SlideShare ist ein Scribd-Unternehmen logo
1 von 28
 
 
Yoav Cohen Senior Standards Specialist,  Nokia Siemens Networks [email_address]
Agenda ,[object Object],[object Object]
Class of Service Alignment - MEF 23 ,[object Object],[object Object],[object Object],Class of Service Class of Service End-to-end Class of Service  Operator 1 Service Provider 1 Operator 2 Service Provider 2 Subscriber Subscriber Carrier Ethernet Network Carrier Ethernet Network Class of Service Alignment
MEF Global Interconnect Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Interconnect Work Completed: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Related Work in Progress:
Scope & Applicability ,[object Object],[object Object],[object Object],[object Object],UNI Carrier Ethernet CoS IA Application Point (recommended PCP/DSCP values, mandatory Performance Objectives) ENNI Carrier Ethernet CoS IA Application Point (mandatory PCP Values if 802.1ad and mandatory Performance Objectives) CE CE Multi-MEN Multipoint EVC Multipoint EVC Point-Point EVC MEN MEN MEN 2 MEN 1 UNI UNI CE CE CE CE UNI UNI UNI UNI UNI UNI Multi-MEN Point-Point EVC MEN 2 MEN 1 CE CE UNI UNI ENNI
MEF 23 in a Nutshell ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Three CoS Model - Framework Table 2: Three CoS Model Table  CoS Label  EVC Type FD  FDV  FLR  Ingress UNI Band-width Profile Con-straints  3 PCP /  PHB (DSCP) CoS and Color Identifiers  1 PCP / PHB (DSCP) CoS-only Identifiers  1 Example Applica-tions Color Green  Color Yellow 2 w/DEI H Pt-Pt A FD A FDV   A FLR   CIR>0 EIR  0  4 CF=0  5 /  EF (46)  N/S in Phase 1 5 /  EF (46)  VoIP and Backhaul Control Multipt A FD ΄   A FDV ΄  A FLR ΄   M  Pt-Pt B FD   B FDV  B FLR  CIR>0 EIR  0 3 /  AF31 (26) 2 /  AF32 (28) or AF33 (30)  2-3 /  AF31-33 (26, 28, 30) Near-Real-Time or Critical Data Apps Multipt B FD ΄  B FDV ΄   B FLR ΄   L Pt-Pt C FD  C FDV  C FLR  CIR  0 EIR  0  5   1 /  AF11 (10) 0  /  AF12 (12), AF13 (14) or Default (0) 0-1 /  AF11-13 (10, 12, 14)  or Default (0) TBD in future Phase Multipt C FD ΄   C FDV ΄   C FLR ΄
Mapping the CoS Model at an ENNI ,[object Object],[object Object],[object Object],* Each CoS Label associated with particular CPO Without MEF CoS IA: MENs requires bilateral agreements at each ENNI. Customers may not get consistent QoS treatment With MEF CoS IA: MENs remark frames on egress of an ENNI to align based on standardized MEF CoS indications.  Other mappings are possible, e.g., CoS “Heart” mapping option to a MEF CoS or to a MEN specific CoS based on bilateral agreement. CoS Rock CoS Paper CoS Scissors CoS Plus CoS Square CoS Heart CoS Coal CoS Mapping? CoS Rock CoS Paper CoS Scissors CoS Plus CoS Square CoS Heart CoS Coal CoS Medium* CoS High* CoS Low* MEN 2 MEN 1 CE CE UNI UNI ENNI
Example: C-Tag PCP Mappings ,[object Object],[object Object],[object Object],Example PCP Mapping for Multi-CoS EVC Supporting Only Standard Classes of Service at UNI – “Router-Application-Friendly” mapping MEF CoS Combination Supported on EVC PCP Mapping per Class of Service - Color Blind Mode H M L {H + M + L} 5 2-4, 6, 7 0, 1 {H + M} 5 0-4, 6, 7 N/A {H + L} 5 N/A 0-4, 6, 7 {M + L} N/A 2-7 0, 1
Delivering SLAs – overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bandwidth Profile Bandwidth Profile  is a characterization of Ethernet frames – e.g., frames from a customer into a UNI ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Bandwidth Profile Model
Class of Service Phase 2 (MEF 23.1) ,[object Object],[object Object],[object Object],MEN A MEN B MEN A OVC OVC EVC UNI UNI UNI UNI ENNI Quantitative Delay, Jitter, Loss objectives Quantitative Delay, Jitter, Loss objectives Quantitative Delay, Jitter, Loss objectives ,[object Object],DRAFT
Performance Tiers and CoS Performance Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object]
Three CoS Model Using Frame Marking MEF 23.1 Table 4: Three CoS Model Table  DRAFT DRAFT CoS Label  CoS and Color Identifiers  C-Tag PCP PHB (DSCP) S-Tag PCP Color Green Color Yellow Color Green Color Yellow 2 Color Green  Color Yellow H 5 N/S in Phase 2 EF (46) N/S in Phase 2 5  N/S in Phase 2 M  3  2  AF31 (26) AF32 (28) or AF33 (30) 3  2 L 1  0 AF11 (10) AF12 (12), AF13 (14) or Default (0) 1  0
