Operations management apparatus, operations management method and program thereof

Abstract

An operations management apparatus, includes a correlation model storing unit which stores a correlation model including one or more correlation functions each of which indicates a correlation between pieces of sequence information out of a plural types of sequence information, for each of plural monitored objects and a correlation destruction detecting unit which detects correlation destruction related to a correlation which is included in said correlation model by applying inputted said sequence information of said monitored object to said correlation model of said monitored object which said correlation model storing unit stores; and a fault analyzing unit which determines and outputs said monitored object through comparing results of judging whether detecting or not detecting said correlation destruction related to a common correlation in said monitored objects which have said correlation models including said common correlation.

What is claimed is: 
     
         1 . An operations management apparatus, comprising:
 a correlation model storing unit which stores a correlation model including one or more correlation functions each of which indicates a correlation between pieces of sequence information out of a plural types of sequence information, for each of plural monitored objects;   a correlation destruction detecting unit which detects correlation destruction related to a correlation which is included in said correlation model by applying inputted said sequence information of said monitored object to said correlation model of said monitored object which said correlation model storing unit stores; and   a fault analyzing unit which determines and outputs said monitored object through comparing results of judging whether detecting or not detecting said correlation destruction related to a common correlation in said monitored objects which have said correlation models including said common correlation.   
     
     
         2 . The operations management apparatus according to  claim 1 , wherein
 said fault analyzing unit determines said monitored object having low degree of similarity on said result of judging whether detecting or not detecting said correlation destruction related to said common correlation in comparison with another monitored object.   
     
     
         3 . The operations management apparatus according to  claim 1 , wherein
 said plural monitored objects are grouped into a plurality of layers, and each of said monitored objects belonging to one layer out of two adjacent said layers is connected with each of said monitored objects belonging to the other layer, and said correlation models of said monitored objects belonging to each of said plural layers include said common correlation, and   said fault analyzing unit compares said results of judging whether detecting or not detecting said correlation destruction related to said common correlation in said monitored objects belonging to each of said plural layers.   
     
     
         4 . The operations management apparatus according to  claim 1 , wherein
 said fault analyzing unit outputs a correlation on which said correlation destruction is detected, which is included in said correlation model of said determined monitored object, in association with a type of sequence information related to said correlation on which said correlation destruction is detected.   
     
     
         5 . The operations management apparatus according to  claim 1 , further comprising:
 a group information generating unit which extracts a group including said monitored objects each having said correlation model including said common correlation, through comparing said correlation models in said plural monitored objects.   
     
     
         6 . An operations management method, comprising:
 storing a correlation model including one or more correlation functions each of which indicates a correlation between pieces of sequence infoiniation out of a plural types of sequence information, for each of plural monitored objects;   detecting correlation destruction related to a correlation which is included in said correlation model by applying inputted said sequence information of said monitored object to said correlation model of said monitored object; and   determining and outputting said monitored object through comparing results of judging whether detecting or not detecting said correlation destruction related to a common correlation in said monitored objects which have said correlation models including said common correlation.   
     
     
         7 . The operations management method according to  claim 6 , wherein
 said determining determines said monitored object having low degree of similarity on said result of judging whether detecting or not detecting said correlation destruction related to said common correlation in comparison with another monitored object.   
     
     
         8 . The operations management method according to  claim 6 , wherein
 said plural monitored objects are grouped into a plurality of layers, and each of said monitored objects belonging to one layer out of two adjacent said layers is connected with each of said monitored objects belonging to the other layer, and said correlation models of said monitored objects belonging to each of said plural layers include said common correlation, and   said determining compares said results of judging whether detecting or not detecting said correlation destruction related to said common correlation in said monitored objects belonging to each of said plural layers.   
     
     
         9 . The operations management method according to  claim 6 , wherein
 said outputting outputs a correlation on which said correlation destruction is detected, which is included in said correlation model of said determined monitored object, in association with a type of sequence information related to said correlation on which said correlation destruction is detected.   
     
     
         10 . The operations management method according to  claim 6 , further comprising:
 extracting a group including said monitored objects each having said correlation model including said common correlation, through comparing said correlation models in said plural monitored objects.   
     
     
         11 . A non-transitory computer readable storage medium recording thereon a program, causing a computer to perform a method comprising:
 storing a correlation model including one or more correlation functions each of which indicates a correlation between pieces of sequence information out of a plural types of sequence information, for each of plural monitored objects;   detecting correlation destruction related to a correlation which is included in said correlation model by applying inputted said sequence information of said monitored object to said correlation model of said monitored object; and   determining and outputting said monitored object through comparing results of judging whether detecting or not detecting said correlation destruction related to a common correlation in said monitored objects which have said correlation models including said common correlation.   
     
     
         12 . The non-transitory computer readable storage medium according to  claim 11 , recording thereon said program causing said computer to perform said method, wherein
 said determining determines said monitored object having low degree of similarity on said result of judging whether detecting or not detecting said correlation destruction related to said common correlation in comparison with another monitored object.   
     
     
         13 . The non-transitory computer readable storage medium according to  claim 11 , recording thereon said program causing said computer to perform said method, wherein
 said plural monitored objects are grouped into a plurality of layers, and each of said monitored objects belonging to one layer out of two adjacent said layers is connected with each of said monitored objects belonging to the other layer, and said correlation models of said monitored objects belonging to each of said plural layers include said common correlation, and   said determining compares said results of judging whether detecting or not detecting said correlation destruction related to said common correlation in said monitored objects belonging to each of said plural layers.   
     
     
         14 . The non-transitory computer readable storage medium according to  claim 11 , recording thereon said program causing said computer to perform said method, wherein
 said outputting outputs a correlation on which said correlation destruction is detected, which is included in said correlation model of said determined monitored object, in association with a type of sequence information related to said correlation on which said correlation destruction is detected.   
     
     
         15 . The non-transitory computer readable storage medium according to  claim 11 , recording thereon said program causing said computer to perform said method, further comprising:
 extracting a group including said monitored objects each having said correlation model including said common correlation, through comparing said correlation models in said plural monitored objects.   
     
     
         16 . An operations management apparatus, comprising:
 correlation model storing means for storing a correlation model including one or more correlation functions each of which indicates a correlation between pieces of sequence information out of a plural types of sequence information, for each of plural monitored objects;   correlation destruction detecting means for detecting correlation destruction related to a correlation which is included in said correlation model by applying inputted said sequence information of said monitored object to said correlation model of said monitored object which said correlation model storing means stores; and   fault analyzing means for determining and outputting said monitored object through comparing results of judging whether detecting or not detecting said correlation destruction related to a common correlation in said monitored objects which have said correlation models including said common correlation.