By L. Jean Camp (auth.), Juan González Nieto, Wolfgang Reif, Guojun Wang, Jadwiga Indulska (eds.)
This e-book constitutes the refereed procedings of the sixth foreign convention on Autonomic and relied on Computing, ATC 2009, held in Brisbane, Australia, in July 2009, co-located with UIC 2009, the sixth foreign convention on Ubiquitous Intelligence and Computing.
The 17 revised complete papers offered including one invited paper and one keynote speak have been conscientiously reviewed and chosen from fifty two submissions. The usual papers are geared up in topical sections on natural and autonomic computing, relied on computing, instant sensor networks, and trust.
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Additional info for Autonomic and Trusted Computing: 6th International Conference, ATC 2009 Brisbane, Australia, July 7-9, 2009 Proceedings
These extensions are evaluated in a case study of a typical vehicle infotainment system based on the MOST (Media Oriented Systems Transport) technology. The implementation and evaluation show that the newly introduced techniques work well in a realistic scenario. 1 1 Introduction Nowadays certain software-driven embedded systems have reached an enormous degree of complexity and penetrate everyday life. The growing percentage of functionalities lead to more and more unmanageable systems. Additionally, the distribution of such systems cause an even greater challenge to address.
Furthermore, the long-term life-cycle of a vehicle enables the up-and-coming ﬁeld of after-market products which comprises of the integration of consumer devices, new devices or software services, to name just a few. Those trends pose a great challenge to the OEM - historically being car builders not software engineers. To bear the challenge of upcoming complexity within the IT-architecture new paradigms have to be explored. Within the last years the ﬁeld of self-organization has proven to be a promising solution for the management of systems which are unmanageable with traditional methods.
E. it’s role allocation) such that the constraints are valid again. This very generic approach is called Restore-Invariant-Approach (RIA). The Restore-Invariant-Approach distinguishes productive states in which the system performs its normal operations and reconﬁguration states where a new role allocation is acquired and established. e. e. it can be productive again). This intuitive notion of a RIA is suﬃcient to understand the remainder of this paper. For a more formal deﬁnition of the principles of RIA, please refer to  and .