Creating computer simulation systems: an introduction to the high level architecture
Creating computer simulation systems: an introduction to the high level architecture
High Level Architecture for Simulation: An Update
DIS-RT '98 Proceedings of the Second International Workshop on Distributed Interactive Simulation and Real-Time Applications
OMG Data-Distribution Service: Architectural Overview
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
A TMO Based Approach to Structuring Real-Time Agents
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
The enterprise service bus: making service-oriented architecture real
IBM Systems Journal
A Framework for DRE middleware, an Application to DDS
ISORC '06 Proceedings of the Ninth IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
Real Time Enterprises: A Continuous Migration Approach
Information-Knowledge-Systems Management
Efficient data-intensive event-driven interaction in SOA
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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To realize real-time information sharing in generic platforms, it is especially important to support dynamic message structure changes. For the case of IDL, it is necessary to rewrite applications to change data sample structures. In this paper, we propose a dynamic reconfiguration scheme of data sample structures for DDS. Instead of using IDL, which is the static data sample structure model of DDS, we use a self describing model using data sample schema, as a dynamic data sample structure model to support dynamic reconfiguration of data sample structures. We also propose a data propagation model to provide data persistency in distributed environments. We guarantee persistency by transferring data samples through relay nodes to the receiving nodes, which have not participated in the data distribution network at the data sample distribution time. The proposed schemes can be utilized to support data sample structure changes during operation time and to provide data persistency in various environments, such as real-time enterprise environments and connection-less internet environments.