Name
Abstract | ||
|---|---|---|
When performance studies about proxy cache servers systems are made, one of the most common difficulties is to identify and to obtain representative workloads. Traces have been used as traditional workload. Gathering traces imply a large amount of time. If a self-similar traffic generator could be used, this problem would be solved, therefore evaluation studies become faster and more flexible. This work contains two big parts; First, we perform a study of the self-similar property study about several characteristics of the arrival collected traces, as response size pattern, elapsed request time pattern and so on. Secondly, we model a source and develop a self-similar traffic arrival pattern generator. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/HICSS.2000.926874 | HICSS |
Keywords | Field | DocType |
self-similar traffic arrival pattern,request time pattern,evaluation study,large amount,big part,self-similar property study,performance study,www client,common difficulty,proxy server point,server traffic characterization,response size pattern,self-similar traffic generator,internet,client server | Traffic generation model,Server farm,Clickstream,Computer science,Computer network,Real-time computing,Reverse proxy,AppleShare,Client–server model,Application server,Proxy server | Conference |
ISBN | Citations | PageRank |
0-7695-0493-0 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan-Carlos Cano | 1 | 1297 | 147.62 |
| Nachiondo, T. | 2 | 85 | 5.14 |
| J. Sahuquillo | 3 | 3 | 0.79 |
| A. Pont | 4 | 0 | 0.34 |
| J. A. Gil | 5 | 0 | 0.34 |