Multi-level Power and Performance Tradeoffs Across the Access Networks to Customer Premises Equipment

Varsha Jain; Gerard Parr; Philip Morrow; M Polaine

doi:10.1109/IGCC.2011.6008587

Multi-level Power and Performance Tradeoffs Across the Access Networks to Customer Premises Equipment

Varsha Jain, Gerard Parr, Philip Morrow, M Polaine

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

Abstract

Across broadband access networks, significant opportunities to minimise energy consumption exist at the application and networks level but are not fully coordinated. For example, an application can tune its QoS in accordance with the available power levels of network systems. As a first step towards enabling energy efficiency, we study the interrelationship between energy consumption and application performance in a residential home-gateway. The study reveals the power and application performance trade-offs in broadband access networks and then employs an agent based approach that works together in accordance with a flexible set of power-performance objectives and determines the existence of a feasible coordinated operating point. The key elements of our approach include (a) a power-performance polygon-based methodology which automatically selects power management settings that keep the pathway from access network to homegateway operating close to the optimal operating point (b) a multi-agent policy-based approach which adaptively manages performance and power consumption based on varying traffic load during peak/off-peak hours. Finally, the efficiency of the model is demonstrated by the initial results of the experiments.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Number of pages	6
ISBN (Print)	978-1-4577-1222-7 (print)
DOIs	https://doi.org/10.1109/IGCC.2011.6008587
Publication status	Published (in print/issue) - 1 Sept 2011
Event	International Green Computing Conference and Workshops - Florida, USA Duration: 1 Sept 2011 → …

Conference

Conference	International Green Computing Conference and Workshops
Period	1/09/11 → …

Bibliographical note

Reference text: GeSI, "Smart 2020: Enabling the low carbon economy in the information age," London, U.K., 2008. [Online]. Available: http://www.smart2020.org/-assets/files/

Code of conduct on energy consumption of broadband equipment. , October 2009. [Online]. Available: http://re.jrc.ec.europa.eu/energyefficiency

Cisco. (2009). Cisco visual networking index: Forecast and methodology, 2009-2014.White paper. [Online]. Available: http://www.cisco.com.

C. Gunaratne, K. Christensen, B. Nordman, and S. Suen.Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR). IEEE Trans. Comput.,57(4):448-461, 2008. (Pubitemid 351411555)

A. Vahdat et al. Every joule is precious: The case for revisiting operating system design for power efficiency. In 9th ACM SIGOPS European Workshop, 2007

M. Gupta, S. Grover, and S. Singh. A Feasibility Study for Power Management in LAN Switches. In ICNP, 2004.

M. Steinder, I. Whalley, J.E. Hanson, and J.O. Kephart. Coordinated management of power usage and runtime performance. In IEEE Network Operations and Managament Symposium (NOMS), pages 387-394, April 2008.

B. Khargharia, S. Hariri, and M. Yousif. Autonomic power and performance management for computing systems. Cluster Computing, 11(2):167{181}, 2008. (Pubitemid 351411542)

Home gateway initiative Requirement for an energy efficient home gateway October 2010. [Online]. Available: www.homegatewayinitiative.org/

Aman Kansal, Jie Liu, Abhishek Singh, Ripal Nathuji, and Tarek Abdelzaher, "Semantic-less Coordination of Power Management and Application Performance", in Hotpower 2009 (co-located with SOSP 2009), USENIX, 10 October 2009.

J. O. Kephart et al. Coordinating multiple autonomic managers to achieve specified power-performance tradeoffs.In Proc. of ICAC-07, 2007.

C. Cicconetti, C. Eklund, L. Lenzini, and E. Mingozzi, "Reducing Power Consumption with QoS Constraints in IEEE 802.16e Wireless Networks," IEEE Network Magazine, vol. 9, no. 7, July. 2010.

S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall. Reducing Network Energy Consumption via Sleeping and Rate-Adaptation. In NSDI, 2008.

Home gateway initiative: QoS white paper, 2009. [Online]. Available: www.homegatewayinitiative.org/publis/HGI-GD013-R2.pdf

M. Dischinger, A. Haeberlen, K. P. Gummadi, and S. Saroiu. Characterizing residential broadband networks. In IMC ?07: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, pages 43-56, New York, NY, USA, ACM, 2007.

OPNET network Simulation. [Online]. Available: Sept, 2010 www.opnet.com/.

