Date post: | 08-Jul-2015 |
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1 | Infinera Confidential & Proprietary
Variation of OTN Switching Benefits in Real-World Networks Based on Network and Traffic Connectivity
Soumya Roy (Speaker), Onur Turkcu, Steven Hand, Serge Melle
Infinera Corporation
2 | Infinera Confidential & Proprietary
Industry Trends: Infonetics Operator’ Survey Increasing Adoption of OTN
Source: Infonetics Research, OTN, MPLS, and Control Plane Strategies: Global Service Provider Survey, May 2013
Core 2013 Core 2016
~95% will move to meshed transport networks
Topology
~90% plan to deploy integrated OTN/DWDM
Convergence
~70% will use OTN mesh recovery
Protection
3 | Infinera Confidential & Proprietary
Value of OTN Switching Higher Network Efficiency
4 x 10G
3 x 10G
1x 10G
Efficient converged network with OTN switching
10% fill
40% fill
30% fill
80% fill
1x10G 100G l
4x10G 100G l
100G l 3x10G
Many, poorly filled wavelengths
10% fill
40% fill
30% fill
1x10G 100G l
4x10G 100G l
100G l 3x10G
• Higher network utilization • Eliminate I/C cost, extra space/power • Eliminates many points of failure • Automated, end-end provisioning • End-to-end service protection
4 | Infinera Confidential & Proprietary
OTN Switching Benefits Virtual Degree matters; not the physical degree
A B C Y X
Optical Express (X-A)
Node A’s Virtual Degree = 4
Optical Express (A-Y)
A B C
Node A’s Physical Degree = 2
Opportunities for OTN switching exist in ring-based networks
5 | Infinera Confidential & Proprietary
OTN Switching Benefits Traffic Patterns matter
Hub & Spoke Traffic Mesh Traffic
With Mesh Traffic, diversity of traffic paths increases
• With more Diverse Paths, higher opportunities for OTN Switching
• Higher network utilization and efficiency
6 | Infinera Confidential & Proprietary
Characterizing Networks Average Nodal Degree represents Meshiness of Physical Connectivity
Ring Network Connected Rings Mesh Network
Avg Node Degree = 2.0 Avg Node Degree = 2.17 Avg Node Degree = 3.33
Diversity of Traffic Paths increases with Higher Physical Degree
7 | Infinera Confidential & Proprietary
Characterizing Networks Standard Deviation of Traffic Degrees characterizes traffic meshiness
(a) Hub & Spoke Traffic (b) Partial Mesh (c) Mesh
# o
f U
niq
ue
D
est
inat
ion
s
Node IDs Node IDs Node IDs
S.D. = 1.73 S.D. = 1.0 S.D. = 0.44
S.D. = Standard Deviation
1
5
4
3
2
Lower Standard Deviation of Traffic Degree for each node implies more meshed traffic
8 | Infinera Confidential & Proprietary
Six real-world metro and regional networks and traffic patterns
Objective: To understand the impact of network topology and traffic pattern on OTN switching benefits
Network Studies Objective: Evaluate OTN switching benefits
Network 1 Network 2 Network 3 Network 4 Network 5 Network 6
YR1 Traffic 125G 1.15T 4.4T 1.02T 300G 400G
Client Rate Type 2.5/10G 10G 1/2.5G/10/ 100G
1/10G 1/2.5/10G 1/2.5/10G
Avg. Distance (km)
56 47 67 85 105 67
# of Nodes, Links 14, 14 9, 11 39, 47 7, 10 14, 16 14, 34
Network Type MSO MSO MSO MSO Tier 1 Tier 1
Topology Type Single Ring Two Interconnected
Rings
Multiple Interconnected
Rings
Slightly Meshed
Ring + Linear Mesh
9 | Infinera Confidential & Proprietary
Line Module Savings with OTN architecture Year 1 results
4.0
3.5
3.0
2.5
2.0
4.0 3.0 2.0 1.0
0%
21%
6%
18%
0%
8%
Traffic Connectivity Increases
Net
wo
rk C
on
ne
ctiv
ity
Incr
eas
es
Circle Area represents Line Module Savings due to OTN Switching over ADM Architecture
Region of Medium to High Savings
Ave
rage
No
de
De
gre
e
(Ring)
(Mesh)
(Hub & Spoke) (Mesh) Standard Deviation (S.D.) of Traffic Degree
10 | Infinera Confidential & Proprietary
Line Module Savings with OTN architecture Year 3 results
4.0
3.5
3.0
2.5
2.0
4.0 3.0 2.0 1.0
Traffic Connectivity Increases
Net
wo
rk C
on
ne
ctiv
ity
Incr
eas
es
Region of Medium to High Savings
Ave
rage
No
de
De
gre
e
Standard Deviation (S.D.) of Traffic Degree
(Ring)
(Mesh)
(Hub & Spoke) (Mesh)
0%
19%
3%
14%
1%
13%
Circle Area represents Line Module Savings due to OTN Switching over ADM Architecture
11 | Infinera Confidential & Proprietary
Average node degree and standard deviation of traffic degrees are simple metrics to characterize optical networks
CAPEX savings of OTN switching over non-switched architectures vary with physical topology and traffic patterns
Traffic patterns play a bigger role than physical topology in determining benefits with OTN switching
Summary
12 | Infinera Confidential & Proprietary
Thank You