Journal of Lightwave Technology
DOI: 10.1109/ofc.2003.1247540
|View full text |Cite
|
Sign up to set email alerts
|

Does burst assembly really reduce the self-similarity?

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
24
0

Publication Types

Select...
4
4

Relationship

0
8

Authors

Journals

citations
Cited by 44 publications
(24 citation statements)
references
References 4 publications
0
24
0
Order By: Relevance
“…Still, it cannot reduce the self-similarity of network traffic, which is commonly measured on higher time-scales (typically seconds and above). Only the self-similarity of the stochastic process describing the burst control packets can be reduced by time-based assembly [HDG03]. But this does not influence the data channels in OBS, which are more relevant for QoS [HMQ + 05].…”
Section: Characteristics Of Assembled Burst Trafficmentioning
confidence: 99%
“…Still, it cannot reduce the self-similarity of network traffic, which is commonly measured on higher time-scales (typically seconds and above). Only the self-similarity of the stochastic process describing the burst control packets can be reduced by time-based assembly [HDG03]. But this does not influence the data channels in OBS, which are more relevant for QoS [HMQ + 05].…”
Section: Characteristics Of Assembled Burst Trafficmentioning
confidence: 99%
“…The detailed model is described in [5]. Regarding the traffic volume measurement, the approach presented in [42] is adopted focusing on packet and burst-wise measurements because the packet-wise and burst-wise analysis is important on the performance of the electronic control units in core routers. The quantitative values for the Hurst parameter estimation are reported for the proposed adaptive burstification algorithm.…”
Section: Performance Evaluation Of Adaptive Burst Assembly Algorithmsmentioning
confidence: 99%
“…The statistics for the size and interarrival time of bursts from the assembly are investigated in [22,59]. The impact of burstification on the selfsimilarity level of the data traffic is studied in [42,48,103,107]. A complete analysis is investigated in Section 7.3.3 where the impact of timer-and size-based burstification algorithms on the self-similarity level of the output traffic is reported.…”
Section: Burstification Mechanisms 731 Introduction and State-of-thmentioning
confidence: 99%
“…Packets arriving at an edge node are aggregated into a burst according to some burst aggregation method [34][35][36][37]. The aggregation process transforms the original packet traffic into a burst traffic that can be described by a source which switches its level of activity between two states: ON (burst transmission time, with mean duration equal to t ON ) and OFF (time between the end of a burst transmission and the start of the next one, with mean duration equal to t OFF ).…”
Section: Network and Traffic Modelmentioning
confidence: 99%