Generating a function for network delay.
Saved in:
| Title: | Generating a function for network delay. |
|---|---|
| Authors: | Sukhov, A. M.1 amskh@yandex.ru, Astrakhantseva, M. A.2 mariia.astrakhantceva@hslu.ch, Pervitsky, A. K.1 pervitskiy.alex@mail.ru, Boldyrev, S. S.1 seargeb@gmail.com, Bukatov, A. A.3 baa@sfedu.ru |
| Source: | Journal of High Speed Networks. 2016, Vol. 22 Issue 4, p321-333. 13p. |
| Subjects: | Computer network design & construction, Delay-tolerant networks, Acquisition of data, Pearson correlation (Statistics), Data distribution |
| Abstract: | This article is devoted to the search for a generating function for network delay simulation. We justify the choice of the measurement system used to collect delay data with microsecond accuracy. Experimental data are employed in order to form a hypothesis regarding the exponential type of delay. The paper is restricted to the study of the simplest two cases: the linear and quadratic dependence of the delay distribution function. The application of the Pearson criterion led to the conclusion that an exponential distribution can be used to describe network delay, but is valid only for small periods from 10 to 30 minutes. We also justify the expression for the distribution function and generating function for further theoretical and experimental calculations. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of High Speed Networks is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 120479509 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Generating a function for network delay. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sukhov%2C+A%2E+M%2E%22">Sukhov, A. M.</searchLink><relatesTo>1</relatesTo><i> amskh@yandex.ru</i><br /><searchLink fieldCode="AR" term="%22Astrakhantseva%2C+M%2E+A%2E%22">Astrakhantseva, M. A.</searchLink><relatesTo>2</relatesTo><i> mariia.astrakhantceva@hslu.ch</i><br /><searchLink fieldCode="AR" term="%22Pervitsky%2C+A%2E+K%2E%22">Pervitsky, A. K.</searchLink><relatesTo>1</relatesTo><i> pervitskiy.alex@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Boldyrev%2C+S%2E+S%2E%22">Boldyrev, S. S.</searchLink><relatesTo>1</relatesTo><i> seargeb@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bukatov%2C+A%2E+A%2E%22">Bukatov, A. A.</searchLink><relatesTo>3</relatesTo><i> baa@sfedu.ru</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+High+Speed+Networks%22">Journal of High Speed Networks</searchLink>. 2016, Vol. 22 Issue 4, p321-333. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+network+design+%26+construction%22">Computer network design & construction</searchLink><br /><searchLink fieldCode="DE" term="%22Delay-tolerant+networks%22">Delay-tolerant networks</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+distribution%22">Data distribution</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article is devoted to the search for a generating function for network delay simulation. We justify the choice of the measurement system used to collect delay data with microsecond accuracy. Experimental data are employed in order to form a hypothesis regarding the exponential type of delay. The paper is restricted to the study of the simplest two cases: the linear and quadratic dependence of the delay distribution function. The application of the Pearson criterion led to the conclusion that an exponential distribution can be used to describe network delay, but is valid only for small periods from 10 to 30 minutes. We also justify the expression for the distribution function and generating function for further theoretical and experimental calculations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of High Speed Networks is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=120479509 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/JHS-160552 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 321 Subjects: – SubjectFull: Computer network design & construction Type: general – SubjectFull: Delay-tolerant networks Type: general – SubjectFull: Acquisition of data Type: general – SubjectFull: Pearson correlation (Statistics) Type: general – SubjectFull: Data distribution Type: general Titles: – TitleFull: Generating a function for network delay. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sukhov, A. M. – PersonEntity: Name: NameFull: Astrakhantseva, M. A. – PersonEntity: Name: NameFull: Pervitsky, A. K. – PersonEntity: Name: NameFull: Boldyrev, S. S. – PersonEntity: Name: NameFull: Bukatov, A. A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 09266801 Numbering: – Type: volume Value: 22 – Type: issue Value: 4 Titles: – TitleFull: Journal of High Speed Networks Type: main |
| ResultId | 1 |