Notes for CoS Performance Objectives (CPOs) MEF 23.1 Tables 5, 6, 7: CoS Performance Metric Parameters DRAFT DRAFT Performance Attribute Parameter Name Class H Parameter Value for CPO Derivation Class M Parameter Value for CPO Derivation Class L Parameter Value for CPO Derivation Frame Delay (FD) Percentile (P)  99.9th  99th  95th Time Interval (T)    Month    Month    Month Mean Frame Delay (MFD) Time Interval (T)    Month    Month    Month Inter Frame Delay Variation (IFDV) Percentile (P)     99.9th  99th N/S Time Interval (T)  Month   Month N/S Pair Interval (Dt)  1sec  1sec N/S Frame Delay Range (FDR) Percentile  (P y )  99.9th  99th N/S Time Interval (T)  Month    Month N/S Frame Loss Ratio (FLR) Time Interval (T)  Month  Month  Month Availability For future phase. For future phase. For future phase. For future phase.
Performance Tier 1 CPOs - Metro DRAFT MEF 23.1 Table 8: Performance Tier 1 (Metro)  CoS Performance Objectives DRAFT Performance Attributes CoS Label H CoS Label M CoS Label L 1 Applicability Notes DELETE COLUMN BEFORE LB Pt-Pt Multipt Pt-Pt Multipt Pt-Pt Multipt FD (ms)  10 TBD  20 TBD  37 TBD At least one of either FD or MFD required  MFD (ms)  7 TBD  13 TBD  28 TBD IFDV (ms)  3 TBD  8 or N/S  2 TBD N/S TBD At least one of either FDR or IFDV required  No Objectives for L, optional for M FDR (ms)  TBD  10 or N/S  2 TBD N/S TBD FLR (ratio)  .01% i.e. 10 -4 TBD  .01% i.e. 10 -4 TBD  .1% i.e. 10 -3 TBD Availability TBD TBD TBD TBD TBD TBD For future phase
Performance Tier 2 CPOs - Regional DRAFT MEF 23.1 Table 9: Performance Tier 2 (Regional) CoS Performance Objectives DRAFT Performance Attributes CoS Label H CoS Label M CoS Label L 1 Applicability Notes DELETE COLUMN BEFORE LB Pt-Pt Multipt Pt-Pt Multipt Pt-Pt Multipt FD (ms)    25 TBD    75 TBD    125 TBD At least one of either FD or MFD required  MFD (ms)    18 TBD    30 TBD    50 TBD MBH Revision IFDV (ms)    8 TBD    40 or N/S  2 TBD N/S TBD At least one of either FDR or IFDV required  Non-Specified Objectives for L, optional for M  FDR (ms)    10 TBD    50 or N/S  2 TBD N/S TBD FLR (ratio)  .01%  i.e.,  10 -4 TBD    .01% i.e., 10 -4 TBD    .1% i.e., 10 -3 TBD MBH revision Availability TBD TBD TBD TBD TBD TBD For future phase
Performance Tier 3 CPOs w/FLR Changes DRAFT DRAFT Change has no impact on application support in CoS IA spreadsheet Change has no impact on statistical constraints or application support New values in Red MEF 23.1 Table 10: Performance Tier 3 (Continental)  CoS Performance Objectives Performance Attributes CoS Label H CoS Label M CoS Label L 1 Applicability Notes DELETE COLUMN BEFORE LB Pt-Pt Multipt Pt-Pt Multipt Pt-Pt Multipt FD (ms)  77 TBD    115 TBD    230 TBD At least one of either FD or MFD required  MFD (ms)  70 TBD    80 TBD    125 TBD IFDV (ms)    10 TBD    40 or N/S  2 TBD N/S TBD At least one of either FDR or IFDV required  Non-Specified Objectives for L, optional for M FDR (ms)    12 TBD    50 or N/S  2 TBD N/S TBD FLR (ratio) ,[object Object],[object Object],TBD ,[object Object],[object Object],TBD    .1% i.e., 10 -3 TBD H and M FLR relaxed by factor of 2.5 to differentiate from PT1 & 2 Availability TBD TBD TBD TBD TBD TBD For future phase
Performance Tier 4 CPOs w/FLR Changes DRAFT Change has no impact on application support in CoS IA spreadsheet Change has no impact on statistical constraints or application support MEF 23.1 Table 11: Performance Tier 4 (Global) CoS Performance Objectives DRAFT Performance Attributes CoS Label H CoS Label M CoS Label L 1 Applicability Notes DELETE COLUMN BEFORE LB Pt-Pt Multipt Pt-Pt Multipt Pt-Pt Multipt FD (ms)  230 TBD    250 TBD    390 TBD At least one of either FD or MFD required  MFD (ms)  200 TBD    220 TBD    240 TBD IFDV (ms)    32 TBD    40 or N/S  2 TBD N/S TBD At least one of either FDR or IFDV required Non-Specified Objectives for L, optional for M FDR (ms)    40 TBD    50 or N/S  2 TBD N/S TBD FLR (ratio) ,[object Object],[object Object],TBD ,[object Object],[object Object],TBD    .1% i.e., 10 -3 TBD H and M FLR relaxed by factor of 5 to differentiate from other PTs Availability TBD TBD TBD TBD TBD TBD For future phase
Benefits of CoS Alignment, Standardization ,[object Object],[object Object],[object Object],[object Object],[object Object]
Concatenating OVCs to deliver an EVC ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ENNI UNI UNI MEN 2 (OOF operator) OVC2 MEN 1 (Service Provider) OVC1 50 Mbps over 1GigE Phy PT 1 PT 4 * Not specified by the MEF
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
More information is available from the following  MEF web sites: www.metroethernetforum.org www.ethernetacademy.net

