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A self-stabilizing protocol guarantees that starting from any arbitrary initial configuration, a system eventually comes to satisfy its specification and keeps the specification forever.
For a given system configuration, a system model estimates the cycles per instruction that the system would incur while running a given workload.
To circumvent the difficulty and impossibility, we introduce a novel notion of loose-stabilization, that relaxes the closure requirement of self-stabilization; starting from any arbitrary configuration, a system comes to satisfy its specification in a relatively short time, and it keeps the specification not forever but for a long time.
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Metastability is the idea that there are multiple stable configurations a system can assume within a larger possibility space; the shape that system takes at the moment may simply be one among many that are potentially available to it.
In a previous work (Sanchez et al. 2013), we presented a heuristic search algorithm called CSA (Configuration Selection Algorithm 1 for solving the optimization problem resulting from selecting a valid configuration of a system based on feature models.
Figure 6 MSEs, system BERs and sum capacities for configuration B. (a) System MSEs.
Thus, in Bohmian mechanics the configuration of a system of particles evolves via a deterministic motion choreographed by the wave function.
The analysis recommends a heat pump configuration with a system exergetic efficiency of 63%.
Furthermore, CSMA/CA began having problems completing the network configuration for a system consisting of as few as seven nodes.
Such policies are particularly useful when evaluating whether the access control configuration of a system is ready for emergency response.
We present a new algorithm for optimising the configuration of a system of particles using damped molecular dynamics.
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