Title : 
Emulating and modeling of service system aging process
         
        
            Author : 
You Jing ; Zhang Lan Xu Kangning ; Shi Haifeng ; Sun Yuqiang
         
        
            Author_Institution : 
Faculty of Information Science & Engineering, Changzhou University, Jiang Su, China
         
        
        
        
        
            Abstract : 
In order to monitoring g the software aging of server system, a universal method emulating the aging of service system is put forward in this paper. The large system load is sent to the server, meanwhile monitoring and collecting system resources data. A resources monitor is designed to implement the custom-made collection and self-adapted collection of the resources data. The paper compares three common models to analyze the resources data, and then a new data analysis idea is proposed, which describes the combined effects of a variety of resources that have impact on the service system response time.
         
        
            Keywords : 
ARMA model; Gene expression progress model; Linear regression model; Resource monitor; Software aging; State-space model;
         
        
        
        
            Conference_Titel : 
World Automation Congress (WAC), 2012
         
        
            Conference_Location : 
Puerto Vallarta, Mexico
         
        
        
            Print_ISBN : 
978-1-4673-4497-5