1 cs 352 internet technology routing richard martin dept. of computer science rutgers university
TRANSCRIPT
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CS 352Internet Technology
Routing
Richard Martin
Dept. of Computer Science
Rutgers University
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Forwarding vs Routing
• Routing is the decision which path to take
• Forwarding is the lookup once the decision has been made These functions are typically decoupled in
real systems
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Routing Algorithms
• A routing algorithm decides which output link an incoming packet should be transmitted on
• A routing “table” contains the mappings from the networks and host addresses to output ports on the router
• The routing algorithm builds this “table”
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Forwarding
• A forwarding algorithm performs the lookup of address to output port
• In connection-oriented service, the forwarding algorithm is performed by switches and only during connection setup
• In connectionless service, the forwarding algorithm is performed by routers every time a packet arrives
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Example Routing Table
remus:/ug/u1/rmartin%netstat -rn
Routing Table:
Destination Gateway Flags Ref Use Interface
-------------------- -------------------- ----- ----- ------ --------
128.6.13.0 128.6.13.3 U 3 4259 hme0
224.0.0.0 128.6.13.3 U 3 0 hme0
default 128.6.13.21 UG 02184931
127.0.0.1 127.0.0.1 UH 0 346400 lo0
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Routing Algorithms
• Two types of routing algorithms:
Non-Adaptive Routing Algorithms
Adaptive Routing Algorithms• Hierarchical Routing is used to make these
algorithms scale to large networks
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Non-Adaptive Routing Algorithms
• Non-adaptive routing algorithms do not base their routing decisions on the current state of the network
• Examples: Flooding Shortest Path Routing
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Flooding Algorithm
• Every incoming packet is sent out on every outgoing line except the one it arrived on No routing table, no lookup!
• Problem: Vast number of duplicated packets
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Reducing Flooding Algorithm’s Duplicate Packets
• Solution 1: Hop counter Have a hop counter in the packet header Routers decrement each arriving packet’s hop
counter Routers discard a packet with hop count=0 Ideally, the hop counter should be initialized to the
length of the path from the source to the destination
Hop count defines the “Horizon” of the packet, which is how far a node can “see”.
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Reducing Flooding Algorithm’s Duplicate Packets (cont’d)
• Solution 2: Sequence Numbers Require the first router hop to put a sequence
number in each packet it receives from its hosts Each router maintains a table listing the sequence
numbers it has seen from each first-hop router. The router can then discard packets it has already seen.
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Flooding Uses
• Used in small networks or limited horizon order 100’s of nodes
• Military A pplications Large number of routers is desirable If one router is taken out (by a bomb?) flooding will
still get packets to their destinations
• Distributed Databases Simultaneous updates of multiple databases can
be done with a single packet transmission Gnutella search is an example, uses horizon
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Shortest Path Routing
• For a pair of communicating hosts, there is a shortest path between them
• Shortness may be defined by: Number of router/switch hops Geographic distance Link delay
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Shortest Path
A
B
C E
FD
3
1
2
4
2
3
2
Edge Weight(Distance)
What is the shortest path between A and F?
1
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Computing the Shortest Path
• Dijkstra’s Shortest Path Algorithm: Step 1: Draw nodes as circles. Fill in a circle to mark it as a
“permanent node.” Step 2: Set the current node equal to the source node Step 3: For the current node:
– Mark the cumulative distance from the current node to each non-permanent adjacent node. Also mark the name of the current node. Erase this marking if the adjacent node already has a shorter cumulative distance marked
– Mark the non-permanent node with the shortest listed cumulative distance as permanent and set the current node equal to it. Repeat step 3 until all nodes are marked permanent.
