Dynamic bit-rate adjustment based on traffic characteristics for metro and core networks

Huseyin Abaci; Gerard Parr; Sally McClean; Adrian Moore; Louise Krug

doi:10.1109/INM.2011.5990652

Dynamic bit-rate adjustment based on traffic characteristics for metro and core networks

Huseyin Abaci, Gerard Parr, Sally McClean, Adrian Moore, Louise Krug

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

3 Citations (Scopus)

Abstract

This paper reports on an investigation into bit-rate adjustment on high capability metro and core routers. The bit-rate is controlled in response to traffic load using EWMA (Exponential Weighted Moving Average), with parameters set to minimize the performance impact of the adjustments. The purpose of the adjustment is to enable energy savings. Our calculations show that 22.5% power saving is achievable by bit rate adjustment without significant performance degradation.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Pages	670-673
Number of pages	4
ISBN (Print)	978-1-4244-9219-0 (print)
DOIs	https://doi.org/10.1109/INM.2011.5990652
Publication status	Published (in print/issue) - 18 Aug 2011
Event	IFIP/IEEE International Symposium on Integrated Network Management - Dublin, Ireland Duration: 18 Aug 2011 → …

Other

Other	IFIP/IEEE International Symposium on Integrated Network Management
Period	18/08/11 → …

Bibliographical note

Reference text: Cisco Visual Networking Index - Forecast and Methodology, 2007-2012," 16 June 2008.

GeSI, "ICT and Climate Change: The need for a SMART Alliance", http://www.gesi.org/LinkClick.aspx?fileticket=dTtRJ%2faW3g%3d&tabid=37.

S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall, "Reducing Network Energy Consumption via Sleeping and Rate- Adaptation", USENIX Association Berkeley, CA, USA, (2008).

J. Chabarek, J. Sommers, et al. "Power awareness in network design and routing", In INFOCOM (2008).

C. Gunaratne, K. Christensen, B. Nordman, and S. Suen, "Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)", IEEE Tran. on Computers, vol. 57, no. 4, pp. 448-461, (Apr 2008).

Bolla, R., Bruschi, R., Davoli, F., Ranieri, A.: Energy-aware performance optimization for next-generation green network equipment. ACM SIGCOMM (2009).

N. Vasi'c, and D. Kosti'c, "Energy-Aware Traffic Engineering" EPFL Technical Report, E-energy 2010 PassaulGermany.

CRS-l, Datasheet (all), http://www.cisco.com/en/US/prod/collateral/ routers/ps5763/prod-brochure0900aecd800f8118.pdf

M. Mandviwalla and N.-F. Tzeng. Energy-Efficient Scheme for Multiprocessor-Based Router Linecards. In IEEE SAINT, 2006.

Abilene network traffic statistics, (2010)

L. Chiaraviglio, M. Mellia, F. Neri, "Energy-aware backbone networks: a case study", Workshop on Green Communications, Dresden, Germany, (2009).

D.C. Montgomery, G.C. Runger, "Applied Statistics and Probability for Engineers", 4th Edition, (2007)

J. Baliga, R. Ayre, K. Hinton, W. V. Sorin, R. S. Tucker, "Energy Consumption in Optical IP Networks", IEEE, OSA, (2009).

H. Abaci, G. Parr, S. McClean, A. Moore and L. Krug, "Deriving a Dynamic Power Management Model for Next Generation Network Core Routers", Abstract and Poster Presentation, ACM SIGCOM e-Energy 2010, Pass au/Germany.

Keywords

Bit-rate Adjustment Model
Metro Core Network
NGN
Power Saving
Router

Access to Document

10.1109/INM.2011.5990652

Cite this

@inproceedings{2589c19d68fe42e5be9fdc741ff7e5cf,

title = "Dynamic bit-rate adjustment based on traffic characteristics for metro and core networks",

abstract = "This paper reports on an investigation into bit-rate adjustment on high capability metro and core routers. The bit-rate is controlled in response to traffic load using EWMA (Exponential Weighted Moving Average), with parameters set to minimize the performance impact of the adjustments. The purpose of the adjustment is to enable energy savings. Our calculations show that 22.5% power saving is achievable by bit rate adjustment without significant performance degradation.",

keywords = "Bit-rate Adjustment Model, Metro Core Network, NGN, Power Saving, Router",

author = "Huseyin Abaci and Gerard Parr and Sally McClean and Adrian Moore and Louise Krug",

