Matching events in a content-based subscription system
Proceedings of the eighteenth annual ACM symposium on Principles of distributed computing
Achieving scalability and expressiveness in an Internet-scale event notification service
Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing
Efficient filtering in publish-subscribe systems using binary decision diagrams
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
The JEDI Event-Based Infrastructure and Its Application to the Development of the OPSS WFMS
IEEE Transactions on Software Engineering
Publish/Subscribe Tree Construction in Wireless Ad-Hoc Networks
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
Supporting Disconnectedness-Transparent Information Delivery for Mobile and Invisible Computing
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
The Event Heap: A Coordination Infrastructure for Interactive Workspaces
WMCSA '02 Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications
Design and Evaluation of a Support Service for Mobile, Wireless Publish/Subscribe Applications
IEEE Transactions on Software Engineering
Towards dynamic reconfiguration of distributed publish-subscribe middleware
SEM'02 Proceedings of the 3rd international conference on Software engineering and middleware
The Å Publish/Subscribe Framework
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
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The Publish-Subscribe paradigm has become an important architectural style for designing distributed systems. In the recent years, we have been witnessing an increasing demand for supporting publish-subscribe for mobile systems in wireless environments. In this paper we present SUBLIM, a stateful model for publish-subscribe systems, which is suitable for mobile systems. In our system, the server maintains a state for each client, which contains variables that describe the properties of particular clients, such as the quality of the connection or the battery utilization. The interest of each subscriber can be expressed in terms of these variables. Based on the subscriber interests, an associated agent is created on the server. The agent filters the data that reach the subscriber based on the content of the message and the current subscriber state. Experimental results show good performance and scalability of our approach.