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Dijskstra’s Shortest Path AlgorithmExample
A
B
G
E F
C
H
D
7
4
2
2
4
1
2 3
2
3
2
Selected edge
Candidate edgeNot visited
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Dijskstra’s Shortest Path AlgorithmExample
A
B
G
E F
C
H
D
7
4
2
2
6
1
2 3
2
3
2
Selected edge
Candidate edgeNot visited
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Dijskstra’s Shortest Path AlgorithmExample
A
B
G
E F
C
H
D
7
4
2
2
6
1
2 3
2
3
2
Selected edge
Candidate edgeNot visited
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Dijskstra’s Shortest Path AlgorithmExample
A
B
G
E F
C
H
D
7
4
2
2
6
1
2 3
2
3
2
Selected edge
Candidate edgeNot visited
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Dijskstra’s Shortest Path AlgorithmExample
A
B
G
E F
C
H
D
7
4
2
2
6
1
2 3
2
3
2
Selected edge
Candidate edgeNot visited
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Dijkstra’s Algorithm
step N D(B),p(B) D(C),p(C) D(D),p(D) D(E),p(E) D(F),p(F)
0 A 2,A 5,A 1,A
1 AD 2,A 4,D 2,D
2 ADE 2,A 3,E 4,E
3 ADEB 3,E 4,E
4 ADEBC 4,E
5 ADEBCF
A F
E
C
D
B2
2
5
1
1
2
3
5
1
3
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Shortest Path Routing (cont’d)
• Non-adaptive, if: geographical distances are used as edge weights maximum link throughputs are used as edge
weights Number of IMP hops are used as edge weights
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Adaptive Routing Algorithms
• Problems with non-adaptive algorithms If traffic levels in different parts of the subnet
change dramatically and often, non-adaptive routing algorithms are unable to cope with these changes
Lots of computer traffic is bursty, but non-adaptive routing algorithms are usually based on average traffic conditions
• Adaptive routing algorithms can deal with these situations
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Adaptive Routing Algorithms (cont’d)
• Three Types: Centralized Adaptive Routing Isolated Adaptive Routing Distributed Adaptive Routing
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Centralized Adaptive Routing
• Routing table adapts to network traffic• A routing control center is somewhere in the
network• Periodically, each router forwards link status
information to the control center• The center can, with Dijkstra’s shortest path
algorithm, compute the best routes• Best routes are dispatched to each router
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Problem with Centralized Algorithms
• Vulnerability If the control center goes down, routing becomes
non-adaptive
• Scalability The control center must handle a great deal of
routing information, especially for larger networks
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Isolated Adaptive Routing Algorithms
• Routing decisions are made only on the basis of information available locally in each router
• Examples: Hot Potato Backward Learning
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Hot Potato Routing
• When a packet arrives, the router tries to get rid of it as fast as it can by putting it on the output line that has the shortest queue
• Hot potato does not care where the output line leads
• Not very effective
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Backward Learning Routing
• Packet headers include destination and source addresses. They also include a hop counter
• Network nodes, initially ignorant of network topology, acquire knowledge of the network state as packets are handled
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Backward Learning
• Algorithm: Routing is originally random A packet with a hop count of one is from a directly connected
node; thus, neighboring nodes are identified with their connecting links
A packet with a hop count of two is from a source two hops away, etc.
As packets arrive, the router compares the hop count for a given source address with the minimum hop count already registered; if the new one is less, it is substituted for the previous one
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Distributed Routing Algorithms
• Each router periodically exchanges routing information (e.g., estimated time delay, queue length, etc.) with its neighbors
• Examples: Distance Vector Routing Link State Routing
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Distance Vectors
• Each router maintains lists of best-known distances to all other known routers. These lists are called “vectors.”
• Each router is assumed to know the exact distance (in delay, hop count, etc.) to other routers directly connected to it.
• Periodically, vectors are exchanged between adjacent routers, and each router updates its vectors.
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Distance Vectors (cont’d)
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Convergence Speed
• Supposed all routers know the current state of the network
• Next, a change in link-status happens
• How fast the routers learn new state of the network is the “convergence” speed
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Problem: Count-to-Infinity
• With distance vector routing, links coming on line converge quickly but link failures converge slowly
• This problem for DV routing algorithms is call “count-to-infinity”
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Count-to-Infinity
A B C D E
1 2 3 4
3 2 3 4
3 4 3 4
5 4 5 4
5 6 5 6
7 6 7 6
Initially
After 1 exchange
After 2 exchanges
After 3 exchanges
After 4 exchanges
After 5 exchanges
etc… to infinity
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Split Horizon
• Insight: It’s not useful to claim reachablility for a destination to the neighbor from which the route was learned
• Don’t report routes back to node from which the route was learned E.g. If I hear from X has the shortest route
to Y, don’t report to X I have a route to Y
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Poison Reverse
• Not reporting a route means having to wait for a timeout
• Report “split-horizon” routes as infinity to break loops on the first routing exchange.
