MPLS-TE Doesn`t Scale
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Transcript MPLS-TE Doesn`t Scale
MPLS-TE Doesn’t Scale
Adrian Farrel
Old Dog Consulting
[email protected]
www.mpls2007.com
OLD DOG CONSULTING
Is the Sky Falling?
The only way to get your attention is to be alarmist
MPLS-TE is perfectly functional in today’s networks
But:
MPLS-TE will not scale indefinitely
The problem is the well-known “full mesh” or
“n-squared” problem
The number of LSPs scales as the square of the number
of PEs
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What Do We Want to Achieve?
MPLS-TE is an important feature for many SPs
Allow traffic to be groomed
Optimize use of network resources
Provide quality of service guaranties
Carriers look to provide edge-to-edge tunnels across
their core networks
Differentiated Services
VPNs
VLANS and pseudowires
Multimedia content distribution
Normal IP traffic
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What is the Scope of the Problem?
Consider a service provider network with 1000 PEs
This is not outrageously large
Such a network may be broken into areas or ASes
Consider a full mesh of PE-PE TE-LSPs
Consider parallel tunnels for different services, QoS
levels, and for protection
May give rise to multiples of 999,000 LSPs in the core
What is the capacity of a core LSR?
What is the capacity of a management system?
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What Are the Scaling Limits?
Management
NMS
How many LSPs can the NMS process
Management protocols
Reporting on large numbers of LSPs may overload the
management network
LSR issues
Memory capacity
Per LSP data requirements
CPU capacity – largely an RSVP-TE protocol issue
Degradation of LSP setup times
Soft state addressed by Refresh Reduction
MPLS forwarding plane
Number of labels (Only 1048559 per interface)
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The Snowflake Topology
Example network for analysis
Meshed core of P nodes
PE
Called P1 nodes
Each Pi+1 node connected to
P2
just one Pi node
PE nodes connected to just one
P1
Pn node
Well-defined connectivity and
symmetry allows many important
metrics to be computed
Number of levels & number of nodes per level may be varied
We can
We can
We can
We can
vary
vary
vary
vary
the
the
the
the
number of P1 nodes
ratio of Pi+1 to Pi
value n
number of PE nodes per Pn node
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Analysing the Snowflake Topology
Define
Discover
Pn a node at the nth level (level 1 is core)
Sn the number of nodes at the nth level
Mn the multiplier at the nth level (how many Pn+1 nodes are connected to
a Pn node)
Ln number of LSPs seen by a Pn node
LPE = 2*(SPE - 1)
L2 = M2*(2*SPE - M2 - 1)
L1 = M1*M2*(2*SPE – M2*(M1 + 1))
Practical numbers
S1 = 10, M1 = 10, and M2 = 20
SPE = 2000
LPE = 3998
L2 = 79580
L1 = 756000
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The Ladder Topology
Example network for analysis
Core of P1 nodes looks
like a ladder
Symmetrical trees subtended
to core
Similar to many national
networks
Each Pi+1 node connected to just one Pi node
Each PE node connected to just one P node
Again:
Well-defined connectivity and symmetry allows many important
metrics to be computed
Number of levels & number of nodes per level may be varied
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Analysing the Ladder Topology
Same definitions as for snowflake network
Discover
E the number of subtended edge nodes (PEs) to each spar-node
(E = M1*M2)
LPE = 2*(SPE - 1)
L2 = 2*M2*(SPE - 1) - M2*(M2 - 1)
L1 ≈ E*E*S1*S1/2 + E*E*S1 + 3*E*E - E*M2
Practical numbers
S 1 = 10, M1 = 10, and M2 = 20
E = 200
SPE = 2000
LPE = 3998
L2 = 79580
L1 = 2516000
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Option 1 – Solve a Different Problem!
If a full mesh of PE-PE LSPs is too big, don’t build it!
The suggestion is to build a full mesh of Pn-to-Pn LSPs, and
perform routing or routing-based MPLS between Pn and PE
Scaling improves from O(10002)
to O(1002)
But we lose functionality
This is the bottom line if we don’t fix the problem
Why did we want a PE-PE mesh?
How do we handle private address spaces?
What if the traffic is not routable?
This may simply not be good enough to provide the function
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Option 2 – LSP Hierarchies
Well-known, core MPLS function
Label stacks
Forwarding Adjacencies (RFC 4206)
Configured or automatic grooming
Possible to build a full or partial
mesh of hierarchical tunnels
For example connect all P2 nodes
Each P2 node must encapsulate each PE-PE LSP in the
correct tunnel
Each P1 node only sees the P2-P2 tunnels
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Scaling Properties of Hierarchies - Snowflake
Note that PE-PE tunnels don’t help
P1-P1 tunnels are also no benefit (core is fully meshed)
P2 nodes see all PE-PE LSPs and new tunnels
Situation at P1 nodes is much better
L2 = M2*(2*SPE - M2 - 1) + 2*(S2 - 1)
L1 = M1*(2*S2 - M1 - 1)
Numbers (S1 = 10, M1 = 10, and M2 = 20)
SPE
LPE
L2
L1
Flat
2-Level
2000
3998
79580
756000
Hierarchy
2000
3998
79778
1890
Maybe insert another layer (P3 ) to increase the scaling?
