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SIMKOSI - simulation of complex service infrastructure

Innovative idea

People responsible for the IT-sector nowadays have to face the situation that an increasingly more complex growing systems environment (intern and outsourced) needs to be operated in a safe and accessible manner but with low budgets. This development is furthermore accompanied by the growing legal and regulatory requirements on the compliance of a company and on the other hand also the personal liability of responsible and employed people is increasingly moving into the spotlight.

Possible approaches to solution as e.g. ITIL® (IT Infrastructure Library) or CobiT® (Control objectives for information and related technology) have managed to provide support in the past few years by means of new methods and a process-oriented administration in order to cope with the environments. Still, the information and telecommunication technology (ITC)-infrastructures administered in this particular way are mostly characterized by their reactive operations, since the basic tools usually lack the quality of developing an “understanding” for the ITC-infrastructure to be administered [1].

A simulation for CMDB systems (Configuration Management Database) is to be developed which enables the user to define and carry out “what-if” and outage scenarios on the basis of their database or to do the same with the development of loads and consolidation analytics respectively. The simulation serves as proactive assistance system for strategic IT-planning and operation and thus provides a new quality with respect to the control and administration of ITC-environments.

Aim and development

The project SIMKOSI deals with the development of a simulation model, which, being supplied with data by a CMDB system, represents relations, dependencies and structures of the underlying ITC-infrastructures and makes them usable for simulation processes based on them. In a further step, a prototypical simulator is being developed, which is based on a methodology designed in advance and will make specific simulation experiments with regard to analysis, diagnosis and planning possible.

This project is being funded by