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Split Horizon with Poisoned Reverse
A B C D E
inf. 2 3 4
inf. 2 3 4
inf. inf. 3 4
inf. inf. inf. 4
inf. inf. inf. inf.
B learns A is dead
After 1 exchange
After 2 exchanges
After 3 exchanges
C reports to B that A’s metric is inf.
inf.
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Split Horizon Failure
A B
C
D
If D goes down, A and B will still count to infinity.
Split-Horizon infinity messages are sent from A->C and B->C, not A<->B
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Link State Routing
• Each router measures the distance (in delay, hop
count, etc.) between itself and its adjacent routers
• The router builds a packet containing all these
distances. The packet also contains a sequence
number and an age field.
• Each router distributes these packets using flooding
• Each router builds map of the entire network, uses a
shortest-path algorithm
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Link State Routing (cont’d)
• To control flooding, the sequence numbers are used by routers to discard flood packets they have already seen from a given router
• The age field in the packet is an expiration date. It specifies how long the information in the packet is good for.
• Once a router receives all the link state packets from the network, it can reconstruct the complete topology and compute a shortest path between itself and any other node using Dijsktra’s algorithm.
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Hierarchical Routing
• All routing algorithms have difficulties as the network becomes large
• For large networks, the routing tables grow very quickly, and so does the number of flood packets
• How can this be reduced? Hierarchical routing
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Hierarchical Routing (cont’d)
• Segment the network into regions• Routers in a single region know all the details
about other routers in that region, but none of the details about routers in other regions
• Analogy: Telephone area codes
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Hierarchical Routing (cont’d)
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RIP
• Route Information Protocol• One of the routing algorithms used by the
Internet• Based on distance vector routing• Did not scale well
suffered the count-to-infinity problem weak security
• RIP is phased out for large backbones but still widely used for smaller networks
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OSPF
• Open Shortest Path First• Routing algorithm now used in the Internet• OSPF uses the Link State Routing algorithm with
modifications to support: Multiple distance metrics (geographical distance,
delay, throughput) Support for real-time traffic Hierarchical routing Security
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OSPF (cont’d)
• OSPF divides the network into several hierarchies: Autonomous Systems (AS’s)
– groups of subnets Areas
– Groups of routers within an AS Backbone Areas
– Groups of routers that connect other areas together
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OSPF (cont’d)
Area
Area
BackboneArea
Autonomous System
Area
Area
BackboneArea
Autonomous System
Area
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OSPF (cont’d)
• Routers are distinguished by the functions they perform Internal routers
– Only route packets within one area Area border routers
– Connect to areas together Backbone routers
– Reside only in the backbone area AS boundary routers
– Routers that connect to a router outside the AS
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OSPF: Modified Link State Routing
• Recall: In link state routing, routers flood their routing information to
all other routers in the network• In OSPF, routers only send their information to “adjacent
routers”, not to all routers.• Adjacent does NOT mean nearest-neighbor in OSPF• One router in each area is marked as the “designated router”• Designated routers are considered adjacent to all other routers
in the area• OSPF combines link state routing with centralized adaptive
routing
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OSPF: Adjacency
A
B
C
D
E
DesignatedRouter
Area
F
To backbonearea
Example:C is “adjacent” to B but not to A or EB is “adjacent” to all routers in the area
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Mobile Routing
• How to deal with mobile computers?
• Want a single network address to route to a single computer, wherever it is. Example: Cell phone number allways
contacts a single device, even when changing access points.
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Motivating Mobility
Radio Media M is a mobile host
A
B
C E
FD
3
1
2
4
2
3
2
1
M
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Motivating Mobility
Radio Media M is a mobile host
Now M can only contact C
Update all routingtables?
A
B
C E
FD
3
1
2
4
2
3
2
1
M
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Mobility Solutions
• Home agent: Keeps track of a Mobile’s position in fixed network Serves as the contact point for M
• Foreign agent: Record all mobile agents in area. Act as mobile’s representative in local area
• Tunneling: Sending a layer N(3) packet in layer N.
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Mobility Example
S
F
H
M
(2) Mobile registers withforeign agent
(3) Foreign and Home agents authenticate
(1) Mobile broadcasts to find foreign agent
(4)Traffic from S to M routed to H and tunneled through H<->F
1,2
3
4
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