Exact(1)
In our proposed method, we modify Eq. (5) for finding balanced-size partitions for efficient distributed graph processing; we introduce a new term for balancing the partitioning size [8] into Eq. (5).
Similar(59)
From Eq. 1, for a very large positive integer L, if we take relatively very small partition size δ, then the number of unique fixed-sized partitions will be astronomically large.
The partition size.
Bipartite cache with fixed partition size (equally distributed).
PU corresponding to different partition size is the basic unit to carry the prediction information.
The MV Predictor MVPP) forming method depends on the availability of nearby MVs and on the partition size.
The opposite block dimensions depend on the MB partition size used.
It changes the database partition size depending on the cluster size of Hadoop and the number of input query sequences.
The MVs prediction-forming method depends on the MC partition size and on the availability of nearby vectors.
It is a hybrid "virtual partitioning" approach that automatically adjusts the database partition size depending on the Hadoop cluster size as well as the number of input query sequences.
Table 5 The configuration of the MDR partition Partition Size (Gbytes) Category1 Chorus-E 1 1.6 Chorus-B 1 2.4 EMIC-E 1 0.8 EMIC-B 1 1.2 EFD 1 0.6 Category2 Chorus-E 2 1.6 Chorus-B 2 2.4 EMIC-E 2 0.8 EMIC-B 2 1.2 EFD 2 0.6.
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