Ex Parte Santos et al - Page 12

            Appeal 2007-1595                                                                                 
            Application 09/751,858                                                                           

        1              failures is the average of this time gap (Baum 451).                                  
        2       15. Time to repair is the time gap between the events of a machine failing                   
        3              and its subsequent repair.  Mean-time-to-repair is the average of this                
        4              time gap (Baum 451).                                                                  
        5       16. A time gap is a generalized form of a date gap (FF01).                                   
        6       17. Thus, Baum describes date gap analysis of events related to machine                      
        7              uptime and time to repair as exemplified by a histogram chart to present              
        8              such analysis.                                                                        
        9       18. Baum describes applying a Kolmogorov-Smirnov (K-S) goodness of fit                       
       10              test to the time gap data to test its distribution.  This is a statistical            
       11              analysis based on the difference between the hypothesized distribution                
       12              and the actual data (Baum 452-453).                                                   
       13       19. Baum applies the K-S test to machine uptimes (Baum, 452, Statistical                     
       14              Analysis).  Machine uptime is itself a measure of workload, because it is             
       15              the amount of time a machine works. The distribution function is                      
       16              calculated for each individual data point in the sample (Baum, 453).  The             
       17              number of data points equals the number of machines times the number                  
       18              of data points per machine.  The number of machines working is a                      
       19              measure of the amount of work performed, and is also a measure of                     
       20              workload.  The K-S test then measures the greatest difference between                 
       21              the distribution function and the data points in the sample.  Like the                
       22              previous computation of the distribution function, this computation relies            
       23              on the number of machines and hence the workload.  These differences                  
       24              are themselves data that are modified during the computation, hence data              
       25              is being created and adjusted during the course of the computation based              
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