Grid data copy generation method based on time and space limitation
A spatial locality and grid data technology, applied in the field of data management in a distributed environment, can solve problems such as increasing data access delay and bandwidth consumption, reducing grid system fault tolerance, and limited node storage capacity
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[0075] The collection of data to be managed in the grid {D 1 ,D 2 ,...,D n }, the set of nodes with storage capability {X 1 , X 2 ,...,X m }. At the same time, the data access sequences (S 1 , S 2 ,...,S k ). Then its specific implementation is as follows:
[0076] (1) Access sequence S to user t t (0≤t≤k), calculate the access distance of each access in the sequence in turn, and add its value to the data D of this access j (0≤j≤n) set of access distances Dis(D j )middle;
[0077] (2) For each data D j (0≤j≤n) access distance set Dis(D j ) according to the interval [2 i-1 ,2 i ) for grouping (except 0 and ∞), count the number of visits that occur in each group (3) From the data set {D 1 ,D 2 ,...,D n } choose two D p and D q (0≤p≤n, 0≤q≤n, p≠q), calculate their and Thus calculating Diff(D p ,D q ) value;
[0078] (4) Establish a neighboring relationship graph G=(V, E), where the vertex set V is the data set {D 1 ,D...
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