R/s-analysis of networking traffic for revealing long-term and short-term dependence r/s-analysis of networking traffic for revealinglong-term and short-term dependence
| dc.contributor.author | Radivilova, T. | |
| dc.date.accessioned | 2015-01-20T09:45:46Z | |
| dc.date.available | 2015-01-20T09:45:46Z | |
| dc.date.issued | 2006 | |
| dc.description.abstract | Recent analyses of Internet traffic have shown that traffic volume fluctuations in wide-area and local-area networks are characterized by self-similarity, or long-range dependency. Self-similarity is a scale invariant property under timescale translation, i.e. it yields the existence of clustering and bursty characteristics in the flow over wide time scales. Thus, self-similar traffic causes larger queuing delays than the estimation by Poissonian traffic. Selfsimilarity is relatively a new concept in the computer networking community. It is very different from past views that considered computer network traffic as a Poisson process. In the case of self-similarity, burstness is present in all time-scales and does not tend to pure white Gaussian noise. | uk_UA |
| dc.identifier.citation | Radivilova T. R/s-analysis of networking traffic for revealing long-term and short-term dependence / T. Radivilova // Computer science and information technologies : proceedings of the international conference (September 28th-30th, Lviv, Ukraine) / Lviv Polytechnic National University, Institute of Computer Science and Information Technologies. – Lviv, 2006. – P. 59–61. – Bibliography:2 titles. | uk_UA |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/26013 | |
| dc.language.iso | en | uk_UA |
| dc.publisher | Українські технології | uk_UA |
| dc.title | R/s-analysis of networking traffic for revealing long-term and short-term dependence r/s-analysis of networking traffic for revealinglong-term and short-term dependence | uk_UA |
| dc.type | Article | uk_UA |