Adaptive push-pull: disseminating dynamic web data
Proceedings of the 10th international conference on World Wide Web
MAgNET: Mobile Agents for Networked Electronic Trading
IEEE Transactions on Knowledge and Data Engineering
Continual Queries for Internet Scale Event-Driven Information Delivery
IEEE Transactions on Knowledge and Data Engineering
Mobile Agents for World Wide Web Distributed Database Access
IEEE Transactions on Knowledge and Data Engineering
Real-Time Databases and Data Services
Real-Time Systems
Processing of location-dependent continuous queries on real-time spatial data: the view from RETINA
International Journal of Computers and Applications
Using cooperative mobile agents to monitor distributed and dynamic environments
Information Sciences: an International Journal
Itinerary determination of imprecise mobile agents with firm deadline
Web Intelligence and Agent Systems
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RTMonitor is a real-time data management system for traffic navigation applications. In our system, mobile vehicles initiate time-constrained navigation requests and RTMonitor calculates and communicates the best paths for the clients based on the road network and real-time traffic data. The correctness of the suggested routes highly depends on how well the system can maintain temporal consistency of the traffic data. To minimize the overheads of maintaining the real-time data, RTMonitor adopts a cooperative and distributed approach using mobile agents which can greatly reduce the amount of communications and improves the scalability of the system. To minimize the space and message overheads, we have designed a two-level traffic graph scheme to organize the real-time traffic data to support navigation requests. In the framework, the agents use an Adaptive PUSH OR PULL (APoP) scheme to maintain the temporal consistency of the traffic data. Our experiments using synthetic traffic data show that RTMonitor can provide efficient support to serve navigation requests in a timely fashion. Although several agents may be needed to serve a request, the size of each agent is very small (only a few kilobytes) and the resulting communication and processing overheads for data monitoring can be maintained within a reasonable level.