J. Baliga, R. Ayre, W. V. Sorin, K. Hinton, and R. S. Tucker, "Energy consumption in access networks," in Proc. Opt. Fiber Commun./Nat. Fiber Opt. Eng. Conf. (OFC)/(NFOEC), San Diego, CA, Feb. 2008 [Online]. Available: http://ieeexplore.ieee.org/xpl/freeabs-all.jsp? arnumber=4519173

R. S. Tucker. Modelling Energy Consumption in IP Networks. In Cisco Green Research Symposium, 2008

R. Gaudino, D. Cárdenas, M. Bellec, B. Charbonnier, N. Evanno, P. Guignard, S. Meyer, A. Pizzinat, I. Möllers, and D. Jäger, "Perspective in next-generation home networks: Toward optical solutions?," IEEE Comm. Mag., vol. 48, no. 2, pp. 39-47, Feb. 2010.

V. Jain, G. Parr, P. Morrow, and M. Polaine "Intelligent Energy Efficient Network Management Across the Access Networks to CPE Pathway", 12th IFIP/IEEE, International Symposium on integrated Network Management Dublin, Ireland, May 2011

J. Chabarek, J. Sommers, P. Barford, C. Estan, D. Tsiang, and S. Wright, "Power Awareness in Network Design and Routing," in Proc. IEEE INFOCOM, 2008.

L. A. Barroso and U. Hölzle. The case for energy-proportional computing. Computer, 40(12):33-37, 2007.

Keywords

ADSL
Access Networks
Autonomic Network Management
Coordination
Performance
Power Management
Residential Home-Gateway
WiMAX

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IGCC.2011.6008587

Cite this

@inproceedings{a69dc0bc8a2847bfafe67130a277dfdf,

title = "Multi-level Power and Performance Tradeoffs Across the Access Networks to Customer Premises Equipment",

abstract = "Across broadband access networks, significant opportunities to minimise energy consumption exist at the application and networks level but are not fully coordinated. For example, an application can tune its QoS in accordance with the available power levels of network systems. As a first step towards enabling energy efficiency, we study the interrelationship between energy consumption and application performance in a residential home-gateway. The study reveals the power and application performance trade-offs in broadband access networks and then employs an agent based approach that works together in accordance with a flexible set of power-performance objectives and determines the existence of a feasible coordinated operating point. The key elements of our approach include (a) a power-performance polygon-based methodology which automatically selects power management settings that keep the pathway from access network to homegateway operating close to the optimal operating point (b) a multi-agent policy-based approach which adaptively manages performance and power consumption based on varying traffic load during peak/off-peak hours. Finally, the efficiency of the model is demonstrated by the initial results of the experiments.",

keywords = "ADSL, Access Networks, Autonomic Network Management, Coordination, Performance, Power Management, Residential Home-Gateway, WiMAX",

