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  • 1. Greening your Edge Are you a power savior or a power pig? Francois Lemarchand <francois.lemarchand@ericsson.com>
  • 2. An Initial take: Per node power consumption 14000 12000 10000 8000 6000 4000 2000 0 DSLAM Aggregation Edge Core Most savings appear at first to be done on the Core Nodes © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 3. Looking at efficiency: Power versus bandwidth 120 * A given flow will need to cross multiple of these nodes in the network Driven by DSL 100 loop modulation 80 Driven by high touch service processing 60 40 20 0 DSLAM * Aggregation Edge Core* But the biggest potential probably lies into the access layer © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 4. Silicon process evolution only compensate bandwidth growth › Each generation of silicon process brings twice the amount of transistor logic in the same cost / footprint / power. – This could mean halving the power consumption every 2 years – But the Internet and data bandwidth consumption is following the same pattern (rough doubling every two years) – Market pressure has caused to reinvest this capital in network performance instead of power savings Technology will bring significant bandwidth efficiency © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 5. Power savvy technology design is need for a visible change › The key is to dynamically put to idle unused capacity – CPU manufacturer have shown the potential of this option. It will come to Network Processor over time: › Semi dynamic: i.e. putting down to idle backup linecards / or silicon handling specific port group › Fully dynamic: Clock / power adjustment based on dynamic traffic load › At the network level critical savings are must come from the access – High promises from adaptive DSL modulation Node level power savings are dependant from innovations © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 6. Network architecture optimization › Optimization of the power consumption of individual nodes lead to significant Opex savings – I.e. Loaded cost of KW/H per year up to $2000 – 5KW node over 5 years = $50K › Optimization of the network architecture can lead to additional Opex but also Capex savings › While node level optimization is dependant on the vendors roadmap the operators are in full control of the network architecture
  • 7. Cost/POWER per bit hierarchy Optimize network complexity Mobile Voice Video Internet Enterprise VPN Enterprise ELINE, ELAN Legacy ATM / TDM transport › Service Node – L3/L4/L5 service point: Fixed (BNG) or PGW SBG CDN DPI IPS Mobile packet GW, Enterprise L3PE w/Security, Video Edge IP Services (Subscribers, IP Flows, Application) w/Caching etc… › L3 Edge / Border Node: L2 termination and IP transport IP Routing, L3VPN › L2 Edge / BN: L2 service point: PWE ingress/egress, PWE / CES / Bridging L2 interworking, QoS, security MPLS › Core / Transport Node: pure MPLS L2 switching, no edge services. › Optical L1 moving to Optical © Ericsson AB 2010 | Ericsson Internal | Aggregation Routing Strategy (draft12) | 17 feb 2010 OOO ROADM
  • 8. Core to access scale factor Increased returns in the outer ring 1-10,000’s of Aggregation nodes 10-100,000’s of Access nodes 100-1000’s of Service Edge nodes 10-100’s of Core routers & optical switches Millions of connections, devices © Ericsson AB 2010 | Ericsson Internal | Aggregation Routing Strategy (draft12) | 17 feb 2010
  • 9. Fully Consolidated Edge Model another angle at power savings Users & Access IP Edge Services Devices Mobility Functions DPI Functions Internet & VOD BRAS Functions Video/IPTV SBC Functions VoIP Eth Agg Functions L2/L3 VPN L3 PE Functions Servers L2 PE Functions Mobile Services Need to balance consolidation with induced operational impacts
  • 10. Intelligence placement balance scalability and power cost + Capex - Peering opt. intelligence + Opex - Content opt. BW per node Sweet Spot # of Nodes › Over time centralized intelligent functions had been distributed further toward the edge in order to scale with the bandwidth constraints. But it needs to be balanced by the induced opex and capex and power efficiency cost. › Technology improvements do not change fundamentally that balance – Allow to build smarter functions with limited cost impact on the access nodes – But also allows to build bigger Service Nodes for the same price – Besides BW intelligence level also keeps increasing (LI, DPI, Mobility, v6, NAT…) Keeping the aggregation/access simple optimizes the power © Ericsson AB 2010 | Ericsson Internal | Aggregation Routing Strategy (draft12) | 17 feb 2010
