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Multi-domain traffic engineering is a very challenging problem area and crankback signaling offers a very promising solutions framework herein. Although some initial crankback studies have been done, there is still significant latitude for improving multi-domain crankback performance. Along these lines, this paper studies realistic IP/MPLS multi-domain(More)
A novel multi-domain path routing solution is proposed for improving connection reliability under multiple correlated failure events. The formulation assumes probabilistic failures and jointly incorporates traffic engineering objectives. 1. Introduction Network survivability is a key area and many schemes have been studied for optical dense wavelength(More)
In this paper with the use of fuzzy genetic algorithm combination with evolutionary algorithms, as a method for local searching, it has been tried to exploit high capabilities of genetic algorithm, as a search algorithm, beside to other evolutionary algorithms, as local search algorithms, in order to increase efficiency of a rule learning system. For this(More)
Applications in pervasive computing environment exploit information about the context of use, such as the location, tasks and preferences of the user, in order to adapt their behavior in response to changing operating environments and user requirements. Utilizing context with aid of ontology in data and model, decision support systems can provide better and(More)
Multi-domain networking is an important focus area and crankback signaling strategies offer much potential for post-fault recovery. However, most studies in this space have not addressed multi-failure scenarios, e.g., correlated failures such as those resulting from weapons of mass destruction attacks. Hence this paper proposes a novel solution for(More)