NDLI: Supporting end-to-end internet QoS for DDS-based large-scale distributed simulation

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Supporting end-to-end internet QoS for DDS-based large-scale distributed simulation

Supporting end-to-end internet QoS for DDS-based large-scale distributed simulation

Content Provider	ACM Digital Library
Author	Hakiri, Akram Gayraud, Thierry Slim Abdellatif, Slim Diaz, Michel Berthou, Pascal
Abstract	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.
Starting Page	397
Ending Page	402
Page Count	6
File Format	PDF
ISBN	9781450319201
DOI	10.1145/2486092.2486149
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-05-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Diffserv Qos framework Large-scale distributed simulation Resource management Dds services
Content Type	Text
Resource Type	Article

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