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Energy Profiling of ISP Points of Presence

Edoardo Bonetto , Marco Mellia , Michela Meo , @Politecnico di Torino Riccardo Fiandra , Serafino Centenaro @ Fastweb. Energy Profiling of ISP Points of Presence. TREND: a NoE on green networking. Politecnico di Torino Universidad Carlos III de Madrid

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Energy Profiling of ISP Points of Presence

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  1. Cost TMA Meeting Lisbon, 27-28 October 2011 EdoardoBonetto, Marco Mellia, MichelaMeo, @Politecnico di Torino Riccardo Fiandra, SerafinoCentenaro @Fastweb Energy Profiling of ISP Points of Presence

  2. TREND: a NoE on green networking Politecnico di Torino Universidad Carlos III de Madrid Interdisciplinary Institute for Broadband Technology TechnischeUniversitat Berlin EcolePolytechniqueFederale de Lausanne ConsorzioInteruniversitario per le Telecomunicazioni PanepistimioThessalias Alcatel- Lucent Bell Labs France Huawei Technologies Duesseldorf GmbH TelefonicaInvestigacion Y Desarrollo SA France Telecom SA FASTWEB SPA Academic Manufacturers Operators 2 Cost TMA Meeting Lisbon, 27-28 October 2011

  3. What is the problem? “ICT alone is responsible of a percentage which vary from 2% to 10% of the world power consumption.” “Electricity demand of ICT is almost 11% of the overall final electricity consumption in Germany.” “ICT sector produces some 2 to 3% of total emissions of greenhouse gases.” 3 Cost TMA Meeting Lisbon, 27-28 October 2011

  4. What is the problem?Cost and sustainability Expected to double in 10 year! Focus on NETWORKING Source: M. Pickavet et al, “Worldwide Energy Needs for ICT: the Rise of Power-Aware Networking,” in IEEE ANTS Conference, Bombay, India, Dec. 2008. 4 Cost TMA Meeting Lisbon, 27-28 October 2011

  5. What is our objective? Propose approaches to improve energy efficiency of existing networks by at least 20% Integrationof the EU research community in green networking; in the long termconsolidate the European leadership in the field 5 Cost TMA Meeting Lisbon, 27-28 October 2011

  6. Start from data… • Derive reliable, updated data and models about consumption and traffic 6 Cost TMA Meeting Lisbon, 27-28 October 2011

  7. Outline • Introduction • FASTWEB – Energy Management system • Energy profiling of PoPs • Versus external temperature • Versus traffic load • Energy saving strategies • Traffic analysis • Energy saving models Cost TMA Meeting Lisbon, 27-28 October 2011

  8. Outline • Introduction • FASTWEB – Energy Management system • Energy profiling of PoPs • Versus external temperature • Versus traffic load • Energy saving strategies • Traffic analysis • Energy saving models Cost TMA Meeting Lisbon, 27-28 October 2011

  9. FASTWEB – Energy Management System FASTWEB is collecting energy consumption data from most of its facilities: network equipment sites, offices, server farms. As detailed next a comprehensive view of energy consumption is achieved. Currently no separation between air conditioning and equipment. FASTWEB - Office FASTWEB IP Network Energy Management Data Center Pop Schneider Electric PowerLogic ION-EEM System Technical site Cost TMA Meeting Lisbon, 27-28 October 2011

  10. Energy Management System: typical site setup General cabinet R S T N Energy Supervision cabinet PM750 Current transformer POD Point of distribution Power meter RS485 bus FASTWEB IP Network EGX300 Logger • 10/100Base-Tx Ethernet Switch POP Cost TMA Meeting Lisbon, 27-28 October 2011

  11. Introduction • Energy break down of Fastweb, measured on all their systems • PoP includes all systems in the Points of Presence • Total energy bill 118GWh = 10MEuros/y • PoP amount to ~3MEuros/y Network consumption contribute comprises Catalyst, MiniPOP and Long Distance sites Cost TMA Meeting Lisbon, 27-28 October 2011

  12. Outline • Introduction • FASTWEB – Energy Management system • Energy profiling of PoPs • Versus external temperature • Versus traffic load • Energy saving strategies • Traffic analysis • Energy saving models Cost TMA Meeting Lisbon, 27-28 October 2011

  13. Energy profiling of PoPs • We selected a heterogeneous subset of PoPs: • And we study the correlation of energy consumption with i) external temperature, ii) traffic, iii) air conditioning system Cost TMA Meeting Lisbon, 27-28 October 2011

