Workflow, Coordination, and Autonomy

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As well as biological systems also computational systems process evolution generates improvement and progress towards increasing degrees of autonomy. Usually, arising complexity is related to this aspect and has to be managed. Complex systems are distributed, pervasive, intelligent, non-deterministic and self-organised. These characteristics have to be carefully and deeply handled to improve technology. Speaking of which, it was developed a very interesting approach that aims to understand, capture and bring natural system features to computational systems: nature-inspired Computing (NIC). Basically, it allows to define nature-inspired model for coordination and Self-organised Systems (SOS). Obviously, it’s mandatory to know and understand natural systems structures, interactions, behaviours and processes in such a way to effectively apply biological system fundamentals to computational systems . The way bio- logical systems integrate all regulatory and molecular processes is called Systems Biology. It has an analytical approach and allows to understand individual bi- ological processes. Process is a set of rationally linked tasks through which an organization generates value to reach its targets. A way of looking processes is the workflow (wf): units of work within a process generating products/services related to customer satisfaction. On one hand, workflow management helps organization to specify, analyze, execute and monitor the workflow. On the other hand WF management technology is a set of steps (actions), sequencing (order of actions), routing (who does the action) and conditions (rules for doing actions, routing actions) defined by a flowchart generator. These elements are no more than parts of a natural system and they have to be integrated to set up a system.