High Level Architecture(HLA) is architecture for reuse and interoperation of *** HLA paradigm,the Runtime Infrastructure(RTI) provides a set of *** Distribution Management(DDM) service reduces message traffic ov...
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High Level Architecture(HLA) is architecture for reuse and interoperation of *** HLA paradigm,the Runtime Infrastructure(RTI) provides a set of *** Distribution Management(DDM) service reduces message traffic over the *** aims to control and limit the data exchanged between federates during *** federate may inform the RTI about its intention to publish some data or it may subscribe to receive a subset of the published *** services are used to reduce the transmission and receiving of irrelevant data and aimed at reducing the communication over the *** services rely on the computation of the intersection between "update" and "subscription" *** calculating the intersection between update regions and subscription regions,the higher computation overhead can ***,there are several main DDM filtering *** paper proposes the layer partition-based matching algorithm for DDM in the HLA-based large-scale distributed *** new algorithm chooses the dynamic pivot based on regions distribution in the routing *** binary partition-based algorithm is fundamentally based on a divide and conquers *** algorithm always chooses the midpoint as the pivot point of routing *** approach promises low computational overhead,since it does not require unnecessary comparisons within regions in different *** proposed algorithm firstly calculates the regions ***,the partitioning among regions performs based on the result of choosing pivot based on region detection and defines the matching area that entirely covers all regions which need to match with regions at pivot *** proposed algorithm provides the more definite matching area between update region and subscription region during matching *** algorithm guarantees low computational overheads for matching process based on the overlapping degree between the regions and reduce the irrelevant m
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