Conference Paper

Distributed Software Maintenance Using an Autonomic System Management Approach based on the Viable System Model.

DOI: 10.1109/ICAS.2006.22 In proceeding of: 2006 International Conference on Autonomic and Autonomous Systems (ICAS 2006), 16-21 July 2006, Silicon Valley, California, USA
Source: DBLP

ABSTRACT Most current softwae management solutions are missing a systematic and holistic approach for global system management, and apply only to specijic system components. This limits the system k extensibility, and does not meet interoperability requirements jbm the growing heterogeneity of the operating environment. This paper discusses an alternative approach to common management of evolving distributed software, impired by the research in the field of open systems and cybernetic models. The approach involves adapting Stanford Beer's Yiable System Model (KSly, to fhe concrete needs of distributed sofiware, supporting evolutionary integration of new functionality, while preserving system stability. We introduce meta-data bindings to existing information models as a basis for management of hierarchical and recursive sofiware elements, and an architecture for composition of interacting components with verijication of their capabilities during deployment and runtime. The architecture is designed to satis& criteria of the Eable System Model and to assure conditions necessary for autonomic behavior.

  • [Show abstract] [Hide abstract]
    ABSTRACT: Presented is research articulating a novel technology progressing resource management within self-organizing systems. Examining both Cybernetic and Autonomic Computing techniques we evolve a set-theory oriented, atomically-derived, emergent model that reflects an algorithmic decomposition of Beer's recursive, multi-agent Viable System Model, pertinent by its composition of multiple and independent entities, sharing one or more objectives. Integrated management promotes each sub-system as a whole within a closed ecological meta-boundary. The relationships between sub-systems is demonstrated via syntax subscripts, while the relationship linking recursive levels is recognized via superscripts. The resultant design grammar endorses autonomy versus governance, exploiting cybernetic, biological and mathematical metaphors, crucially seeking inherent learning and control through system-environment interplay. Focusing on interactions and inter-relationships, the self-organizing environments exhibit evolution of systemic elements, conserving yet managing resources provided by each entity. Research ultimately aspires augm entation of the Autonomic Computing state of the art into the original field of Viable Computing Systems.
    MEDES '09: International ACM Conference on Management of Emergent Digital EcoSystems, Lyon, France, October 27-30, 2009; 01/2009
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a case study considering algorithmic hot swapping in the context of research surpassing Autonomic Computing, towards Viable Computing Systems. Cybernetic, mathematical and biological metaphors are allied to the human autonomic agent capability of the managerial cybernetics underscoring Beer's Viable System Model (VSM). A dual-perspective set theory design grammar model is employed exhibiting relationships between the systems and the recursive levels of the VSM. By incorporating the environment as part of the system, the technique promotes both portability and viability within an initially closed, yet changing, environment. Algorithmic hot swapping has been used to provide a repertoire of tailored responses to environmental change within this context. Systemic emergence and viability is thereby promoted, whilst an associated Learning Classifier System (LCS) is suggested to allow the system to develop an adaptive environmental model of appropriate, optimized responses, similarly demonstrating proof of the temporal and autonomic properties of the VCS concept.
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents an open-bounded case study of our Viable Computer System (VCS), the design grammar model innovating a hybrid VCS architectural representation of Beer's cybernetic Viable System Model (VSM). When applied to a previous genetically-modified system scenario, System One represents a metaphor for homeostasis. The set-theoretical framework defines research specifics, i.e. systems and their environments via algorithmic hot-swapping. Further functions and a set of disturbances are introduced, supplying a potential repertoire of tailored responses to open environmental change. Fundamental to promoting emergence, thus viability is Sommerhoff's concept of directive correlation and Ashby's notion of goal-directedness, i.e. the ability to achieve a goal-state under variations in the environment. Example identities exhibit potential for context-free portability including sets of values of environmental and behavioral variables and a set of outcomes allowing the system to develop an adaptive environmental model of fit responses illustrating temporal and autonomic properties of the VCS concept.
    Cybernetic Intelligent Systems (CIS), 2010 IEEE 9th International Conference on; 10/2010


1 Download
Available from