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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Silva, Joao Marco C. Carvalho, Paulo Lima, Solange Rito |
| Copyright Year | 2015 |
| Description | Author affiliation: Centro Algoritmi, Universidade do Minho, Braga, Portugal (Silva, Joao Marco C.; Carvalho, Paulo; Lima, Solange Rito) |
| Abstract | Understanding network workload through the characterization of network flows, being essential for assisting network management tasks, can benefit largely from traffic sampling as long as an accurate snapshot of network behavior is captured. This paper is devoted to evaluate the real applicability of using sampling to support flow analysis. Considering both classical and emerging sampling techniques, a comparative performance study is carried out to assess the accuracy of estimating flow parameters through sampling. After identifying the main building blocks of sampled-based measurements, a sampling framework has been implemented to provide a versatile and fair platform for carrying out the testing and comparison process. Through an encompassing coverage of representative sampling techniques, the present study aims to provide useful insights regarding the use of sampling in traffic flow analysis. |
| Starting Page | 341 |
| Ending Page | 346 |
| File Size | 865107 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781467371940 |
| DOI | 10.1109/ISCC.2015.7405538 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-06 |
| Publisher Place | Cyprus |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Systematics Estimation Kernel Computer architecture Adaptive systems Taxonomy Computers |
| Content Type | Text |
| Resource Type | Article |
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