The Killer APP for NFV

HUAWEI TECHNOLOGIES CO., LTD.
www.huawei.com
*
HUAWEI TECHNOLOGIES CO., LTD., Proprietary
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HUAWEI TECHNOLOGIES CO., LTD., Proprietary
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1. Centralized + Distributed
Fully fledged functions
distributed across network.
2. Dedicated Functions at Cloud
Edge
Requires security, latency and
reliability.
(distributed control and user plane)
3. Basic centralized CP, distributed
UP
Basic control plane and user plane
capabilities, no mobility.
(central control and distributed user
plane)
Ref: NGMN 5G White Paper
Multiple 5G slices concurrently operated on the same infrastructure – with
different distribution of control and user plane
HUAWEI TECHNOLOGIES CO., LTD., Proprietary
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USER DRIVEN
Personalized applications in cloudlet
require low latency (<10 ms), high reliability, mobility support:
- Cognitive assistance (e.g., wearable cognitive devices for healthcare, Google glass, Olympus mobile eye trek)
Ref: The case for VM-based Cloudlets in Mobile Computing, IEEE Pervasive Computing.
- V2V (Vehicle-to-vehicle) and V2I (Vehicle-to-infrastructure)
HUAWEI TECHNOLOGIES CO., LTD., Proprietary
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NETWORK DRIVEN
Flatter (tier 2 and 3) Internet Peering
Consolidated fixed-mobile Data Centers
Lower Transit cost (#1 for Tier 2 ISP)
End user experience, latency (#1 for content providers)
Control over routing, redundancy (#1 for Yahoo, NetFlix)
Orange NG-POP plans to have common data centers for
Fixed and mobile networks.
Session continuity between fixed/mobile sessions.
Operator requirements for DC consolidation, and flatter peering by ISPs.
HUAWEI TECHNOLOGIES CO., LTD., Proprietary
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[Ref: 4G Americas Recommendations on 5G Requirements and Solutions]
Flexible mobility means that there may be a range of options based on device type, application, application context or
statically configured. Flexible mobility consists of managing mobility and tracking/reachability to save power.
Examples with Idle mode mobility on a per-device basis, and active mode mobility on a per-application basis is shown
below:
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14
Traffic (Exabytes)
Signaling (100 Trillion msg)
12
10
8
6
Signaling,
data traffic
Signaling will
growth faster
4
Revenue growth will
come from exposing
network analytics to
OTT players
2
0
2012
2013
2014
References:
Cisco VNC – Data traffic Growth
Oracle – LTE Signaling Traffic Growth
2015
2016
Signaling and data traffic is growing exponentially.
Variety of applications including those with low delay bound, high bandwidth in future.
In the future, OTT players will form symbiotic relationship with carriers via dynamic SLA offerings
Future core Network should design for massive signaling, low latency and data demand.
HUAWEI TECHNOLOGIES CO., LTD., Proprietary
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IT Cloud
HUAWEI TECHNOLOGIES CO., LTD., Proprietary
Carrier Cloud
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HSS
Diameter
Network
AAA
Charging
DB
PCRF
APP
Mobile Core Data Service
Flexible Mobile Core Distribution:
clustered, elastic sites with NFV/SDN
1. centralized + distributed (UP/CP)
2. dedicated functions at cloud edge (UP/CP)
3. Centralized CP, distributed UP.
Analytics
DB
Regional Network
IP Network
Mobile Core Data Svc
Mobile Core - CP
Mobile Core - UP
Auth
DB
DB
API
Mobile Core Data Service
APP
Mobile Core - CP
MM/SM
SDN-C
SDN-C
Data Center
SWITCH
SORC
Mobile core Data Service (MDS): Data tier
that is loosely coupled to mobile core
functions and to network services/apps like
billing, analytics.
Auth
---
MM/SM
Mobile Core - UP
Data center
SWITCH
SDN Network
SORC
SDN based Transport Plane: white box
traffic forwarding, stateful function are
handled with in-switch autonomous
functions and flexible service chaining
SORC
Dense Radio Network: Macro/small cells
HUAWEI TECHNOLOGIES CO., LTD., Proprietary
Next Gen Session and Mobility
Management:
support for varying levels of mobility and
state transfers, transactions, QoS, low
latency, high reliability.
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HSS
Diameter
Network
AAA
PCRF
REGION
Charging
DB
APP
Mobile Core Data Service
Analytics
DB
DB
IP Network
Mobile Core Data Service
METROPLEX
Mobile Core - CP
SDN-C
Auth
---
MM/SM
Mobile Core - UP
SWITCH
Mobile Core Data Service
Mobile Core - CP
Mobile Core - UP
Auth
DB
API
Multiple 5G slices operating concurrently
A) Central CP, Central UP
- NGMN Slice 1: smartphone
B) Edge CP, Edge UP
- NGMN Slice 1: smartphone, Slice 2: V2V
C) Central CP, Edge UP
- NGMN Slice 3: IoT
APP
MM/SM
SDN-C
SWITCH
SDN Network
LOCALITY
SORC
SORC
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SORC
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HSS
Diameter
Network
AAA
PCRF
REGION
Charging
DB
APP
Mobile Core Data Service
Analytics
DB
DB
IP Network
Mobile Core Data Service
METROPLEX
Mobile Core - CP
SDN-C
Mobile Core Data Service
Mobile Core - UP
---
MM/SM
Mobile Core - UP
SWITCH
LOCALITY
Mobile Core - CP
Auth
Auth
DB
API
Mobile Core Data Service
APP
Mobile Core - CP
MM/SM
SDN-C
SWITCH
DC Network
SORC
SDN-C
Auth
DB
API
MM/SM
Mobile Core - UP
SWITCH
DC Network
SORC
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Radio + Mobile Core in a DC
Support for a combined mobile
/radio site while also supporting
mobile core slice that is
centralized.
