogeneous subsystems which will be delivered by multiple different contractors. Due to the high number of distributed components, the control system needs to effectively detect errors and faults, impede their propagation, and accurately mitigate them in the shortest time possible, enabling the service to be restored. The presented Data-Driven Architecture is based on a decentralized approach with an end-to-end integration of disparate independently-developed software components, using a high-performance standards-based communication middle-ware infrastructure, based on the Data Distribution Service. A set of rules and principles, based on JPL's State Analysis method and architecture, are established to avoid undisciplined component-to-component interactions, where the Control System and System Under Control are clearly separated. State Analysis provides a model-based process for capturing system and software requirements and design, helping reduce the gap between the requirements on software specified by systems engineers and the implementation by software engineers. The method and architecture has been field tested at the Very Large Telescope, where it has been integrated into an operational system with minimal downtime.  
slides icon Slides FRBHMULT04 [3.504 MB]