Title : 
Analysis of self-similarity in I/O workload using structural modeling
         
        
            Author : 
Gomez, Maria E. ; Santonja, Vicente
         
        
            Author_Institution : 
Dept. de Inf. de Sistemas y Computadores, Univ. Politecnica de Valencia, Spain
         
        
        
        
        
        
            Abstract : 
Demonstrates that disk-level I/O requests are self-similar in nature. We show evidence (both visual and mathematical) that I/O accesses are consistent with self-similarity. For this analysis, we have used two sets of disk activity traces collected from various systems over different periods of time. In addition to studying the aggregated I/O workload that is directed to the storage system, we perform a structural modeling of the workload in order to understand the underlying causes that produce the observed self-similarity. This structural modeling shows that self-similar behavior can be explained by combining two different approaches: the on/off source model and Cox´s model. The former applies to those processes that remain active during the whole trace, while the latter applies to sources that show a very short activity time
         
        
            Keywords : 
disc storage; fractals; input-output programs; performance evaluation; Cox´s model; I/O accesses; I/O workload; activity time; disk activity traces; disk-level I/O requests; on/off source model; self-similarity; storage system; structural modeling; Data mining; Data security; Pattern analysis; Performance analysis; Predictive models; Pressing; Proposals;
         
        
        
        
            Conference_Titel : 
Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 1999. Proceedings. 7th International Symposium on
         
        
            Conference_Location : 
College Park, MD
         
        
            Print_ISBN : 
0-7695-0381-0
         
        
        
            DOI : 
10.1109/MASCOT.1999.805060