Download e-book for iPad: Modelling Autonomic Communications Environments: Third IEEE by Karl-André Skevik, Matti Siekkinen, Vera Goebel, Thomas

By Karl-André Skevik, Matti Siekkinen, Vera Goebel, Thomas Plagemann (auth.), Sven van der Meer, Mark Burgess, Spyros Denazis (eds.)

ISBN-10: 3540873546

ISBN-13: 9783540873549

ISBN-10: 3540873554

ISBN-13: 9783540873556

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Read Online or Download Modelling Autonomic Communications Environments: Third IEEE International Workshop, MACE 2008, Samos Island, Greece, September 22-26, 2008. Proceedings PDF

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Additional info for Modelling Autonomic Communications Environments: Third IEEE International Workshop, MACE 2008, Samos Island, Greece, September 22-26, 2008. Proceedings

Example text

Plans consist of a structured aggregation of tasks connected with standard Business Process Modeling Notation (BPMN) flow logic [8]. The tasks are Goal-Oriented Autonomic Process Modeling 41 contained within a plan body, which has a context condition describing when that body can be executed. We developed a specific extension to the widely used BPMN visual modeling language, called GO-BPMN, or Goal Oriented BPMN [3]. The language introduces new model elements for goals, plans, relationships between them, and context variables for process-wide state preservation.

The latter of these two functions is responsible for initiating real-time adaptation of a process instance by using event triggers and, if desired, logic reasoning over system behaviour. This brings about both process flexibility and resilience. The system may include software, hardware, human and physical resources including the constraints and policies defining their use. Two of the possible effects of this adaptation are dynamic goal decomposition and dynamic optimization. A process controller can self-optimise a process by assessing whether a goal hierarchy can be partially fragmented into sub-goals to parallelize execution or achieve partial results.

4 Algorithm The architecture at present is composed of several individual pieces. The interaction of the pieces is encapsulated in and coordinated by the evaluateCurrentStrategy algorithm that is described in this section. It is intended that this algorithm will be called by the underlying management system each time the MTU is incremented. For the data center management scenario, the GPM would call this algorithm at the completion of each periodic review. The algorithm evaluateCurrentStrategy, is presented in Fig.

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Modelling Autonomic Communications Environments: Third IEEE International Workshop, MACE 2008, Samos Island, Greece, September 22-26, 2008. Proceedings by Karl-André Skevik, Matti Siekkinen, Vera Goebel, Thomas Plagemann (auth.), Sven van der Meer, Mark Burgess, Spyros Denazis (eds.)


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