Weitere ähnliche Inhalte

Was ist angesagt?

Lte
LteLte
Lte
SICE
 
Mini projet de reseaux de communication
Mini projet  de reseaux de communicationMini projet  de reseaux de communication
Mini projet de reseaux de communication
Olga Ambani
 
Asterisk to ip_rapport
Asterisk to ip_rapportAsterisk to ip_rapport
Asterisk to ip_rapport
Gilles Samba
 
5G Network Architecture, Planning and Design
5G Network Architecture, Planning and Design5G Network Architecture, Planning and Design
5G Network Architecture, Planning and Design
Tonex
 
6 lte cours (1)
6 lte cours (1)6 lte cours (1)
6 lte cours (1)
Amira Abdi
 

Was ist angesagt? (20)

NFV Tutorial
NFV TutorialNFV Tutorial
NFV Tutorial
 
Mavenir network function virtualisation
Mavenir network function virtualisationMavenir network function virtualisation
Mavenir network function virtualisation
 
David Soldani, Huawei
David Soldani, HuaweiDavid Soldani, Huawei
David Soldani, Huawei
 
Lte
LteLte
Lte
 
Mini projet de reseaux de communication
Mini projet  de reseaux de communicationMini projet  de reseaux de communication
Mini projet de reseaux de communication
 
Asterisk to ip_rapport
Asterisk to ip_rapportAsterisk to ip_rapport
Asterisk to ip_rapport
 
