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Published byGiles Tobias Davidson Modified over 6 years ago
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Enabling Ultra Low Latency Applications Over Ethernet
Grant Kirkwood Chief Technology Officer Mzima Networks
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Services are fast becoming packet-based
Residential Digital broadcast IPTV, VoIP Internet video gaming Circuit-switched voice and broadcast video Enterprise Ethernet Services Virtual circuits IP PBX VoIP Dedicated connections T1/T3, FR, ATM Digital PBX Wireless Data optimized Video enabled 3G/4G/WiMax Voice optimized 2G network
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Services are stream-based, not packet-based
Digital broadcast IPTV, VoIP Internet video gaming Ethernet Services Virtual circuits IP PBX VoIP Data optimized Video enabled 3G/4G/WiMax
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Services are stream-based, not packet-based
Voice, video and other services – streams of data Internet Protocol (IP) relies on small packets, not streams of data Digital broadcast IPTV, VoIP Internet video gaming Ethernet Services Virtual circuits IP PBX VoIP Data optimized Video enabled 3G/4G/WiMax
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IP Networks designed to carry “best effort” traffic
, web browsing, “instant” messaging…. Applications are not time-sensitive. Networks designed to carry packet-based data are now being asked to carry streaming data
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Perceived value has shifted from service provider to application provider
Enterprise Consumer Penetration of Ethernet, fiber, collaboration, and interactive video Increased workforce mobility requiring seamless access Maturing virtualization, cloud-based applications & telepresence Maturity of multiservice offerings Increased mobile data penetration and improved ease of use Growing adoption of online video and Web 2.0 applications
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New applications created daily
Applications become more and more sensitive to network conditions QoS policies are being created to support these technologies An increasing number of QoS policies are creating challenges for service providers
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Service provider realities
Traffic keeps growing … 66 Tbps 2007 134 Tbps 2011 Consumer Enterprise 56 Tbps 101 Tbps 33 Tbps * * Source: McKinsey & Company 10 Tbps But revenue growth is slowing 2004 2006 2008 2010 10% 20% 30% 41% 3% 7% 13% -5% -3% -1% 4% Broadband Wireless Wireline ** ** Sources: Yankee Group and Pyramid Research
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real-time services with
How do we deliver real-time services with carrier-grade QoS?
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QoS Model
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Ethernet Performance Metrics
Packet Loss Latency Jitter
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Ethernet Performance Metrics
Jitter Packet Loss Latency
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Ethernet Performance Metrics
Jitter Packet Loss Latency
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Ethernet Performance Metrics
Different applications are sensitive to different performance metrics
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Class/Quality of Service
QoS/CoS
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QoS Model
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Methods to separate traffic into different “buckets” or QoS policies
QoS Model Methods to separate traffic into different “buckets” or QoS policies
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“FIFO” is not intelligent ordering Order by priority
QoS Model “FIFO” is not intelligent ordering Order by priority
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Drop packets for applications not sensitive to packet loss
QoS Model Non-stream services Drop packets for applications not sensitive to packet loss
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QoS Model Size throughput to availability
Limit/buffer traffic that won’t be impacted by policing
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QoS Model
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QoS Model
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Policing vs Classifying
Bandwidth policing is “dumb” Metering drops packets without discretion Congestion causes buffering (on routers) Buffering causes latency Each application sensitive to specific metrics Key is accurate classification
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End to end QoS Schedule Transmit VoIP Gold Silver Best Effort
Classification/Policing Schedule Transmit VoIP Gold Gold VoIP Silver Silver Gold VoIP Silver Best Effort
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End to end QoS End-to-end QoS requires a technology that exists end-to-end Difficult to achieve in multi-vendor, multi-carrier or multi-technology networks New technologies are being developed to address this limitation
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Mzima Case Study Problem: provide true Carrier Ethernet
Differentiate product from other carriers Provide End-to-End QoS Carry carrier-grade Services Application-level granularity of QoS profiles Meet requirements of true Carrier Ethernet
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Mzima Case Study
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Mzima Case Study VLAN bridging or tunneling Layer 2 MPLS Layer 3 MPLS
PBB-TE
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PBB-TE Provider Backbone Bridge – Traffic Engineering End-to-End QoS
Stringent performance metrics First Carrier Ethernet protocol not integrated into a layer 3 protocol (MPLS)
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Y.1731 Performance Management
PBB-TE Tunnel Performance Management Y.1731 Performance Management PRIMARY PBB-TE BCBs PBB-TE BEB PBB-TE BEB BACKUP PBB-TE with Y.1731 Performance Management Performance Management between Tunnel Endpoints Provides Service Independent Tunnel Monitoring Enhanced Scalability as 1,000’s of services may traverse the tunnel without the need to monitor every service Leverages 802.1ag frames for reduced overhead Multiple packets sent at 100ms interval to perform the test Frame Delay / Frame Delay Variation / Loss Measurement 2-way Delay Roundtrip Measurement 1-way Delay Measurement (requires common time base) Single Ended Frame-Loss (MEP to MEP)
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Management Plane: Y.1731 Round trip delay/jitter and single ended frame loss (MEP to MEP) Non-Service Affecting Utilizes IEEE 802.1ag format frames for test packets Unicast messages to a specific MEP Multiple packets sent at 100ms interval to perform the test Delay, Jitter, and Frame Loss measurements Test results remain until the next test is run or until reboot of switch MIPs do not participate in delay/jitter/frame loss measurements MEP 12 MIP 802.1ag CCMs MEP 10 MEP 11 MIP MIP
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Thank You
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