HSS
AAA
Charging
DB
PCRF
MME
Mobile Core Data Service
PGW
DB
DB
Mobile Core Data Service
IP Network
SGW
SGW
Analytics
Mobile Core - CP
SDN-C
SWITCH
Mobile Core Data Service
Backhaul network
Mobile Core - CP
Mobile Core - UP
Auth
DB
API
APP
MM/SM
SDN-C
SDN Network
eNB
eNB
eNB
eNB
SORC
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SWITCH
SORC
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SORC
Auth
---
MM/SM
Mobile Core - UP
Data synchronization in Mobile Core:
HSS
Diameter
Network
AAA
Charging
DB
PCRF
Mobile Core Data Service
Analytics
DB
Regional Network
–
Subscriber data: (read heavy) relatively
infrequent updates. Use mobile core signaling to
resolve stale/out-of-sync data
–
MM/SM context data: (write heavy) frequent
updates and routing depends on it. May require
locking for maintaining consistency.
–
Accounting /charging data: (write heavy) high
volume of data. Out-of-sync data can resolved by
application (without locking).
IP Network
Mobile Core Data Svc
Mobile Core - CP
Auth
Mobile Core - UP
Mobile Core Data Service
DB
Mobile Core - CP
MM/SM
MM/SM
SDN-C
SDN-C
Data Center
SWITCH
SORC
SWITCH
DB
Auth
Why do we need a distributed data layer ?
---
MM/SM
–
Distributed data service layer that can be
evolved, scaled and deployed independently of
control.
–
Decoupled operation: need to operate in the
presence of intermittent wide area
network/server failures.
–
Latency of accessing remote database is avoided.
–
Capability to expose network services
Mobile Core - UP
Data center
SDN Network
SORC
SORC
Dense Radio Network: Macro/small cells
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Subscriber Data
Acct/Charging Data
MM/SM Data
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IT Cloud DCs
Carrier
Cloudlets
SDN-C
SDN-C
mgmt
SDN-C MME mgmt
GW
PCRFSDN-C MME
GW
PCRF
GW
PCRF
DNS
GW
PCRF
DNS
MME GW
GW
MME
GW
GW
IT to CARRIER
SDN-C
SDN-C
IoT
IoT
DB-H
DB-H
Carrier Cloud DCs
DB-H
DB-H
SDN-C
SDN-C
MDS
AuthSDN-C
SDN-C
MDS
Auth
mgmt
DNS
MM/SM
mgmt
DNS
MM/SM
MM/SM
coord
coord MM/SM
MDS
DB-H
MDS
DB-H
SWITCH(GW)
SWITCH(GW)
Backhaul/
S1
IP Network
SDN
Backhaul
IP Network
SWITCH(GW)
- Few networking abstractions
- limited to “ports”.
- limited support for geographic distribution of net
functions
- sub-optimal routing path for network flows
- low throughput and high latency.
SWITCH(GW)
Realize “gateway” functionality with distributed resources:
- Multiple controllers in peered and/or hierarchical mode
- Forwarding elements that host stateful functions
- Service chaining and in-switch autonomous functions
- Core forwarding plane fns buffering, paging, mobility management, metering, charging.
- Dynamic local measurement services, state monitoring and data aggregation
Support for computing services at the Edge (e.g., MEC):
- Containerization, pooling of edge cloud resources
- Dynamic provisioning across core and edge cloud resources
Fast path support for low latency and/or high throughput applications.
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ARNO (June ’15)
Brahmaputra (Feb. ’16)
-
- L2/L3 VPN with multitenancy
- Resource scheduling,
reservation
- SLA provisioning
- Fault management
- Service assurance
- Multi-site support
- Simple SFC/VNFFG
- ONOS integration with
ONOSFW SBI/NBI
- Basic policy support
OpenStack + ODL
Fixed Network Config.
Build & CI for OPNFV release
OpenStack + ODL + ONOS + OC
Cluster Level Config.
Lab Ready
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Release C
Release D
Dynamic SFC/VNFFG
Edge computing
Edge storage
Policy based slicing
Containerization
Advanced resource
scheduling, reservation
- Fault management, high
availability, service
assurance
- IPv6 for flattening
networks
- Control and data plane
Dynamic Policy
VM + Container Support
Fixed Network Ready
Low Latency + High
Throughput Hosting
Mobile Network Ready
IoT/MTC Ready
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-
-
-
function hosting on
forwarding elements
MANO for Edge Cloud,
Cloud, Inter and Intra
Cloud/Edge Cloud
Distributed Data Services
Mobile network
abstractions
Dynamic policy mapping
based on context & state
SON support
Control delegation
Light Blue text = work not yet started in
OPNFV
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