IP Multimedia Subsystem (IMS)
IP Multimedia Subsystem (IMS)IP Multimedia Subsystem (IMS)
IP Multimedia Subsystem (IMS)
 
Nokia 5G Workshop Taiwan Oct 2016
Nokia 5G Workshop Taiwan Oct 2016Nokia 5G Workshop Taiwan Oct 2016
Nokia 5G Workshop Taiwan Oct 2016
 
5G Network Architecture, Planning and Design
5G Network Architecture, Planning and Design5G Network Architecture, Planning and Design
5G Network Architecture, Planning and Design
 
6 lte cours (1)
6 lte cours (1)6 lte cours (1)
6 lte cours (1)
 
TARA- Automotive Cybersecurity.pptx
TARA- Automotive Cybersecurity.pptxTARA- Automotive Cybersecurity.pptx
TARA- Automotive Cybersecurity.pptx
 
Présentation Cdma, Multiplexage CDMA, principes de Code et cas d'exemple
Présentation Cdma, Multiplexage CDMA, principes de Code et cas d'exemplePrésentation Cdma, Multiplexage CDMA, principes de Code et cas d'exemple
Présentation Cdma, Multiplexage CDMA, principes de Code et cas d'exemple
 
Voip security
Voip securityVoip security
Voip security
 
Mise en place de la telephonie ip avec Asterisk
Mise en place de la telephonie ip avec AsteriskMise en place de la telephonie ip avec Asterisk
Mise en place de la telephonie ip avec Asterisk
 
4G.pdf
4G.pdf4G.pdf
4G.pdf
 
OpenStack DevStack Tutorial
OpenStack DevStack TutorialOpenStack DevStack Tutorial
OpenStack DevStack Tutorial
 
IPTV
IPTVIPTV
IPTV
 
Projet haute disponibilité asterisk pdf
Projet haute disponibilité asterisk pdfProjet haute disponibilité asterisk pdf
Projet haute disponibilité asterisk pdf
 
Architecture of the lte air interface
Architecture of the lte air interfaceArchitecture of the lte air interface
Architecture of the lte air interface
 
ETUDES ET DÉPLOIEMENT DUNE SOLUTION VOIP BASÉE SUR ASTERISK
ETUDES ET DÉPLOIEMENT DUNE SOLUTION VOIP BASÉE SUR ASTERISKETUDES ET DÉPLOIEMENT DUNE SOLUTION VOIP BASÉE SUR ASTERISK
ETUDES ET DÉPLOIEMENT DUNE SOLUTION VOIP BASÉE SUR ASTERISK
 

Ähnlich wie MEF Service Level Aggrement

Lte network planning huawei technologies
Lte network planning huawei technologiesLte network planning huawei technologies
Lte network planning huawei technologies
Chaudary Imran
 
Rf network design
Rf network designRf network design
Rf network design
Nguyen Le
 
Implementation of channel estimation algorithms in ofdm for 64 subcarriers
Implementation of channel estimation algorithms in ofdm for 64 subcarriersImplementation of channel estimation algorithms in ofdm for 64 subcarriers
Implementation of channel estimation algorithms in ofdm for 64 subcarriers
IAEME Publication
 

Ähnlich wie MEF Service Level Aggrement (20)

E010333137
E010333137E010333137
E010333137
 
Rec. ITU-R BO.1696
Rec.  ITU-R  BO.1696Rec.  ITU-R  BO.1696
Rec. ITU-R BO.1696
 
Emerson Eduardo Rodrigues - ENGINEERING STUDIES1 Rp 160623 wid e-fd-mimo
Emerson Eduardo Rodrigues - ENGINEERING STUDIES1 Rp 160623 wid e-fd-mimoEmerson Eduardo Rodrigues - ENGINEERING STUDIES1 Rp 160623 wid e-fd-mimo
Emerson Eduardo Rodrigues - ENGINEERING STUDIES1 Rp 160623 wid e-fd-mimo
 