note = "Reference text: Cisco Visual Networking Index - Forecast and Methodology, 2007-2012,{"} 16 June 2008. GeSI, {"}ICT and Climate Change: The need for a SMART Alliance{"}, http://www.gesi.org/LinkClick.aspx?fileticket=dTtRJ%2faW3g%3d&tabid=37. S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall, {"}Reducing Network Energy Consumption via Sleeping and Rate- Adaptation{"}, USENIX Association Berkeley, CA, USA, (2008). J. Chabarek, J. Sommers, et al. {"}Power awareness in network design and routing{"}, In INFOCOM (2008). C. Gunaratne, K. Christensen, B. Nordman, and S. Suen, {"}Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR){"}, IEEE Tran. on Computers, vol. 57, no. 4, pp. 448-461, (Apr 2008). Bolla, R., Bruschi, R., Davoli, F., Ranieri, A.: Energy-aware performance optimization for next-generation green network equipment. ACM SIGCOMM (2009). N. Vasi'c, and D. Kosti'c, {"}Energy-Aware Traffic Engineering{"} EPFL Technical Report, E-energy 2010 PassaulGermany. CRS-l, Datasheet (all), http://www.cisco.com/en/US/prod/collateral/ routers/ps5763/prod-brochure0900aecd800f8118.pdf M. Mandviwalla and N.-F. Tzeng. Energy-Efficient Scheme for Multiprocessor-Based Router Linecards. In IEEE SAINT, 2006. Abilene network traffic statistics, (2010) L. Chiaraviglio, M. Mellia, F. Neri, {"}Energy-aware backbone networks: a case study{"}, Workshop on Green Communications, Dresden, Germany, (2009). D.C. Montgomery, G.C. Runger, {"}Applied Statistics and Probability for Engineers{"}, 4th Edition, (2007) J. Baliga, R. Ayre, K. Hinton, W. V. Sorin, R. S. Tucker, {"}Energy Consumption in Optical IP Networks{"}, IEEE, OSA, (2009). H. Abaci, G. Parr, S. McClean, A. Moore and L. Krug, {"}Deriving a Dynamic Power Management Model for Next Generation Network Core Routers{"}, Abstract and Poster Presentation, ACM SIGCOM e-Energy 2010, Pass au/Germany.; IFIP/IEEE International Symposium on Integrated Network Management ; Conference date: 18-08-2011",

year = "2011",

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doi = "10.1109/INM.2011.5990652",

language = "English",

isbn = "978-1-4244-9219-0 (print)",

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AU - Abaci, Huseyin

AU - Parr, Gerard

AU - McClean, Sally

AU - Moore, Adrian

AU - Krug, Louise

N1 - Reference text: Cisco Visual Networking Index - Forecast and Methodology, 2007-2012," 16 June 2008. GeSI, "ICT and Climate Change: The need for a SMART Alliance", http://www.gesi.org/LinkClick.aspx?fileticket=dTtRJ%2faW3g%3d&tabid=37. S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall, "Reducing Network Energy Consumption via Sleeping and Rate- Adaptation", USENIX Association Berkeley, CA, USA, (2008). J. Chabarek, J. Sommers, et al. "Power awareness in network design and routing", In INFOCOM (2008). C. Gunaratne, K. Christensen, B. Nordman, and S. Suen, "Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)", IEEE Tran. on Computers, vol. 57, no. 4, pp. 448-461, (Apr 2008). Bolla, R., Bruschi, R., Davoli, F., Ranieri, A.: Energy-aware performance optimization for next-generation green network equipment. ACM SIGCOMM (2009). N. Vasi'c, and D. Kosti'c, "Energy-Aware Traffic Engineering" EPFL Technical Report, E-energy 2010 PassaulGermany. CRS-l, Datasheet (all), http://www.cisco.com/en/US/prod/collateral/ routers/ps5763/prod-brochure0900aecd800f8118.pdf M. Mandviwalla and N.-F. Tzeng. Energy-Efficient Scheme for Multiprocessor-Based Router Linecards. In IEEE SAINT, 2006. Abilene network traffic statistics, (2010) L. Chiaraviglio, M. Mellia, F. Neri, "Energy-aware backbone networks: a case study", Workshop on Green Communications, Dresden, Germany, (2009). D.C. Montgomery, G.C. Runger, "Applied Statistics and Probability for Engineers", 4th Edition, (2007) J. Baliga, R. Ayre, K. Hinton, W. V. Sorin, R. S. Tucker, "Energy Consumption in Optical IP Networks", IEEE, OSA, (2009). H. Abaci, G. Parr, S. McClean, A. Moore and L. Krug, "Deriving a Dynamic Power Management Model for Next Generation Network Core Routers", Abstract and Poster Presentation, ACM SIGCOM e-Energy 2010, Pass au/Germany.

PY - 2011/8/18

Y1 - 2011/8/18

N2 - This paper reports on an investigation into bit-rate adjustment on high capability metro and core routers. The bit-rate is controlled in response to traffic load using EWMA (Exponential Weighted Moving Average), with parameters set to minimize the performance impact of the adjustments. The purpose of the adjustment is to enable energy savings. Our calculations show that 22.5% power saving is achievable by bit rate adjustment without significant performance degradation.

AB - This paper reports on an investigation into bit-rate adjustment on high capability metro and core routers. The bit-rate is controlled in response to traffic load using EWMA (Exponential Weighted Moving Average), with parameters set to minimize the performance impact of the adjustments. The purpose of the adjustment is to enable energy savings. Our calculations show that 22.5% power saving is achievable by bit rate adjustment without significant performance degradation.

KW - Bit-rate Adjustment Model

KW - Metro Core Network

KW - NGN

KW - Power Saving

KW - Router

U2 - 10.1109/INM.2011.5990652

DO - 10.1109/INM.2011.5990652

M3 - Conference contribution

SN - 978-1-4244-9219-0 (print)

SP - 670

EP - 673

BT - Unknown Host Publication

PB - IEEE

T2 - IFIP/IEEE International Symposium on Integrated Network Management

Y2 - 18 August 2011

ER -

Dynamic bit-rate adjustment based on traffic characteristics for metro and core networks

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Bibliographical note

Keywords

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