POWer adaptive random early detection for DiffServ assured forwarding service classes

BK Ng; David Chieng; AY Malik

doi:10.1109/CANET.2006.279262

POWer adaptive random early detection for DiffServ assured forwarding service classes

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

With diverse performance requirements and ever- changing nature of Internet multimedia applications, differential treatment to these applications is inevitable. In this paper we evaluated the performances of popular Adaptive Random Early Detection (ARED) [7] algorithms against our POWer Adaptive Random Early Detection (POWARED) [8] algorithm in providing different throughput and delay assurances to various Differentiated Services (DiffServ) Assured Forwarding (AF) service classes. The results show that POWARED generally outperforms ARED in terms of loss rate and throughput with minimal tradeoffs in delay. DiffServ model is specifically chosen due to its wide market acceptance by industrial players in providing Quality of Service (QoS) across the Internet.

Original language	English
Title of host publication	2006 2nd Ieee/ifip International Conference In Central Asia On Internet
Publisher	IEEE
Number of pages	5
DOIs	https://doi.org/10.1109/CANET.2006.279262
Publication status	Published - 2006
Externally published	Yes
Event	IEEE/IFIP International Conference in Central Asia on Internet - Tashkent, Uzbekistan Duration: 19 Sept 2006 → 21 Sept 2006 Conference number: 2nd

Conference

Conference	IEEE/IFIP International Conference in Central Asia on Internet
Country/Territory	Uzbekistan
City	Tashkent
Period	19/09/06 → 21/09/06

Keywords

Active queue management
Differentiated services
Internet
Quality of service
Random early detection

Access to Document

10.1109/CANET.2006.279262

Cite this

@inproceedings{5308a197fac24c098fe8494561e763fd,

title = "POWer adaptive random early detection for DiffServ assured forwarding service classes",

abstract = "With diverse performance requirements and ever- changing nature of Internet multimedia applications, differential treatment to these applications is inevitable. In this paper we evaluated the performances of popular Adaptive Random Early Detection (ARED) [7] algorithms against our POWer Adaptive Random Early Detection (POWARED) [8] algorithm in providing different throughput and delay assurances to various Differentiated Services (DiffServ) Assured Forwarding (AF) service classes. The results show that POWARED generally outperforms ARED in terms of loss rate and throughput with minimal tradeoffs in delay. DiffServ model is specifically chosen due to its wide market acceptance by industrial players in providing Quality of Service (QoS) across the Internet.",

keywords = "Active queue management, Differentiated services, Internet, Quality of service, Random early detection",

author = "BK Ng and David Chieng and AY Malik",

year = "2006",

doi = "10.1109/CANET.2006.279262",

language = "English",

booktitle = "2006 2nd Ieee/ifip International Conference In Central Asia On Internet",

publisher = "IEEE",

address = "United States",

note = "IEEE/IFIP International Conference in Central Asia on Internet ; Conference date: 19-09-2006 Through 21-09-2006",

}

TY - GEN

T1 - POWer adaptive random early detection for DiffServ assured forwarding service classes

AU - Ng, BK

AU - Chieng, David

AU - Malik, AY

N1 - Conference code: 2nd

PY - 2006

Y1 - 2006

N2 - With diverse performance requirements and ever- changing nature of Internet multimedia applications, differential treatment to these applications is inevitable. In this paper we evaluated the performances of popular Adaptive Random Early Detection (ARED) [7] algorithms against our POWer Adaptive Random Early Detection (POWARED) [8] algorithm in providing different throughput and delay assurances to various Differentiated Services (DiffServ) Assured Forwarding (AF) service classes. The results show that POWARED generally outperforms ARED in terms of loss rate and throughput with minimal tradeoffs in delay. DiffServ model is specifically chosen due to its wide market acceptance by industrial players in providing Quality of Service (QoS) across the Internet.

AB - With diverse performance requirements and ever- changing nature of Internet multimedia applications, differential treatment to these applications is inevitable. In this paper we evaluated the performances of popular Adaptive Random Early Detection (ARED) [7] algorithms against our POWer Adaptive Random Early Detection (POWARED) [8] algorithm in providing different throughput and delay assurances to various Differentiated Services (DiffServ) Assured Forwarding (AF) service classes. The results show that POWARED generally outperforms ARED in terms of loss rate and throughput with minimal tradeoffs in delay. DiffServ model is specifically chosen due to its wide market acceptance by industrial players in providing Quality of Service (QoS) across the Internet.

KW - Active queue management

KW - Differentiated services

KW - Internet

KW - Quality of service

KW - Random early detection

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pure_ris_china&SrcAuth=WosAPI&KeyUT=WOS:000245543000027&DestLinkType=FullRecord&DestApp=WOS

U2 - 10.1109/CANET.2006.279262

DO - 10.1109/CANET.2006.279262

M3 - Conference contribution

BT - 2006 2nd Ieee/ifip International Conference In Central Asia On Internet

PB - IEEE

T2 - IEEE/IFIP International Conference in Central Asia on Internet

Y2 - 19 September 2006 through 21 September 2006

ER -

POWer adaptive random early detection for DiffServ assured forwarding service classes

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this