Study of timing synchronization in mimoofdm systems using dvb t
Study of timing synchronization in mimoofdm systems using dvb tStudy of timing synchronization in mimoofdm systems using dvb t
Study of timing synchronization in mimoofdm systems using dvb t
 
Channel estimation
Channel estimationChannel estimation
Channel estimation
 
5G
5G5G
5G
 
5g-Air-Interface-pptx.pptx
5g-Air-Interface-pptx.pptx5g-Air-Interface-pptx.pptx
5g-Air-Interface-pptx.pptx
 
LTE-Network-Planning-Huawei-Technologies EMERSON EDUARDO RODRIGUES
LTE-Network-Planning-Huawei-Technologies EMERSON EDUARDO RODRIGUESLTE-Network-Planning-Huawei-Technologies EMERSON EDUARDO RODRIGUES
LTE-Network-Planning-Huawei-Technologies EMERSON EDUARDO RODRIGUES
 
Lte network planning huawei technologies
Lte network planning huawei technologiesLte network planning huawei technologies
Lte network planning huawei technologies
 
10. Calibration.pptx
10. Calibration.pptx10. Calibration.pptx
10. Calibration.pptx
 
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent  Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )Coherent  Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
 
09 23sept 8434 10235-1-ed performance (edit ari)update 17jan18tyas
09 23sept 8434 10235-1-ed performance (edit ari)update 17jan18tyas09 23sept 8434 10235-1-ed performance (edit ari)update 17jan18tyas
09 23sept 8434 10235-1-ed performance (edit ari)update 17jan18tyas
 
Rf network design
Rf network designRf network design
Rf network design
 
Emerson Eduardo Rodrigues - ENGINEERING STUDIES1 Rp 160540 signalling reducti...
Emerson Eduardo Rodrigues - ENGINEERING STUDIES1 Rp 160540 signalling reducti...Emerson Eduardo Rodrigues - ENGINEERING STUDIES1 Rp 160540 signalling reducti...
Emerson Eduardo Rodrigues - ENGINEERING STUDIES1 Rp 160540 signalling reducti...
 
Implementation of channel estimation algorithms in ofdm for 64 subcarriers
Implementation of channel estimation algorithms in ofdm for 64 subcarriersImplementation of channel estimation algorithms in ofdm for 64 subcarriers
Implementation of channel estimation algorithms in ofdm for 64 subcarriers
 
77 ghz acc radar simulation platform
77 ghz acc radar simulation platform77 ghz acc radar simulation platform
77 ghz acc radar simulation platform
 
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
Sparse channel estimation by pilot allocation  in   MIMO-OFDM systems     Sparse channel estimation by pilot allocation  in   MIMO-OFDM systems
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
 
SDH_Frame_Structure.ppt
SDH_Frame_Structure.pptSDH_Frame_Structure.ppt
SDH_Frame_Structure.ppt
 
Am32265271
Am32265271Am32265271
Am32265271
 
Performance evaluation of multicast video distribution using lte a in vehicul...
Performance evaluation of multicast video distribution using lte a in vehicul...Performance evaluation of multicast video distribution using lte a in vehicul...
Performance evaluation of multicast video distribution using lte a in vehicul...
 

Kürzlich hochgeladen

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Kürzlich hochgeladen (20)

