2002
DOI: 10.1016/s0928-4869(01)00054-4
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Multicast grouping for data distribution management

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Cited by 31 publications
(23 citation statements)
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“…Although efficient data distribution techniques, such as data replication and fragmentation are common in distributed simulation, their optimal management in terms of synchronisation and load distribution for achieving scalable simulations and optimal performance is still matter of research. The effectiveness of the data transmission can be measured with the ratio E = S/I, where S is sent and I is interested data [27]. Usually E > 1 holds, due to inaccurate storage of interest and redundant network transmission of data [26].…”
Section: Data Distributionmentioning
confidence: 99%
See 1 more Smart Citation
“…Although efficient data distribution techniques, such as data replication and fragmentation are common in distributed simulation, their optimal management in terms of synchronisation and load distribution for achieving scalable simulations and optimal performance is still matter of research. The effectiveness of the data transmission can be measured with the ratio E = S/I, where S is sent and I is interested data [27]. Usually E > 1 holds, due to inaccurate storage of interest and redundant network transmission of data [26].…”
Section: Data Distributionmentioning
confidence: 99%
“…Assigning each intersection region or grid a multicast group [27,4] can reduce the computational load for replicating a data update propagation.…”
Section: Introductionmentioning
confidence: 99%
“…However, unlike the state migration algorithm presented above, static, grid-based Interest Management schemes do not adapt to dynamic changes in the communication patterns between simulation models during execution and are therefore incapable of balancing the communication and computation load. Although there have been a few attempts to define dynamic schemes for Interest Management which concentrate on the dynamic configuration of multicast groups within the context of HLA [2,13,20], the problem of dynamic interest management remains largely unsolved.…”
Section: Related Workmentioning
confidence: 99%
“…In addition, this article proposes a communication data management method with centralized and decentralized approaches to improve the satellite cluster system performance. The methodology is extended from communication data management [18][19][20][21][22][23][24][25] to execute a complex and large-scale distributed system with reasonable computation and communication resources. In our methodology, we provide a functionality balancing for each satellite inside the cluster and the intelligence of the satellite.…”
mentioning
confidence: 99%