author = "Varsha Jain and Gerard Parr and Philip Morrow and M Polaine",

note = "Reference text: GeSI, {"}Smart 2020: Enabling the low carbon economy in the information age,{"} London, U.K., 2008. [Online]. Available: http://www.smart2020.org/-assets/files/ Code of conduct on energy consumption of broadband equipment. , October 2009. [Online]. Available: http://re.jrc.ec.europa.eu/energyefficiency Cisco. (2009). Cisco visual networking index: Forecast and methodology, 2009-2014.White paper. [Online]. Available: http://www.cisco.com. C. Gunaratne, K. Christensen, B. Nordman, and S. Suen.Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR). IEEE Trans. Comput.,57(4):448-461, 2008. (Pubitemid 351411555) A. Vahdat et al. Every joule is precious: The case for revisiting operating system design for power efficiency. In 9th ACM SIGOPS European Workshop, 2007 M. Gupta, S. Grover, and S. Singh. A Feasibility Study for Power Management in LAN Switches. In ICNP, 2004. M. Steinder, I. Whalley, J.E. Hanson, and J.O. Kephart. Coordinated management of power usage and runtime performance. In IEEE Network Operations and Managament Symposium (NOMS), pages 387-394, April 2008. B. Khargharia, S. Hariri, and M. Yousif. Autonomic power and performance management for computing systems. Cluster Computing, 11(2):167{181}, 2008. (Pubitemid 351411542) Home gateway initiative Requirement for an energy efficient home gateway October 2010. [Online]. Available: www.homegatewayinitiative.org/ Aman Kansal, Jie Liu, Abhishek Singh, Ripal Nathuji, and Tarek Abdelzaher, {"}Semantic-less Coordination of Power Management and Application Performance{"}, in Hotpower 2009 (co-located with SOSP 2009), USENIX, 10 October 2009. J. O. Kephart et al. Coordinating multiple autonomic managers to achieve specified power-performance tradeoffs.In Proc. of ICAC-07, 2007. C. Cicconetti, C. Eklund, L. Lenzini, and E. Mingozzi, {"}Reducing Power Consumption with QoS Constraints in IEEE 802.16e Wireless Networks,{"} IEEE Network Magazine, vol. 9, no. 7, July. 2010. S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall. Reducing Network Energy Consumption via Sleeping and Rate-Adaptation. In NSDI, 2008. Home gateway initiative: QoS white paper, 2009. [Online]. Available: www.homegatewayinitiative.org/publis/HGI-GD013-R2.pdf M. Dischinger, A. Haeberlen, K. P. Gummadi, and S. Saroiu. Characterizing residential broadband networks. In IMC ?07: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, pages 43-56, New York, NY, USA, ACM, 2007. OPNET network Simulation. [Online]. Available: Sept, 2010 www.opnet.com/. J. Baliga, R. Ayre, W. V. Sorin, K. Hinton, and R. S. Tucker, {"}Energy consumption in access networks,{"} in Proc. Opt. Fiber Commun./Nat. Fiber Opt. Eng. Conf. (OFC)/(NFOEC), San Diego, CA, Feb. 2008 [Online]. Available: http://ieeexplore.ieee.org/xpl/freeabs-all.jsp? arnumber=4519173 R. S. Tucker. Modelling Energy Consumption in IP Networks. In Cisco Green Research Symposium, 2008 R. Gaudino, D. C{\'a}rdenas, M. Bellec, B. Charbonnier, N. Evanno, P. Guignard, S. Meyer, A. Pizzinat, I. M{\"o}llers, and D. J{\"a}ger, {"}Perspective in next-generation home networks: Toward optical solutions?,{"} IEEE Comm. Mag., vol. 48, no. 2, pp. 39-47, Feb. 2010. V. Jain, G. Parr, P. Morrow, and M. Polaine {"}Intelligent Energy Efficient Network Management Across the Access Networks to CPE Pathway{"}, 12th IFIP/IEEE, International Symposium on integrated Network Management Dublin, Ireland, May 2011 J. Chabarek, J. Sommers, P. Barford, C. Estan, D. Tsiang, and S. Wright, {"}Power Awareness in Network Design and Routing,{"} in Proc. IEEE INFOCOM, 2008. L. A. Barroso and U. H{\"o}lzle. The case for energy-proportional computing. Computer, 40(12):33-37, 2007.; International Green Computing Conference and Workshops ; Conference date: 01-09-2011",

year = "2011",

month = sep,

day = "1",

doi = "10.1109/IGCC.2011.6008587",

language = "English",

isbn = "978-1-4577-1222-7 (print)",

booktitle = "Unknown Host Publication",

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T1 - Multi-level Power and Performance Tradeoffs Across the Access Networks to Customer Premises Equipment

