International Congress on Ultra Modern Telecommunications and Control Systems 2010
DOI: 10.1109/icumt.2010.5676633
|View full text |Cite
|
Sign up to set email alerts
|

Traffic analysis and characterization of Internet user behavior

Abstract: Internet usage has changed, and the demands on the broadband access networks have increased, both regarding bandwidth and QoS. Characterizing the traffic, as seen by an broadband access network, can help understanding both the demands of today and the demands of tomorrow. In this paper we analyze traffic measurements from a Swedish municipal broadband access network and derive corresponding user behavior models. The paper focuses on Internet usage in terms of traffic patterns, volumes and applications. Also, u… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
27
0
3

Year Published

2011
2011
2021
2021

Publication Types

Select...
5
2
1

Relationship

1
7

Authors

Journals

citations
Cited by 41 publications
(31 citation statements)
references
References 30 publications
0
27
0
3
Order By: Relevance
“…The purpose of the measurements was to build models of IP traffic and user behaviour, see e.g. [3] [4]. Data from the application to the packet level per household were collected in real networks located in different countries (Sweden and Spain) covering different types of access (FTTH, xDSL, CMTS, cellular, university network).…”
Section: Introductionmentioning
confidence: 99%
“…The purpose of the measurements was to build models of IP traffic and user behaviour, see e.g. [3] [4]. Data from the application to the packet level per household were collected in real networks located in different countries (Sweden and Spain) covering different types of access (FTTH, xDSL, CMTS, cellular, university network).…”
Section: Introductionmentioning
confidence: 99%
“…Kihl et al [6] present a study of traffic analysis and characterization of Internet users to help understand Internet usage and the demands on broadband access. They use a commercial tool for capturing and classifying traffic according to Internet protocols and applications.…”
Section: Related Workmentioning
confidence: 99%
“…Activity of network users is considered through defining the activity factor, f a , which shows how many users are active in average at each particular point of time of the day. The activity factors are based on statistical data and measurements [28,29,30] and follow a sinusoidal-like curve with a maximum in the afternoon hours between 6 pm and 9 pm and a minimum in the early morning hours as shown in Figure 9 . In order to take into account future changes of user behavior and developments in network technologies, we assume here three activity factors and four average data rates.…”
Section: Considered Scenariosmentioning
confidence: 99%
“…The average access data rates that we assume for users of wireless and wired networks are shown in Table 5. DR 1 represents the average data rate per active user in current access networks [30,31], while DR 2 , DR 3 and DR 4 are projected data rates for the years 2014, 2016 and 2020 [31]. The ratio between downstream/upstream data rates is set to 3/2.…”
Section: Considered Scenariosmentioning
confidence: 99%