Paper Info
Title
Analysis of Self-Similarity in I/O Workload Using Structural Modeling
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
Year
DOI
Venue
1999
10.1109/MASCOT.1999.805060
College Park, MD
Keywords
Field
DocType
self-similar behavior,structural modeling,disk activity,o workload,different approach,observed self-similarity,different period,o request,short activity time,o access,self similarity,storage system,data mining,i o,data security,fractals,pattern analysis,pressing,predictive models
Data mining,Computer science,Workload,Computer data storage,Fractal,Real-time computing,Input/output,Source model,Self-similarity
Conference
ISBN
Citations 
PageRank 
0-7695-0381-0
26
2.13
References 
Authors
4
2
Name
Order
Citations
PageRank
Maria E. Gomez1443.80
Vicente Santonja216818.21