Distributed and Parallel Databases - Special issue: Research topics in distributed and parallel databases
Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
Networked virtual environments: design and implementation
Networked virtual environments: design and implementation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Modeling and Asynchronous Distributed Simulation Analyzing Complex Systems
Modeling and Asynchronous Distributed Simulation Analyzing Complex Systems
Guaranteeing Real-Time Requirements With Resource-Based Calibration of Periodic Processes
IEEE Transactions on Software Engineering
Maintaining Temporal Consistency of Discrete Objects in Soft Real-Time Database Systems
IEEE Transactions on Computers
Dynamic shared state maintenance in distributed virtual environments
Dynamic shared state maintenance in distributed virtual environments
Quality of Service Guarantee for Temporal Consistency of Real-Time Transactions
IEEE Transactions on Knowledge and Data Engineering
Taming the dynamics of distributed data
ADC '07 Proceedings of the eighteenth conference on Australasian database - Volume 63
A Management and Control Infrastructure for Integrated Real-Time Simulation Environment
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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A distinguishing characteristic of interactive live-virtual-constructive (LVC) environments is the relaxation of data consistency to improve the performance and scalability of the underlying distributed simulation. Relaxing data consistency improves the interactive performance of the environment because autonomous distributed simulation applications can continue executing and responding to local inputs without waiting for the most current shared data values. Scalability also improves since live and simulated entities from distant geographic locations can be interconnected through relatively high-latency networks. We introduce a temporal consistency model to formally define consistency for the dynamic shared state of a LVC environment for both continuous and discrete data objects. The level of inconsistency tolerated by a LVC is found to be a function of the accuracy and timeliness requirements for the distributed data objects. These requirements are mapped to specific time intervals for which data objects are considered valid. We also develop a real-time algorithm to compute the temporal consistency of individual data objects within the LVC.