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

MEF Service Level Aggrement

  • 1.  
  • 2.  
  • 3. Yoav Cohen Senior Standards Specialist, Nokia Siemens Networks [email_address]
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Three CoS Model - Framework Table 2: Three CoS Model Table CoS Label EVC Type FD FDV FLR Ingress UNI Band-width Profile Con-straints 3 PCP / PHB (DSCP) CoS and Color Identifiers 1 PCP / PHB (DSCP) CoS-only Identifiers 1 Example Applica-tions Color Green Color Yellow 2 w/DEI H Pt-Pt A FD A FDV A FLR CIR>0 EIR  0 4 CF=0 5 / EF (46) N/S in Phase 1 5 / EF (46) VoIP and Backhaul Control Multipt A FD ΄ A FDV ΄ A FLR ΄ M Pt-Pt B FD B FDV B FLR CIR>0 EIR  0 3 / AF31 (26) 2 / AF32 (28) or AF33 (30) 2-3 / AF31-33 (26, 28, 30) Near-Real-Time or Critical Data Apps Multipt B FD ΄ B FDV ΄ B FLR ΄ L Pt-Pt C FD C FDV C FLR CIR  0 EIR  0 5 1 / AF11 (10) 0 / AF12 (12), AF13 (14) or Default (0) 0-1 / AF11-13 (10, 12, 14) or Default (0) TBD in future Phase Multipt C FD ΄ C FDV ΄ C FLR ΄
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Three CoS Model Using Frame Marking MEF 23.1 Table 4: Three CoS Model Table DRAFT DRAFT CoS Label CoS and Color Identifiers C-Tag PCP PHB (DSCP) S-Tag PCP Color Green Color Yellow Color Green Color Yellow 2 Color Green Color Yellow H 5 N/S in Phase 2 EF (46) N/S in Phase 2 5 N/S in Phase 2 M 3 2 AF31 (26) AF32 (28) or AF33 (30) 3 2 L 1 0 AF11 (10) AF12 (12), AF13 (14) or Default (0) 1 0
  • 18. Notes for CoS Performance Objectives (CPOs) MEF 23.1 Tables 5, 6, 7: CoS Performance Metric Parameters DRAFT DRAFT Performance Attribute Parameter Name Class H Parameter Value for CPO Derivation Class M Parameter Value for CPO Derivation Class L Parameter Value for CPO Derivation Frame Delay (FD) Percentile (P)  99.9th  99th  95th Time Interval (T)  Month  Month  Month Mean Frame Delay (MFD) Time Interval (T)  Month  Month  Month Inter Frame Delay Variation (IFDV) Percentile (P)  99.9th  99th N/S Time Interval (T)  Month   Month N/S Pair Interval (Dt)  1sec  1sec N/S Frame Delay Range (FDR) Percentile (P y )  99.9th  99th N/S Time Interval (T)  Month  Month N/S Frame Loss Ratio (FLR) Time Interval (T)  Month  Month  Month Availability For future phase. For future phase. For future phase. For future phase.
  • 19. Performance Tier 1 CPOs - Metro DRAFT MEF 23.1 Table 8: Performance Tier 1 (Metro) CoS Performance Objectives DRAFT Performance Attributes CoS Label H CoS Label M CoS Label L 1 Applicability Notes DELETE COLUMN BEFORE LB Pt-Pt Multipt Pt-Pt Multipt Pt-Pt Multipt FD (ms)  10 TBD  20 TBD  37 TBD At least one of either FD or MFD required MFD (ms)  7 TBD  13 TBD  28 TBD IFDV (ms)  3 TBD  8 or N/S 2 TBD N/S TBD At least one of either FDR or IFDV required No Objectives for L, optional for M FDR (ms)  TBD  10 or N/S 2 TBD N/S TBD FLR (ratio)  .01% i.e. 10 -4 TBD  .01% i.e. 10 -4 TBD  .1% i.e. 10 -3 TBD Availability TBD TBD TBD TBD TBD TBD For future phase
  • 20. Performance Tier 2 CPOs - Regional DRAFT MEF 23.1 Table 9: Performance Tier 2 (Regional) CoS Performance Objectives DRAFT Performance Attributes CoS Label H CoS Label M CoS Label L 1 Applicability Notes DELETE COLUMN BEFORE LB Pt-Pt Multipt Pt-Pt Multipt Pt-Pt Multipt FD (ms)  25 TBD  75 TBD  125 TBD At least one of either FD or MFD required MFD (ms)  18 TBD  30 TBD  50 TBD MBH Revision IFDV (ms)  8 TBD  40 or N/S 2 TBD N/S TBD At least one of either FDR or IFDV required Non-Specified Objectives for L, optional for M FDR (ms)  10 TBD  50 or N/S 2 TBD N/S TBD FLR (ratio)  .01% i.e., 10 -4 TBD  .01% i.e., 10 -4 TBD  .1% i.e., 10 -3 TBD MBH revision Availability TBD TBD TBD TBD TBD TBD For future phase
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.  
  • 27.  
  • 28. More information is available from the following MEF web sites: www.metroethernetforum.org www.ethernetacademy.net

