The emerging discipline of responsive systems demands fault-tolerant and real-time performance in uniprocessor, parallel, and distributed computing environments. The new proposal for responsiveness measure is presented, followed by an introduction of a model for responsive computing. The model, called CONCORDS (CONsensus/COmputation for Responsive Distributed Systems), is based on the integration of various forms of consensus and computation (progress or recovery). The consensus tasks include clock synchronization, diagnosis, checkpointing scheduling and resource allocation.

There exists a considerable number of node placement models and algorithms for simulation of wireless multihop networks. However, the topologies created with the existing algorithms do not have properties of real networks. We have developed NPART (Node Placement Algorithm for Realistic Topologies) in order to resolve this fundamental issue in simulation methodology. We compare topologies generated by NPART with open wireless multihop network in Berlin. The NPART generated topologies have almost identical node degree distribution, number of cut-edges and vertices as the real network. Unlike them, topologies generated with the common node placement models have their own characteristics which are considerably different both from NPART and from reality. NPART algorithm has been developed into a tool. We propose a method and present a tool for integration of NPART with various realistic node mobility algorithms and tools, such as Citymob [1] and MOVE [2]. This integrated tool allows easy and time-efficient generation of highly complex, realistic simulation scenarios. We use the tool to evaluate effects of integration between existing open community wireless multi-hop networks and vehicular ad-hoc networks (VANETs). The evaluation shows that despite partial coverage and peculiar topological properties of open networks, they offer high levels of performance and network availability to the mobile end users, virtually identical to performance and availability of planned, dedicatedly deployed networks. Our results indicate that the integration of these networks may bring considerable benefits to all parties involved.