Supporting large-scale distributed simulation using HLA
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Applying a Scalable CORBA Event Service to Large-Scale Distributed Interactive Simulations
WORDS '99 Proceedings of the Fifth International Workshop on Object-Oriented Real-Time Dependable Systems
OMG Data-Distribution Service: Architectural Overview
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
An ontology for managing network services quality
Expert Systems with Applications: An International Journal
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Supporting end-to-end quality-of-service (QoS) in Large-scale distributed interactive simulations (DIS) is hard due to the heterogeneity and scale of communication networks, transient behavior, and the lack of mechanisms that holistically schedule different resources end-to-end. This paper aims to cope with these problems in the context of wide area network (WAN)-based DIS applications that use the OMG Data Distribution Service (DDS) QoS-enabled publish/subscribe middleware. First, we show the design and implementation of the QoS framework, which is a policy-driven architecture that shields DDS-based DIS applications from the details of network QoS mechanisms by specifying per-flow network QoS requirements, performing resource allocation and validation decisions (such as admission control), and enforcing per-flow network QoS at runtime. Second, we evaluate the capabilities of the framework in an experimental large-scale multi-domains environment. The evaluation of the architecture shows that the proposed QoS framework improves the delivery of DDS services over heterogeneous IP networks, and confirms its potential impact for providing network-level differentiated performance.