Name
Abstract | ||
|---|---|---|
The relative performance of different data collection methods in the assessment of various traffic parameters is significant when the amount of data generated by a complete trace of a traffic interval is computationally overwhelming, and even capturing summary statistics for all traffic is impractical. This paper presents a study of the performance of various methods of sampling in answering questions related to wide area network traffic characterization. Using a packet trace from a network environment that aggregates traffic from a large number of sources, we simulate various sampling approaches, including time-driven and event-driven methods, with both random and deterministic selection patterns, at a variety of granularities. Using several metrics which indicate the similarity between two distributions, we then compare the sampled traces to the parent population. Our results revealed that the time-triggered techniques did not perform as well as the packet-triggered ones. Furthermore, the performance differences within each class (packet-based or time-based techniques) are small. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1145/166237.166256 | SIGCOMM |
Keywords | Field | DocType |
network traffic characterization,various sampling approach,relative performance,wide area network traffic,traffic interval,sampling methodology,different data collection method,complete trace,performance difference,various method,aggregates traffic,various traffic parameter,data collection | Data mining,Population,Data collection,Traffic generation model,Computer science,Network packet,Sampling (statistics),Wide area network,Network traffic simulation | Conference |
Volume | Issue | ISSN |
23 | 4 | 0146-4833 |
ISBN | Citations | PageRank |
0-89791-619-0 | 123 | 19.45 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kimberly C. Claffy | 1 | 445 | 66.00 |
| george c polyzos | 2 | 1417 | 182.86 |
| Hans-Werner Braun | 3 | 247 | 142.67 |