Controllability of non-linear predictor-based dynamic bandwidth allocation over EPONs

Si Yin; Yuanqiu Luo; Nirwan Ansari; Ting Wang

doi:10.1109/GLOCOM.2007.420

Controllability of non-linear predictor-based dynamic bandwidth allocation over EPONs

Si Yin, Yuanqiu Luo, Nirwan Ansari, Ting Wang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

We analyze the dynamic bandwidth allocation (DBA) scheme over Ethernet passive optical networks (EPONs). Our focus is on the non-linear predictor-based DBA (NLPDBA), which outperforms other existing schemes with higher bandwidth utilization and shorter packet delay. We establish a system model to evaluate the controllability of NLPDBA. Analytical results show that NLPDBA maintains the EPON system controllability even when the loaded network traffic changes drastically. Our analysis suggests a straightforward framework to design the DBA scheme that would enable a completely controllable access network.

Original language	English (US)
Title of host publication	IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings
Pages	2199-2203
Number of pages	5
DOIs	https://doi.org/10.1109/GLOCOM.2007.420
State	Published - 2007
Event	50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007 - Washington, DC, United States Duration: Nov 26 2007 → Nov 30 2007

Publication series

Name	GLOBECOM - IEEE Global Telecommunications Conference

Other

Other	50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007
Country/Territory	United States
City	Washington, DC
Period	11/26/07 → 11/30/07

All Science Journal Classification (ASJC) codes

General Engineering

Keywords

Controllability
Ethernet passive optical networks (EPONs)
Non-linear prediction-based dynamic bandwidth allocation (NLPDBA)

Access to Document

10.1109/GLOCOM.2007.420

Cite this

@inproceedings{dcac2698aeb748359929242d97e7aa34,

title = "Controllability of non-linear predictor-based dynamic bandwidth allocation over EPONs",

abstract = "We analyze the dynamic bandwidth allocation (DBA) scheme over Ethernet passive optical networks (EPONs). Our focus is on the non-linear predictor-based DBA (NLPDBA), which outperforms other existing schemes with higher bandwidth utilization and shorter packet delay. We establish a system model to evaluate the controllability of NLPDBA. Analytical results show that NLPDBA maintains the EPON system controllability even when the loaded network traffic changes drastically. Our analysis suggests a straightforward framework to design the DBA scheme that would enable a completely controllable access network.",

keywords = "Controllability, Ethernet passive optical networks (EPONs), Non-linear prediction-based dynamic bandwidth allocation (NLPDBA)",

author = "Si Yin and Yuanqiu Luo and Nirwan Ansari and Ting Wang",

year = "2007",

doi = "10.1109/GLOCOM.2007.420",

language = "English (US)",

isbn = "1424410436",

series = "GLOBECOM - IEEE Global Telecommunications Conference",

pages = "2199--2203",

booktitle = "IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings",

}

Yin, S, Luo, Y, Ansari, N & Wang, T 2007, Controllability of non-linear predictor-based dynamic bandwidth allocation over EPONs. in IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings., 4411330, GLOBECOM - IEEE Global Telecommunications Conference, pp. 2199-2203, 50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007, Washington, DC, United States, 11/26/07. https://doi.org/10.1109/GLOCOM.2007.420

Controllability of non-linear predictor-based dynamic bandwidth allocation over EPONs. / Yin, Si; Luo, Yuanqiu; Ansari, Nirwan et al.
IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings. 2007. p. 2199-2203 4411330 (GLOBECOM - IEEE Global Telecommunications Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Controllability of non-linear predictor-based dynamic bandwidth allocation over EPONs

AU - Yin, Si

AU - Luo, Yuanqiu

AU - Ansari, Nirwan

AU - Wang, Ting

PY - 2007

Y1 - 2007

N2 - We analyze the dynamic bandwidth allocation (DBA) scheme over Ethernet passive optical networks (EPONs). Our focus is on the non-linear predictor-based DBA (NLPDBA), which outperforms other existing schemes with higher bandwidth utilization and shorter packet delay. We establish a system model to evaluate the controllability of NLPDBA. Analytical results show that NLPDBA maintains the EPON system controllability even when the loaded network traffic changes drastically. Our analysis suggests a straightforward framework to design the DBA scheme that would enable a completely controllable access network.

AB - We analyze the dynamic bandwidth allocation (DBA) scheme over Ethernet passive optical networks (EPONs). Our focus is on the non-linear predictor-based DBA (NLPDBA), which outperforms other existing schemes with higher bandwidth utilization and shorter packet delay. We establish a system model to evaluate the controllability of NLPDBA. Analytical results show that NLPDBA maintains the EPON system controllability even when the loaded network traffic changes drastically. Our analysis suggests a straightforward framework to design the DBA scheme that would enable a completely controllable access network.

KW - Controllability

KW - Ethernet passive optical networks (EPONs)

KW - Non-linear prediction-based dynamic bandwidth allocation (NLPDBA)

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DO - 10.1109/GLOCOM.2007.420

M3 - Conference contribution

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SN - 9781424410439

T3 - GLOBECOM - IEEE Global Telecommunications Conference

SP - 2199

EP - 2203

BT - IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings

T2 - 50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007

Y2 - 26 November 2007 through 30 November 2007

ER -

Controllability of non-linear predictor-based dynamic bandwidth allocation over EPONs

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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