a dirty-slate approach to scaling the internet · ip address routing protocol (bgp, ospf, ...)...
TRANSCRIPT
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A DIRTY-SLATE APPROACH
Scaling the Internet
Paul Francis Hitesh Ballani, Tuan Cao
Cornell
to
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1989 2008
300000
0
Routing Table Size versus Time (BGP)
BGP data from AS65000, http://bgp.potaroo.net/as2.0/bgp-active.html
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Internet is addressed like a forest of Autonomous Systems (AS)
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Routing: Up, Across, Down
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Should scale by: Number of top-level AS’s, and Size of Fan-out
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1989 2008
30000
0
Routing Table Size versus Time (BGP)
What went wrong???
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Multi-homing (sites and ISPs)
Address ↔ Topology Mismatch
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1989 2008
250000
0
Large routing table managed using: Brute Force Engineering Constraints
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Engineering Constraints
Brute Force: Large physical memory (FIB)
• Prefix size (e.g. /24) • Frequency/Delay of BGP updates • Route flap hold-down
ASIC FIB
Line Card
CPU RIB
Route Processor
LC LC
Routing Information Base (DRAM $)
Forwarding Information Base (SRAM $$$$)
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1989 2008
250000 0
Growth rate may increase!
IPv4 address exhaustion,
Uptake of IPv6
leading to increased address fragmentation
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An Overview of Previous Approaches Geographic Addressing
Indirection and Tunneling Schemes
OUTLINE
Virtual Aggregation
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Current IP addressing is ISP-centric
What about geographical addressing?
ISP POPs tend to cluster around metro areas
Multihomed site will almost always connect to ISPs in a given metro area
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ISP-centric Addressing
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ISP-centric Addressing
Routing: First get packet to ISP, then to egress POP
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Geographical Addressing
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Routing: First get packet to metro-area, then to egress POP
Geographical Addressing
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Routing: First get packet to metro-area, then to egress POP
Geographical Addressing
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Geographical Addressing
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Geographical versus ISP-centric ISP-centric: Robust intra-ISP topology Geographical: Robust intra-metro topology
Need to re-think address assignment: Metro-oriented (but ISP-centric within a metro??)
Need some political entity to manage topology and addresses in each metro
True in 1994 [F94], still true today
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Indirection
Should be singular, unique, and stable
IP addresses both IDENTIFY and LOCATE
Identify Find a Path IP Address Routing Protocol
(BGP, OSPF, ...)
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Indirection
Should be singular, unique, and stable
IP addresses both IDENTIFY and LOCATE
Identify Find a Path IP Address Routing Protocol
(BGP, OSPF, ...) Domain Name
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Indirection
Addressing could be more flexible
Identify Find a Path IP Address Routing
Protocol
What if we limit the role of IP?
???
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Multiple, dynamic addresses Helps with hierarchy and mobility
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Can be used to select an ISP [F91] Map DNS names to IP addresses
Later adopted by IPv6, subsequently rejected because site renumbering is hard
I’m fond of name-based approaches (IPNL [GF01] and NUTSS [GF07])
Identify Find a Path IP Address Routing
Protocol Domain Name
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Flat identifier in packet headers Early proposal for IPng (Pip) [FG94]
Recent: HIP, SHIM6 (IETF) and various research papers (i3, DONA . . .)
Identify Find a Path IP Address Routing
Protocol Domain Name ID
(Though naive because lacked encryption)
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Map IP addresses to IP addresses
Network Address Translation (NAT) [FE93]
Identify Find a Path Public IP Address
Routing Protocol
Domain Name
IP Address
Tunnels
Identify Find a Path Public IP Address
Routing Protocol
Domain Name
Private IP Address
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NAT commonly used for multi-homing
Many Problems... (though most problems go away with IPv6)
Including load balance
NAT selects a link, translates internal private address into corresponding global public address
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Tunnels
Site addresses are permanent
Core maintains routes to edge routers only
Edge routers know how to tunnel packets to each other
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Tunnels
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Tunnels
Recently suggested for global routing Routing Research Group (RRG) in IRTF (many proposals)
Main issue is how to distribute global mapping table Cache versus full, push versus pull, failure recovery . . .
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So many ideas, so little impact! Identify Find a Path
IP Address
IP Address
Routing Protocol
IP Address ID
Public IP Address
Domain Name
Private IP Address
Public IP Address
IP Address
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So many ideas, so little impact!
Industry impact in networking is hard
Standards: IETF, IEEE, ITU . . .
All players must see short term $$$$
Vendors: OS, host, network gear . . .
Providers: ISP, enterprise, data center . . .
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Virtual Aggregation
Easily order-of-magnitude Reduces routing table size
Latency and load
Config changes only No software or protocol changes
ISPs can independently and autonomously deploy
Negligible performance penalty
[BF08]
CRIO [ZF06]
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Never-the-less, disrupts network operation
Chance of Impact?
No standards or vendors Only one player involved (ISP)
New configuration must be error-free
Addresses specific pain point ISPs need to upgrade router due to FIB size
ISPs are risk averse
(Note that this may hurt router vendors)
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Today: All routers have routes to all destinations
Dest Next Hop 20.5/16 1.1.1.1 36.3/16 2.1.1.1 . . . .
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Virtual Aggregation: Routers have routes to only part of the address space
Virtual Prefixes
Dest Next Hop 20.5/16 1.1.1.1 . . . .
Dest Next Hop 188.3/16 2.1.1.1 . . . .
