Investigation of multifractal properties of additive data stream

Radivilova, T.; Ivanisenko, I.; Kirichenko, L.

Публікація:
Investigation of multifractal properties of additive data stream

dc.contributor.author	Radivilova, T.
dc.contributor.author	Ivanisenko, I.
dc.contributor.author	Kirichenko, L.
dc.date.accessioned	2016-12-08T14:15:28Z
dc.date.available	2016-12-08T14:15:28Z
dc.date.issued	2016
dc.description	Numerous researches of processes in a network have shown that statistical characteristics of the traffic have property of time scale invariance (self-similarity). Self-similar properties were discovered in the local and global networks, particularly traffic Ethernet, ATM, applications TCP, IP, VoIP and video streams. The reason for this effect lies in the features of the distribution of files on servers, their sizes, and the typical behavior of users. It was found that initially not having self-similarity data streams passing on nodal processing servers and active network elements became self-similar.	uk_UA
dc.description.abstract	The work presents results of a numerical study of fractal characteristics of multifractal stream at addition of stream, which does not have multifractal properties. They showed that the generalized Hurst exponent of total stream tends to one of original multifractal stream with increase in signal/noise ratio.	uk_UA
dc.identifier.citation	Ivanisenko, I. Investigation of multifractal properties of additive data stream. / Ivanisenko, I.; Kirichenko, L.; Radivilova, T. // 2016 IEEE First International Conference on data mining and processing. - 2016. - P.305-308	uk_UA
dc.identifier.isbn	978-1-5090-3735-3
dc.identifier.uri	http://openarchive.nure.ua/handle/document/3502
dc.language.iso	en	uk_UA
dc.publisher	Publishing House of Lviv Polytechnic National University	uk_UA
dc.subject	multifractal	uk_UA
dc.subject	Hurst	uk_UA
dc.title	Investigation of multifractal properties of additive data stream	uk_UA
dc.type	Thesis	uk_UA
dspace.entity.type	Publication