Maintaining knowledge about temporal intervals
Communications of the ACM
Modeling and Querying Moving Objects
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Operating system support for distributed applications in real space-time
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Hovering data clouds: a decentralized and self-organizing information system
IWSOS'06/EuroNGI'06 Proceedings of the First international conference, and Proceedings of the Third international conference on New Trends in Network Architectures and Services conference on Self-Organising Systems
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Traditional distributed systems are intended to hide the system's distribution. Awareness of location within the system or the application is not necessary. In contrast, mobile distributed systems' applications often require awareness of location and even motion. In order to allow abstract generic programming that is unaware of the actual executing system, its distribution has to be hidden to the programmer. So, the need for a programming abstraction that allows considering distribution transparency within the executing system and motion awareness within the application becomes apparent. This would allow developing classes of applications used in different contexts and executed by numerous varying systems. Such a top-down view disburdens the programmer from the complex and error-prone application partitioning and assignment to the sub-systems. Hence, scalability and robustness are improved significantly. We claim that spatiotemporal constraints are a proper way to provide such a top-down approach. We introduce our approach for such constraints and give an application example.