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

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Jain, Varsha, Parr, Gerard, Morrow, Philip and Polaine, M (2011) Multi-level Power and Performance Tradeoffs Across the Access Networks to Customer Premises Equipment. In: International Green Computing Conference and Workshops, Florida, USA. IEEE. 6 pp. [Conference contribution]

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DOI: 10.1109/IGCC.2011.6008587

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.

Item Type:Conference contribution (Paper)
Keywords:ADSL , Access Networks , Autonomic Network Management , Coordination , Performance , Power Management , Residential Home-Gateway , WiMAX
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:22006
Deposited By:Dr Cathryn Peoples
Deposited On:08 May 2012 16:05
Last Modified:08 May 2012 16:05

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