Scale Features of a Network Echo Mechanism: Case Study for the Different Internet Paths
We have investigated dynamics of the Internet performance through the assessment of scaling features of a network ICMP echo mechanism or pinging. Time series of round-trip times (RTT) from the host computer to 5 destination hosts and back, recorded during three consecutive days and nights, have been...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2020/4065048 |
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| author | Teimuraz Matcharashvili Archil Prangishvili Zurab Tsveraidze Levan Laliashvili |
| author_facet | Teimuraz Matcharashvili Archil Prangishvili Zurab Tsveraidze Levan Laliashvili |
| author_sort | Teimuraz Matcharashvili |
| collection | DOAJ |
| description | We have investigated dynamics of the Internet performance through the assessment of scaling features of a network ICMP echo mechanism or pinging. Time series of round-trip times (RTT) from the host computer to 5 destination hosts and back, recorded during three consecutive days and nights, have been used. To assess correlation and scaling features of network echo mechanism, we used method of detrended fluctuation analysis (DFA) for RTT data sets. It was shown that for different, 10 minute long periods of day and night observations, RTT data sets mostly fluctuate within a narrow range, though sometimes we observe strong sharp spikes. RTT variations mostly reveal persistent behavior. DFA fluctuation curves often are characterized by crossovers indication stronger or lesser changes in the dynamics of network performance. Distribution function of DFA scaling exponents of considered RTT time series mostly was asymmetric with long tail on the right hand side. Dynamical changes occurring in the scaling features of Internet network as assessed by RTT fluctuations do not depend on the location of the host and destination nodes. Larger delays in round-trip time responses make the scaling behavior of the RTT series complicated and strongly influence their long range correlation features. |
| format | Article |
| id | doaj-art-263cdc79741a4935b86c76b55bc4fca5 |
| institution | OA Journals |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-263cdc79741a4935b86c76b55bc4fca52025-08-20T02:04:21ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2020-01-01202010.1155/2020/40650484065048Scale Features of a Network Echo Mechanism: Case Study for the Different Internet PathsTeimuraz Matcharashvili0Archil Prangishvili1Zurab Tsveraidze2Levan Laliashvili3Department of Informatics and Control Systems, Georgian Technical University, Tbilisi 0160, GeorgiaDepartment of Informatics and Control Systems, Georgian Technical University, Tbilisi 0160, GeorgiaDepartment of Informatics and Control Systems, Georgian Technical University, Tbilisi 0160, GeorgiaDepartment of Informatics and Control Systems, Georgian Technical University, Tbilisi 0160, GeorgiaWe have investigated dynamics of the Internet performance through the assessment of scaling features of a network ICMP echo mechanism or pinging. Time series of round-trip times (RTT) from the host computer to 5 destination hosts and back, recorded during three consecutive days and nights, have been used. To assess correlation and scaling features of network echo mechanism, we used method of detrended fluctuation analysis (DFA) for RTT data sets. It was shown that for different, 10 minute long periods of day and night observations, RTT data sets mostly fluctuate within a narrow range, though sometimes we observe strong sharp spikes. RTT variations mostly reveal persistent behavior. DFA fluctuation curves often are characterized by crossovers indication stronger or lesser changes in the dynamics of network performance. Distribution function of DFA scaling exponents of considered RTT time series mostly was asymmetric with long tail on the right hand side. Dynamical changes occurring in the scaling features of Internet network as assessed by RTT fluctuations do not depend on the location of the host and destination nodes. Larger delays in round-trip time responses make the scaling behavior of the RTT series complicated and strongly influence their long range correlation features.http://dx.doi.org/10.1155/2020/4065048 |
| spellingShingle | Teimuraz Matcharashvili Archil Prangishvili Zurab Tsveraidze Levan Laliashvili Scale Features of a Network Echo Mechanism: Case Study for the Different Internet Paths Journal of Computer Networks and Communications |
| title | Scale Features of a Network Echo Mechanism: Case Study for the Different Internet Paths |
| title_full | Scale Features of a Network Echo Mechanism: Case Study for the Different Internet Paths |
| title_fullStr | Scale Features of a Network Echo Mechanism: Case Study for the Different Internet Paths |
| title_full_unstemmed | Scale Features of a Network Echo Mechanism: Case Study for the Different Internet Paths |
| title_short | Scale Features of a Network Echo Mechanism: Case Study for the Different Internet Paths |
| title_sort | scale features of a network echo mechanism case study for the different internet paths |
| url | http://dx.doi.org/10.1155/2020/4065048 |
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