L3 remains high
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Scaling Properties of Hierarchies - Ladder
Note that PE-PE tunnels don’t help
But P1-P1 tunnels are good because core is not fully-meshed
Another level of hierarchy is also possible
L1 ≈ S1*S1/2 + 2*S1 + 2*E*E*(S1 - 1) - E*M2 - 2
Add a mesh of P2-P2 tunnels
L1 = S1*S1/2 + 2*S1 + 2*M1*M1*S1 - M1(M1 + 1) – 2
L2 = 2*M2*(S(PE) - 1) - M2*(M2 - 1) + 2*(S(1)*M(1) - 1)
Numbers (S 1 = 10, M1 = 10, and M2 = 20)
Flat
SPE
LPE
L2
L1
2000
3998
79580
2516000
2-Level
Hierarchy
2000
3998
79580
716060
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3-Level
Hierarchy
2000
3998
79778
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Issues and Drawbacks for Hierarchies
Scaling is not good enough!
Management burden
Plan and operate a secondary mesh
Effectively the same burden as managing PEs or a layered
network
Possible to consider auto-mesh techniques
Fast Reroute protection is a problem
Impact on layer adjacent to PEs is negligible
Actually impact is slightly negative
FRR struggles to protect tunnel end-points
Not obvious how to arrange the hierarchy when the network is
not symmetrical
E.g., some PEs closer to the core
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Option 3 – Multipoint-to-Point LSPs
LSPs merge automatically as they converge on the destination
Reduces the number of LSPs toward the egress
Other LSP properties (e.g.,
bandwidth) must be cumulative
TE is still possible, but
de-merge is not considered
Should count “LSP state” not number of LSPs
New definition
Xn the amount of LSP state
held at each Pn node
For flat and hierarchical networks:
Each LSP adds one state at ingress or egress
Each LSP adds two states at each transit node
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Scaling Properties of MP2P LSPs - Snowflake
XPE = 2*(SPE - 1)
X2 = SPE*(M2 + 1)
X1 = M1*M2*(S1 - 2) + SPE*(M1 + 1)
Numbers (S1 = 10, M1 = 10, and M2 = 20)
SPE
XPE
X2
X1
Flat 2-Level Hierarchy
2000
2000
3998
3998
159160
159358
1512000
3780
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P2MP
2000
3998
42000
23600
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Scaling Properties of MP2P LSPs - Ladder
XPE = 2*(SPE - 1)
X2 = (M2 + 1)*S1*E
X1 ≤ (4 + M1)*S1*E - M1*E
Numbers (S1 = 10, M1 = 10, and M2 = 20)
Flat
SPE
XPE
X2
X1
2000
3998
159160
5032000
2-Level
Hierarchy
2000
3998
159160
1433998
3-Level
Hierarchy
2000
3998
159358
3898
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P2MP
2000
3998
42000
26000
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Issues and Drawbacks for MP2P LSPs
Clear scaling benefits
Better than flat networks
Only thing that improves the situation adjacent to PEs
But…
Data plane support
This will only ever be a packet/frame/cell technology
Control plane support
RSVP does have MP2P support
RSVP-TE features not yet specified or implemented
De-aggregation and disambiguation
May be necessary to use label stack so that egress can detect sender
of data
OAM may be more complex and require source labels
New management applications needed
FRR still to be designed
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Other Topics for Investigation
Cost-effectiveness of the network
Fast Reroute
Revenue only generated by PEs
K = S(PE)/(S(1)+S(2) + ... + S(n))
Many ways to improve scaling reduce cost-effectiveness
What are the implications of FRR to scaling?
Can scaling contributions be designed that can be protected by
FRR?
Point-to-multipoint
What are the scaling properties of P2MP MPLS-TE?
Domain boundaries (in particular AS boundaries)
Boundaries such as at area and AS borders cause constrictions
How can we reduce the number of LSPs seen by ABRs and ASBRs?
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Conclusions, Next Steps, and References
MPLS-TE is not a scaling issue today
But it won’t scale arbitrarily
We need to plan now for tomorrow’s scalability
Hierarchical LSPs are not as good as expected
MP2P LSPs may offer a better solution
More research and implementation is needed
draft-ietf-mpls-te-scaling-analysis-01.txt
Seisho Yaukawa (NTT)
Adrian Farrel (Old Dog Consulting)
Olufemi Komolafe (Cisco Systems)
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Questions?
[email protected]
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