By Stefan Wildermann, Andreas Oetken, Jürgen Teich, Zoran Salcic (auth.), Bing Xie, Juergen Branke, S. Masoud Sadjadi, Daqing Zhang, Xingshe Zhou (eds.)
Computing platforms together with undefined, software program, verbal exchange, and networks have gotten more and more huge and heterogeneous. in brief, they've got turn into - creasingly advanced. Such complexity is getting much more serious with the ever present permeation of embedded units and different pervasive structures. to deal with the transforming into and ubiquitous complexity, autonomic computing (AC) specializes in self-manageable computing and conversation structures that express self-awareness, self-configuration, self-optimization, self-healing, self-protection and different self-* homes to the utmost volume attainable with no human intervention or suggestions. natural computing (OC) also addresses adaptability, robustness, and c- trolled emergence in addition to nature-inspired techniques for self-organization. Any autonomic or natural process has to be reliable to prevent the danger of wasting regulate and keep self belief that the procedure won't fail. belief and/or mistrust relationships within the net and in pervasive infrastructures are key components to permit dynamic interplay and cooperation of varied clients, platforms, and providers. relied on/ reliable computing (TC) goals at making computing and communique systems––as good as services––available, predictable, traceable, controllable, asse- capable, sustainable, liable, continual, security/privacy protectable, and so on. a sequence of grand demanding situations exists to accomplish useful autonomic or natural s- tems with actually reliable providers. begun in 2005, ATC meetings were held at Nagasaki (Japan), Vienna (Austria), 3 Gorges (China), Hong Kong (China), Oslo (Norway) and Brisbane (Australia). The 2010 lawsuits comprise the papers awarded on the seventh overseas convention on Autonomic and depended on Computing (ATC 2010), held in Xi’an, China, October 26–29, 2010.
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Additional info for Autonomic and Trusted Computing: 7th International Conference, ATC 2010, Xi’an, China, October 26-29, 2010. Proceedings
In this case study, self-organziation is done by role allocation. In case of a failure the system calculates a new valid role allocation, to be able to fulfill the task again. 2 Formal Model and Verification The functional part of the system model described above, is formally represented as an abstract resource-flow system by defining data types for all the concepts and their relations. For instance, the static part of an agent is represented as a tuple 26 F. Nafz et al. identifier : type” splits into a selector identifier and the type of this element of the tuple.
Rsys (V ,V ) :⇔ (V = V ) ∨ SO(V ,V ) This formula states that either no changes are made to the system variables V (no selforganization takes place) or in case a self-organization takes place the variables are 24 F. Nafz et al. changed according to SO(V ,V ). Here the effect of a reorganization is assumed to occur in one transition. This does not mean that the self-organization takes one step, just that the effect is seen by the agent in one point of time. An o/c implementation needs to reflect this, which is expressed by refining formula (1).
Restarts or retries are typical control schemes to meet a deadline in real-time systems, and are regarded as significant environmental diversity techniques in dependable computing. This paper reconsiders a restart control studied by van Moorsel and Wolter (2006), and refines their result from theoretical and statistical points of views. Based on the optimality principle, we show that the time-fixed restart time is best even in non-stationary control setting under the assumption of unbounded restart opportunities.