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We consider the system-level self-diagnosis of multiprocessor and multicomputer systems under the generalized comparison model (GCM). In this diagnosis model, a set of tasks is assigned to pairs of nodes and their outcomes are compared by neighboring nodes. The collections of all comparison outcomes, agreements and disagreements among the nodes, are used to identify the set of faulty nodes. We consider...
Currently available asset tracking systems are not cost effective in mobile and wireless computing infrastructures, and they do not learn the asset's route to act accordingly. Hence our main goal is to not only to track mobile assets by using an efficient geographical tracking approach, but also adapt their routes by means of intelligent route learning techniques. We thus designed and implemented...
We focus on the part of disseminating context information to enable context awareness in various users, devices, and applications, and hence enabling context-based applications in heterogeneous environments such as ambient networks. By making the network itself context-aware, significant contributions are being made in heterogeneous environments. Our `Pure Overlay Space' based context dissemination...
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