Guang Sun1, 2, *, Xiaoping Fan1, Wangdong Jiang1, Hangjun Zhou1, Fenghua Li1, Rong Yang1
CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 743-753, 2020, DOI:10.32604/cmc.2020.05564
Abstract Graph analysis can be done at scale by using Spark GraphX which loading data
into memory and running graph analysis in parallel. In this way, we should take data out of
graph databases and put it into memory. Considering the limitation of memory size, the
premise of accelerating graph analytical process reduces the graph data to a suitable size
without too much loss of similarity to the original graph. This paper presents our method of
data cleaning on the software graph. We use SEQUITUR data compression algorithm to
find out hot code path and store it as a whole paths… More >
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