Distributed moving object database servers are a feasible solution to the scalability problem of centralized database systems. In this paper we propose a distributed indexing method, using the Distributed Hash Table (DHT) paradigm, devised to efficiently support complex spa-tio temporal queries. We assume a setting in which there is a large number of database servers that keep track of events associated with a highly dynamic system of moving objects deployed in a spatial area. We present a technique for properly keeping the index up to date and efficiently processing range and top-k queries for moving object databases. We evaluated our system using event-driven simulators with demanding spatio temporal workloads and the results show good performance in terms of response time and network traffic.
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