Hinweis der Redaktion

  1. The Motivation for MEF 23 - to introduce and define specific “classes” or CoS that will receive a commitment for a particular level of performance for a set of Service Frames (e.g., those belonging to a particular application) from the Service Provider for further development of Carrier Ethernet services that are interoperable and predictably support subscriber applications. Solving the problem of Class of Service spanning two or more Service Providers requires: Common Class of Service lexicon between the service providers on either side of the standardized Ethernet interconnect MENs may implement different number of CoS Alignment of the respective Classes of Service at the ENNI
  2. The Global Interconnect program is a key initiative for the MEF for the next several years. The Global Interconnect initiative is the third phase of developing the Carrier Ethernet suite. Phase 1 being Architecture and Definition, Phase 2 being Implementation and Certification. Operators have been establishing interconnects as needed in recent years, and the MEF goal is to bring standardization to the process – ultimately benefiting the enterprise customers with a consistent global service delivery. Key Initiative for the MEF for 2009-2011 MEF Global Interconnect Defined The interconnection of autonomous Carrier Ethernet networks to enable standardized and streamlined delivery of MEF-certified Carrier Ethernet services with end-to-end Class of Service, management and protection Strategic Opportunity for Broadband Service Providers Expand coverage Extend reach Broaden service offering Reduce costs “ Globalize our network”
  3. PCP (8 values) – Priority Control Point – Ethernet DSCP (64 values) – Differentiated Services Control Point EVC/VLAN Tag ID – defines priority and not use PCP in 10.1 MEF spec FD = Frame Delay IFDV = Interconnect Frame Delay Variation FLR = Frame Delay Range MFD = Measured Frame Delay
  4. 1 Full CoS Identifier includes EVC. Table specifies only the PCP or DSCP values to be used with EVC. EVC indication is not constrained by CoS IA. 2 The Color Yellow column values are N/A when DEI is used to represent Color at the E-NNI. 3 CBS, EBS, Color Mode and Coupling Flag BWP parameters are not addressed in this table. 4 EIR is not constrained though EIR=0 assumed since not specifying Color Yellow PCP and DSCP for CoS Label H. Relaxation of EIR constraint is for applications such as Mobile Backhaul (see Mobile Backhaul example use case in Appendix). 5 Both CIR and EIR = 0 is not allowed as this would result in no conformant Service Frames. Note: Separate rows for Point-to-Point and Multipoint for each CoS Label to allow for different Performance Objectives for each as denoted by the prime (΄). Multipoint also includes Rooted Multipoint as per [2]. Color Green – in contract Color yellow – out of contract Color Red – drop EF = Expedited Forward AF = Assured Forwarding PHB = Per hop behavior H = Realtime M = data L = best effort Color Aware = knowledge of the customer priority before it hit interface (don’t make it higher) Color Blind = no knowledge of customer priority Stag = MEF COS mandatory for ENNI; recommended for UNI
  5. In addition to what is stated on the slide. Phase 2 Emerging areas: - Convergence on required Class of Service Performance Objectives (CPOs) - Creation of Performance Tiers (PT) - Added support for OVC cases (e.g., OVC services, UNI Tunnel Access) - Adding guidance for burst alignment (i.e., CBS) and shaping for ENNI case - Increased number of performance parameters
  6. PT: Performance Tiers CPO: CoS Performance Objectives PT refers to a MEN, set of MENs or domain within a MEN, for which specific CPO set applies Different PTs provide different CPOs based on Network scope, e.g., Metro (250km), Regional (1200km), National (7000km), Global/Intercontinental (27500 km) Other constraints, e.g., wired vs. wireless connectivity Up to 4 PTs currently envisioned Guidelines for CPO aggregation from traversed PTs also provided in MEF23.1
  7. “ Problem Statement” mentions 50Mbps, deeper dive to understand what 50Mbps service means In this case, 50Mbps Ethernet service delivered over a GigE physical interface 2 Customer premises (Building L, R) UNI: user network interface 2 service providers ENNI: external network to network interface