low Energy COnsumption NETworks

Transcription

1 low Energy COnsumption NETworks (ECONET) Smart power management for fixed network devices ETSI Workshop on Energy Efficiency Genova 21st June 2012

2 The Project Motivations and Focus x 10 Static energy efficiency Greenhouse gas emission estimation according to GeSI enhancement is not sufficient. Evolution from 1993 to 2010 of routers capacity vs. traffic volumes (Moore s law) and energy efficiency in silicon technologies. SOURCE: G. Epps, Cisco Systems, Dynamic power management is required. ETSI EE Workshop - Genoa July Ericsson Internal Page 2

3 Technology focus ETSI EE Workshop - Genoa July Ericsson Internal Page 3 Standard operations Idle logic Power scaling Idle+ power scaling Full Load Energyprofile Idle DynamicAdaptation Standby Smart Standby Device Workload Wakeup and sleeping times Increased service times Wakeup and sleeping + increased service times Energy Consumption Re-Engineering ECONET Dynamic Adaptation Energy-efficient Silicon Complexity Reduction Performance Scaling Idle Logic Smart Standby ProxyingNetwork Presence Virtualization R.Bolla, R. Bruschi, F. Cucchietti, F. Davoli, Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy- Aware Fixed Network Infrastructures, IEEE Commun. Surveys & Tut., accepted for the publication, 2010

4 ECONET and related green ICT fields ETSI EE Workshop - Genoa July Ericsson Internal Page 4

5 ECONET - Vision and research threads Green Control framework Abstraction & interfaces Energy-aware networkspecific technologies at Data-Plane Local control policies Network-wide control protocols Standard interfaces Energy aware monitoring & OAM Dynamic power scaling Smart standby Network requirements (QoS, availability, reliability, etc.) Energy-aware HW ETSI EE Workshop - Genoa July Ericsson Internal Page 5

6 GAL - Key Enabler Smart standardization is required to enable efficient and network-wide dynamic power management ETSI EE Workshop - Genoa July Ericsson Internal Page 6

7 GAL - An example Algorithms for power optimization e.g., minimize power consumption according to constrained QoS Management and Control Plane Processes Possible Configurations In termsof consumptionand network performance parameters Set the Right Configuration Energy consumption GAL measures Data Plane HW Elements Configurations described in terms of «states» A state isa stableconfigurationof the data planehw Packet Forwarding ETSI EE Workshop - Genoa July Ericsson Internal Page 7

8 The GAL Hierarchical Architecture ETSI EE Workshop - Genoa July Ericsson Internal Page 8

9 GAL - Standardisation challenge A suitable standard definition of the GAL must consider: The presence and the main features of multiple and heterogeneous internal components with energy adaptation and monitoring capabilities; Heterogeneous and modular architectures where these internal components are usually embedded, and, consequently how they may depend and interact among themselves; Providing methodologies for aggregating all the information from single internal components at a number of given resolution levels (e.g., single component, link-, line-card-, chassis-, node- and network-level); Characterizing the effect of putting components in a certain energy configuration in terms of power consumption and network performance; Defining how local control strategies acting at various levels (network processor-, line-card-, chassis-level, etc.) have to be managed with respect to the GAL itself, and other typologies of control frameworks. ETSI EE Workshop - Genoa July Ericsson Internal Page 9

10 The GAL Standardisation: proposed areas Power Management Capabilities Power Scaling Adaptive Rate (AR), Low Power Idle (LPI) Standby Operational Behaviors The energy-aware capabilities can have different operational behaviors. Some aspects may be managed by control processes external to the entity, some others by the entity itself in an autonomic way depending on its workload. Data-Plane Autonomic (DPA), Control-Plane Controllable (CPC) Definition of Energy-aware States Energy-aware states are represented by a complex data type, which contains indications on the power consumption, the performance, the available functionalities, and the responsiveness of the entity when working in such configuration. ETSI EE Workshop - Genoa July Ericsson Internal Page 10

11 ETSI EE Workshop - Genoa July Ericsson Internal Page 11 Q&A