AU - Jain, Varsha

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AU - Morrow, Philip

AU - Polaine, M

N1 - Reference text: GeSI, "Smart 2020: Enabling the low carbon economy in the information age," London, U.K., 2008. [Online]. Available: http://www.smart2020.org/-assets/files/ Code of conduct on energy consumption of broadband equipment. , October 2009. [Online]. Available: http://re.jrc.ec.europa.eu/energyefficiency Cisco. (2009). Cisco visual networking index: Forecast and methodology, 2009-2014.White paper. [Online]. Available: http://www.cisco.com. C. Gunaratne, K. Christensen, B. Nordman, and S. Suen.Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR). IEEE Trans. Comput.,57(4):448-461, 2008. (Pubitemid 351411555) A. Vahdat et al. Every joule is precious: The case for revisiting operating system design for power efficiency. In 9th ACM SIGOPS European Workshop, 2007 M. Gupta, S. Grover, and S. Singh. A Feasibility Study for Power Management in LAN Switches. In ICNP, 2004. M. Steinder, I. Whalley, J.E. Hanson, and J.O. Kephart. Coordinated management of power usage and runtime performance. In IEEE Network Operations and Managament Symposium (NOMS), pages 387-394, April 2008. B. Khargharia, S. Hariri, and M. Yousif. Autonomic power and performance management for computing systems. Cluster Computing, 11(2):167{181}, 2008. (Pubitemid 351411542) Home gateway initiative Requirement for an energy efficient home gateway October 2010. [Online]. Available: www.homegatewayinitiative.org/ Aman Kansal, Jie Liu, Abhishek Singh, Ripal Nathuji, and Tarek Abdelzaher, "Semantic-less Coordination of Power Management and Application Performance", in Hotpower 2009 (co-located with SOSP 2009), USENIX, 10 October 2009. J. O. Kephart et al. Coordinating multiple autonomic managers to achieve specified power-performance tradeoffs.In Proc. of ICAC-07, 2007. C. Cicconetti, C. Eklund, L. Lenzini, and E. Mingozzi, "Reducing Power Consumption with QoS Constraints in IEEE 802.16e Wireless Networks," IEEE Network Magazine, vol. 9, no. 7, July. 2010. S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall. Reducing Network Energy Consumption via Sleeping and Rate-Adaptation. In NSDI, 2008. Home gateway initiative: QoS white paper, 2009. [Online]. Available: www.homegatewayinitiative.org/publis/HGI-GD013-R2.pdf M. Dischinger, A. Haeberlen, K. P. Gummadi, and S. Saroiu. Characterizing residential broadband networks. In IMC ?07: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, pages 43-56, New York, NY, USA, ACM, 2007. OPNET network Simulation. [Online]. Available: Sept, 2010 www.opnet.com/. J. Baliga, R. Ayre, W. V. Sorin, K. Hinton, and R. S. Tucker, "Energy consumption in access networks," in Proc. Opt. Fiber Commun./Nat. Fiber Opt. Eng. Conf. (OFC)/(NFOEC), San Diego, CA, Feb. 2008 [Online]. Available: http://ieeexplore.ieee.org/xpl/freeabs-all.jsp? arnumber=4519173 R. S. Tucker. Modelling Energy Consumption in IP Networks. In Cisco Green Research Symposium, 2008 R. Gaudino, D. Cárdenas, M. Bellec, B. Charbonnier, N. Evanno, P. Guignard, S. Meyer, A. Pizzinat, I. Möllers, and D. Jäger, "Perspective in next-generation home networks: Toward optical solutions?," IEEE Comm. Mag., vol. 48, no. 2, pp. 39-47, Feb. 2010. V. Jain, G. Parr, P. Morrow, and M. Polaine "Intelligent Energy Efficient Network Management Across the Access Networks to CPE Pathway", 12th IFIP/IEEE, International Symposium on integrated Network Management Dublin, Ireland, May 2011 J. Chabarek, J. Sommers, P. Barford, C. Estan, D. Tsiang, and S. Wright, "Power Awareness in Network Design and Routing," in Proc. IEEE INFOCOM, 2008. L. A. Barroso and U. Hölzle. The case for energy-proportional computing. Computer, 40(12):33-37, 2007.

PY - 2011/9/1

Y1 - 2011/9/1

N2 - Across broadband access networks, significant opportunities to minimise energy consumption exist at the application and networks level but are not fully coordinated. For example, an application can tune its QoS in accordance with the available power levels of network systems. As a first step towards enabling energy efficiency, we study the interrelationship between energy consumption and application performance in a residential home-gateway. The study reveals the power and application performance trade-offs in broadband access networks and then employs an agent based approach that works together in accordance with a flexible set of power-performance objectives and determines the existence of a feasible coordinated operating point. The key elements of our approach include (a) a power-performance polygon-based methodology which automatically selects power management settings that keep the pathway from access network to homegateway operating close to the optimal operating point (b) a multi-agent policy-based approach which adaptively manages performance and power consumption based on varying traffic load during peak/off-peak hours. Finally, the efficiency of the model is demonstrated by the initial results of the experiments.

AB - Across broadband access networks, significant opportunities to minimise energy consumption exist at the application and networks level but are not fully coordinated. For example, an application can tune its QoS in accordance with the available power levels of network systems. As a first step towards enabling energy efficiency, we study the interrelationship between energy consumption and application performance in a residential home-gateway. The study reveals the power and application performance trade-offs in broadband access networks and then employs an agent based approach that works together in accordance with a flexible set of power-performance objectives and determines the existence of a feasible coordinated operating point. The key elements of our approach include (a) a power-performance polygon-based methodology which automatically selects power management settings that keep the pathway from access network to homegateway operating close to the optimal operating point (b) a multi-agent policy-based approach which adaptively manages performance and power consumption based on varying traffic load during peak/off-peak hours. Finally, the efficiency of the model is demonstrated by the initial results of the experiments.

KW - ADSL

KW - Access Networks

KW - Autonomic Network Management

KW - Coordination

KW - Performance

KW - Power Management

KW - Residential Home-Gateway

KW - WiMAX

U2 - 10.1109/IGCC.2011.6008587

DO - 10.1109/IGCC.2011.6008587

M3 - Conference contribution

SN - 978-1-4577-1222-7 (print)

BT - Unknown Host Publication

PB - IEEE

T2 - International Green Computing Conference and Workshops

Y2 - 1 September 2011

ER -

Multi-level Power and Performance Tradeoffs Across the Access Networks to Customer Premises Equipment

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

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