バージョン 55 から バージョン 56 における更新: summarize

更新日時:

2012/07/09 13:42:32 (12 年 前)

更新者:

wu

コメント:

--

summarize

@@ -6 +6 @@
 || Bigdata(min)  ||3  ||62   ||  537  ||        ||   X   ||
 || 4Store (min)  ||2 || 12   ||  6408 ||    #   ||   #   || 
-|| Mulgara(min)  || 10 ||89   ||   X   ||       ||       ||
+|| Mulgara(min)  || 10 ||89   ||   X   ||       ||    X   ||
 
  
@@ -24 +24 @@
 || Bigdata  ||  780M   ||  6.9G  ||   34G     ||      || ||
 || 4Store   ||  2.2G   ||  14.7G ||    *    ||   *   || *||
-|| Mulgara  ||   2.4G ||  15.8G   ||    X     ||     ||
+|| Mulgara  ||   2.4G ||  15.8G   ||    X     ||     || X ||
 
 '''Query for Cell Cycle:'''
@@ -108 +108 @@
 Our evaluation shows that the importing cost of the data depends on the multiple factors: Server configuration(CPU,memory,harddisk and so on), the system property(vm.swappiness, JVM), the application configuration(cachememory,etc...), the data format, the size of data set and even data contents, e.g. DDBJ is nearly 2 times the triple size of Uniprot, but its importing cost is 2 times less than Uniprot(2 times longer expected if simply considering the proportional scaling).  
 
+Without considering inference, when the number of triple size is 
 
+
+