  14. Energy / external temperature versus time PoP A PoP B • Energy and temperature are correlated for PoP A (free cooling), while for PoP B they are almost independent (normal heat pump) • System upgrade affects PoP B Cost TMA Meeting Lisbon, 27-28 October 2011

  15. Energy – temperature correlation PoP A PoP B • Linear interpolation of normalized data allows to numerically evaluate the correlation of each PoP • Larger is the coefficient λ, larger is the correlation • PoP A has a larger correlation than PoP B Cost TMA Meeting Lisbon, 27-28 October 2011

  16. Energy – traffic correlation PoP A PoP B • Analyzing the energy – traffic correlation we find out that there is no or little correlation • This is expected since current device consumption is not energy proportional Cost TMA Meeting Lisbon, 27-28 October 2011

  17. Energy/traffic versus time: smaller time scale Spikes are due to the air conditioner compressors that kick in when free cooling conditioning does not guarantee enough cooling capacity PoP A • Independence between energy and traffic is confirmed Cost TMA Meeting Lisbon, 27-28 October 2011

  18. Energy/traffic versus time Periodic behavior of the energy due to the cycles of the air conditioner compressors PoP B • Different cooling system have different energy profiles Cost TMA Meeting Lisbon, 27-28 October 2011

  19. Outline • Introduction • FASTWEB – Energy Management system • Energy profiling of PoPs • Versus external temperature • Versus traffic load • Energy saving strategies • Traffic analysis • Energy saving models Cost TMA Meeting Lisbon, 27-28 October 2011

  20. Energy saving strategies • Today the PoP energy consumption is independent from the traffic • How much would energy proportionality help? • This will depend on how much traffic varies during the day/night cycle… • What if there is a linear proportionality? • What if there is a limited proportionality (e.g., high and low state)? Cost TMA Meeting Lisbon, 27-28 October 2011

  21. Traffic dynamics during a week • The traffic follows a night / day periodicity and there are just small differences among the days • This behavior is similar for every PoP Cost TMA Meeting Lisbon, 27-28 October 2011

  22. Traffic distribution for every PoP • Traffic distribution for the three months of available measures • Traffic distributions have a very similar behavior, in spite of the different PoP characteristics Cost TMA Meeting Lisbon, 27-28 October 2011

  23. PoP energy saving models • Consider now three possible models for energy proportionality • Linear proportionality of energy consumption versus traffic • Resource consolidation with two operating configurations • Resource consolidation with three operating configurations • We assume normalized energy and traffic • energy and traffic can range from 0 to 1 • energy consumption of current technology is equal to 1 Cost TMA Meeting Lisbon, 27-28 October 2011

  24. Linear proportional energy consumption • The energy consumption is directly proportional to the traffic load where is the energy consumed when the traffic load is is the variable component of the consumed energy is the static energy consumption Cost TMA Meeting Lisbon, 27-28 October 2011

  25. Linear proportional energy consumption (2) Cost TMA Meeting Lisbon, 27-28 October 2011

  26. Resource consolidation with two operating configurations • Technology allows two configurations depending on the actual traffic load • High capacity – high energy consumption • Low capacity – low energy consumption Cost TMA Meeting Lisbon, 27-28 October 2011

  27. Resource consolidation with two operating configurations (2) • Energy saving depends on the amount of time spent in low configuration state • Therefore the value of the threshold is important to determine the convenience of this model. Cost TMA Meeting Lisbon, 27-28 October 2011

  28. Resource consolidation with three operating configurations • Similarly to the previous model, but the PoP can operate in low, medium and high configurations Cost TMA Meeting Lisbon, 27-28 October 2011

  29. Resource consolidation with three operating configurations (2) • Example: l=m/2 • Larger savings respect to the two configuration case Cost TMA Meeting Lisbon, 27-28 October 2011

  30. Resource consolidation with three operating configurations (3) • The achieved energy saving strongly depends on thresholds Cost TMA Meeting Lisbon, 27-28 October 2011

  31. Optimal energy savings comparison • Best result for linear proportional, but it is a solution in the long term • Interesting results for resource consolidation models, more likely to be implemented in the near future Cost TMA Meeting Lisbon, 27-28 October 2011

  32. Obrigado Perguntas?? Cost TMA Meeting Lisbon, 27-28 October 2011

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