Read e-book online Autonomic and Trusted Computing: 8th International PDF

By Jose M. Alcaraz Calero, Laurence T. Yang, Felix Gomez-Marmol, Luis Javier García Villalba, Andy Xiaolin Li, Yan Wang

ISBN-10: 364223495X

ISBN-13: 9783642234958

This e-book constitutes the refereed court cases of the eighth foreign convention on Autonomic and relied on Computing, ATC 2011, held in Banff, Canada, September 2011.
The 17 revised complete papers offered including 1 keynote speech have been rigorously reviewed and chosen from a variety of submissions. The papers handle all present matters in autonomic architectures, versions and structures, autonomic communications, depended on and safe computing, trustworthy, safe and belief applications.

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Read or Download Autonomic and Trusted Computing: 8th International Conference, ATC 2011, Banff, Canada, September 2-4, 2011. Proceedings PDF

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Additional info for Autonomic and Trusted Computing: 8th International Conference, ATC 2011, Banff, Canada, September 2-4, 2011. Proceedings

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19–30, 2011. Springer-Verlag Berlin Heidelberg 2011 20 J. Schmitt et al. Natural reflexes happen without thinking about the problem or planning the solution. Evolving this technique on computing systems leads to artificial reflexes. The system can therefore react faster to a problem. To show how this approach can be applied we illustrate it on our OCñ middleware [17]. OCñ features an Organic Manager that runs on each node of a distributed system. Within the Organic Manager we use an Automated Planner to implement self-configuration, self-optimization and self-healing [19].

This involves first performing a self-test on component B (Figure 2d), and then component A. The stereotype <> in Figure 2 indicates the partial disablement of caller components for the purpose of runtime safety. 3 State-Based Model for SAV Recall that Safe Adaptation with Validation (SAV) tests adaptive changes to autonomic software in-place, during the adaptation process [10]. The strategy is based on the idea of safe adaptation [24], which ensures that the adaptation process does not violate dependencies between components, nor interrupt critical communication channels.

If the keywords of the compared states match exactly r = 0 . Otherwise there are some possibilities to choose r, depending on the used strategy: – r = 0 if an extra keyword in S or C is insignificant – r = ∞ if an extra keyword leads to a completely different state – r = k∈(S\C∪C\S) α One extra keyword increases the difference by a fixed value α > 0 To compare the metrics and show the influence of r we will use an example. Let’s assume the following vectors are possible: vlocalNode = (workload, number relocatable services) vnetwork = (average workload, workload change ) vService = (accumulated number, number running locally, relocatable) ˜ The current state is C.

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Autonomic and Trusted Computing: 8th International Conference, ATC 2011, Banff, Canada, September 2-4, 2011. Proceedings by Jose M. Alcaraz Calero, Laurence T. Yang, Felix Gomez-Marmol, Luis Javier García Villalba, Andy Xiaolin Li, Yan Wang


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