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“Aggregation Point” routers for the red Virtual Prefix
Virtual Prefixes
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Paths through the ISP have two components:
1: Route to a nearby Aggregation Point
2: Tunnel to the neighbor router
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1: Routing to a nearby Aggregation Point
Configure Aggregation Point with static route for the Virtual Prefix
Virtual Prefix is advertised into BGP
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2: Tunnel packet to neighbor router (MPLS)
Static routes for all neighbors are imported into OSPF
MPLS LDP creates tunnels to every neighbor router
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4.4.4.4 IP
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Tag=17 identifies 1.1.1.1, routes packet to egress
4.4.4.4 IP
17 MPLS
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4.4.4.4 IP
Egress strips MPLS before giving to 1.1.1.1
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Virtual Aggregation paths can be longer than shortest path
Adds to both latency and load
Basic table-size versus overhead trade-off
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Neighbor routers require full routing tables!
How can an Aggregation Point router peer with a neighbor router?
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Use a Route Reflector (RR) to peer with neighbors
Hierarchy of RR’s are used by ISPs today to help scale iBGP (interior BGP)
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Route Reflectors (RR) filter out prefixes from neighbors and assigns to aggregation point routers
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RR’s don’t forward packets, so don’t need (expensive) line card FIB memory
ASIC FIB
Line Card
CPU RIB
Route Processor
LC LC
RR doesn’t need fast FIB memory---full routing table stored in RR RIB only
Routers need fast FIB, but only need to store partial routing table
RR’s scale by number of neighbors (hierarchical organization)
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Configuration Testbed
WAIL (Wisconsin Advanced Internet Lab)
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Minimizing Overhead
Traffic volume follows a power-law distribution
This has held up for years 95% of traffic goes to 5% of prefixes
Install “Popular Prefixes” in routers On a per-POP or per-router basis Different POPs have different popular prefixes Popular prefixes are stable over weeks
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Performance Study
Data from a large tier-1 ISP
Naive AP deployment: A POP has either (redundant) AP’s for all virtual prefixes, or no virtual prefixes
Vary number of Aggregation Points (AP) and number of popular prefixes
Topology and traffic matrix
Naive popular prefixes deployment: same popular prefixes in all routers
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Install 1.5% of popular prefixes in all routers
Stretch versus FIB size
Worst-case Stretch Worst-case FIB Size
Average FIB Size Average Stretch
% of Aggregating POPs
Stre
tch
(ms)
FIB
Siz
e (%
of f
ull r
outin
g ta
ble)
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Cuts FIB in half (2004 level), virtually no stretch
1989 2008
250000
0
Worst-case Stretch Worst-case FIB Size
Average FIB Size Average Stretch
% of Aggregating POPs
Stre
tch
(ms)
FIB
Siz
e (%
of f
ull r
outin
g ta
ble)
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Cuts FIB five times (1996 level), worst case 2ms stretch
1989 2008
250000
0
Worst-case Stretch Worst-case FIB Size
Average FIB Size Average Stretch
% of Aggregating POPs
Stre
tch
(ms)
FIB
Siz
e (%
of f
ull r
outin
g ta
ble)
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0 2 4 6 8
10 12
’26(2.6M)
’24(2M)
’20(1.2M)
’16(.71M)
’12(.42M)
2008(.25M)
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16
Ave
rag
e L
oa
d I
ncre
ase
(% o
f n
ative
lo
ad
)
Pa
th-le
ng
th I
ncre
ase
(# o
f h
op
s)
Year (Predicted FIB Size in parenthesis)
Load IncreasePath-length Increase
Year (predicted FIB size) Aver
age
Load
Incr
ease
(%
of n
ativ
e lo
ad)
Pat
h-le
ngth
Incr
ease
(#
of h
ops)
Load Increase Path-length Increase
Load and path-length over time
Assume 240K FIB entries (current routers)
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0
20
40
60
80
100
20151053210 0
20
40
60
80
10028231813111098
% o
f T
raff
ic I
mp
acte
d
Ave
rag
e L
oa
d I
ncre
ase
(% o
f n
ative lo
ad
)
% of prefixes considered popular
Worst-case FIB size (% of DFZ routing table)
Traffic ImpactedIncreased Load
Load versus FIB size
% of popular prefixes % o
f tra
ffic
impa
cted
Aver
age
Load
Incr
ease
(%
of n
ativ
e lo
ad)
Worst-case FIB size (% of full routing table)
Roughly 50 % aggregating POPs
Increased Load Traffic Impacted
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Time to install full routing table
VA with RRs
No VA
273s
124s
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Is this a “real” solution???
Dependency on traffic matrix unfortunate
Global convergence time and update frequency unchanged
Reduction is not log(N) Rather, we reduce slope of growth
RR’s still require full routing table, ISPs exchange full routing table
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Current status and thinking
Router vendor (Huawei) is implementing VA natively
Pushing in IETF
Next: Use similar “divide and conquer” approach to shrink RIB size and processing
http://tools.ietf.org/html/draft-francis-intra-va-00
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[F91] "Efficient and Robust Policy Routing using Multiple Hierarchical Addresses," SIGCOMM 91
[FE93] Tony Eng “Extending the Internet through Address Reuse," SIGCOMM CCR 1993
[F94] "Comparison of Geographical and Provider-rooted Internet Addressing," Computer Networks and ISDN Systems 27(3)437-448, 1994
[FG94] Ramesh Govindan "Flexible Routing and Addressing for a Next Generation IP," SIGCOMM 94
[GF01] Ramakrishna Gummadi “IPNL: A NAT-Extended Internet Architecture,” SIGCOMM 2001
[ZF06] Joy Zhang, Jia Wang “Scaling Global IP Routing with the Core Router-Integrated Overlay,“ ICMP 2006
[GF07] Saikat Guha "An End-Middle-End Approach to Connection Establishment," ACM SIGCOMM 2007
[BF08] Hitesh Ballani, Tuan Cao, Jia Wang
“ViAggre: Making Routers Last Longer," ACM Hotnets 2008, NSDI 2009