In this paper we propose to build highly available applications, i.e., systems with low downtimes, by taking advantage of the component based architecture and of the application scaling property.
Synthesis results for the previously mentioned P = {45, 90, 180, 360} FUs based architectures and also for the optimized 45 FUs version are listed in Table 5.
The performance evaluation of the proposed system shows that the VCL based architecture satisfies the rapid deployment requirement and gives an acceptable grade of service.
This chapter presents that Lab, the agent based architecture they have implemented, and the application of machine learning techniques to identify the activities a worker is doing.
The peculiar fairness problem arising in this folded bus based architecture is addressed and an extension of the MetaRing protocol to the WDM scenario, named Multi-MetaRing, is proposed.
To defuzzify these fuzzified time series values, an ANN based architecture is developed, and incorporated in the proposed model.
We first examine the evolution of multicast routing protocols into the core-based architecture and the motivation for the approach.
To begin with, we present its layered model-based architecture, and the means for ensuring a robust and reliable interaction among the FSW components.
The NSGA-II evolutionary algorithm (Deb et al. 2002) is currently used as optimization back-end, but other approaches can be easily adopted in the future thanks to the DuSE-MT's plugin-based architecture and the optimization engine's internals we have designed.