  • 11. Transport & Metro convergence Packet optical transport (POTP) Fixed GW Native packet mux & mcast L2PE L2PE PGW/RNC Core Core T3CO L2PE L2PE Cell site T2CO Enter. L2L3 T2CO T1CO S PoP T3CO Core Core T3CO T2CO T1CO S PoP T3CO T2CO IP/MPLS routing Packet & Optical Transport Platform All Optical transport 10,000’s+ T3CO’s 10,000’s T2CO’s 1000’s T1 CO’s 100’s Service PoPs 10’s Core PoPs Few National PoPs › Provides the BW efficiency of packet based multiplexing in the transport layer for native packet services or emulated TDM circuits › Allows to subsume overlay metro network capabilities into the transport layer – a single layer of transport equipment to carry enterprise, residential, fixed, mobile and wholesale traffic. › Running a single integrated control plane / NMS across the packet and optical layer allows to optimize the mapping between the optical resources and the packet network transit © Ericsson AB 2010 | Ericsson Internal | Aggregation Routing Strategy (draft12) | 17 feb 2010
  • 12. Optimize packet with optical But avoids the overlay Model L3PE L3PE L3PE OTN switch MPLS Internet Peering SDH/OTN Optical › OTN layers allows to efficiently multiplex packet and TDM transparent services into the same lambda. › As packet services are becoming predominant it makes sense to map them directly over a lambda – integrating the WDM/OTN optics directly into the packet switching function to optimize the processing › Further optimizations are possible by doing a selective bypass of certain traffic flows (i.e. toward centralized video hosting or internet peering points) © Ericsson AB 2010 | Ericsson Internal | Aggregation Routing Strategy (draft12) | 17 feb 2010
  • 13. There is an elephant in the room capex is in but the opex is out? DSL Routing Firewall VOIP/SIP WIFI = 10-15W Modem NAT Home Gateway Set Top Box MPEG decoder Hard Drive = 15-20W › Over time the home gateway has grown in functionality / complexity. Today’s home GW can consume up to 15W. With the introduction of IPTV decoders the power per home is rising to the 20-30W range. › Today’s HGW & STB have received a limited focus on developing power savings versus functionalities => always on › It is urgent to introduce power saving functions © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 14. What does it mean when applied to the 70M US Broadband lines? 2 Millions Households powered during a year 10 Millions Tons of Co2 emission © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 15. Power Per subscriber Access drives 95% of the power 35 95% of fixed 30 broadband network power consumption 25 20 5% power 15 Epsilon 10 5 1W 0.01W 0.0001W 0 Home DSLAM Edge Core How do drive back household power requirements? © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 16. Simplification of the home 1/4 Network based VOIP GW function POTS phone Network SIP Client HGW based SIP integration in the client MSAN Aggregation Network @ HGW Access Node BNG Edge STB › A number of operators have chosen to integrate the VOIP client into the Home GW. But centralization into a network equipement such as the MSAN can provide significant opex & power savings › It also facilitates the migration of the fixed voice customer to a cost effective VOIP access GW. © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 17. Simplification of the home 1/4 Carrier Grade NAT and Bridge HGW Configuration as transparent bridge Private IPv4 to Carrier Grade NAT public IPv4 NAT At the BNG Aggregation Network @ HGW Access Node BNG Edge STB › In order to address IPv4 address depletion carriers will progressively introduce a network based NAT function to allows sharing of NAT public pools between more customers (native IPv6 in the longer term) › This provides an opportunity to simplified the HGW and perform L3/L4 functions at the BNG Edge instead. HGW back to a bridge modem. © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 18. Simplification of the home 1/4 Network based PVR Network PVR Aggregation Network @ HGW Personal PVR Access Node BNG Edge STB › Network based PVR & Catch’up TV functions get an increased level of popularity and acceptance by the content providers › Incidentally it also provides significant capex, opex and power reduction by removing the requirement to support hard drive and recording functions on the STB. © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 19. Simplification of the home 1/4 Open IPTV & Native IPTV clients Aggregation Network @ TV with integrated IPTV capabilities HGW Access Node BNG Edge X STB › There is a growing commitment of the industry – Service Providers, Telecom Vendors & Consumer electronic companies to support standard IPTV specifications and interfaces (Open IPTV Forum) › One of the benefit is to allow the TV set providers to integrate native IPTV functions into the TV set – and for operators to suppress STB © Ericsson AB 2009 | Ericsson Internal | X (X) | Date
  • 20. Green your access it starts at the Edge › Vendors will gradually introduce green technology design over time › Operators should consider their network architecture design with an holistic approach to bring power / capex and opex savings. › Priorities must be set to the home / access / aggregation where volumes can drive the most significant savings › The IP Edge is as a power saving enabler – key to simplify the architecture of the home, access and aggregation layers.

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