1. 1 How scalable is the capacity of (electronic) IP routers? Nick McKeown Professor of Electrical Engineering and Computer Science, Stanford University nickm@stanford.edu http://www.stanford.edu/~nickm

2. 2 Why ask the question? Widely held assumption: Electronic IP routers will not keep up with link capacity. Background: Router Capacity = (number of lines) x (line-rate) Biggest router capacity 4 years ago ~= 10Gb/s Biggest router capacity 2 years ago ~= 40Gb/s Biggest router capacity today ~= 160Gb/s Next couple of generations: ~1-40Tb/s

3. 3 Why it’s hard for capacity to keep up with link rates Packet processing power Link rate

4. 4 Why it’s hard for capacity to keep up with link rates 0,1 1 10 100 1000 10000 1985199019952000 Fiber Capacity (Gbit/s) TDMDWDM Packet processing PowerLink Speed 2x / 2 years2x / 7 months Source: SPEC95Int & David Miller, Stanford.

5. 5 Instructions per packet time Instructions per packet What we’d like: (more features) QoS, Multicast, Security, … What will happen

6. 6 What limits a router’s capacity? It’s a packet switch: –Must be able to buffer every packet for an unpredictable amount of time. Hop-by-hop routing: –Once per ~1000bits it must index into a forwarding table with ~100k entries. [Optional QoS support –Very complex per-packet processing] Limited by memory random access time

7. 7 What really limits the capacity? At first glance: the random access time to memory. In fact, this can be solved by more parallelism (replication and pipelining). Dilemma: But parallelism requires more power and space.

8. 8 What really limits the capacity? Suggestion: –Don’t assume optics will oust CMOS in IP routers because of increased system capacity. –It might oust CMOS because of reduced (power x space) for a given capacity.

9. 9 Outline A brief history of IP routers Where they will go next –Incorporating optics into routers –More parallelism (with or without optics)

10. 10 Route Table CPU Buffer Memory Line Interface MAC Line Interface MAC Line Interface MAC Typically <0.5Gb/s aggregate capacity First Generation Routers Shared Backplane Line Interface CPU Memory

11. 11 First Generation Routers Queueing Structure: Centralized Shared Memory Large, single dynamically allocated memory buffer: N writes per “cell” time N reads per “cell” time. Limited by memory bandwidth. Numerous work has proven and made possible QoS: –Fairness –Delay Guarantees –Delay Variation Control –Loss Guarantees –Statistical Guarantees Memory Controller Memory Controller Output 1 Output 2 Output N Input 1 Input 2 Input N

12. 12 Second Generation Routers Route Table CPU Line Card Buffer Memory Line Card MAC Buffer Memory Line Card MAC Buffer Memory Fwding Cache Fwding Cache Fwding Cache MAC Buffer Memory Typically <5Gb/s aggregate capacity

13. 13 Second Generation Routers Queueing Structure: Combined Input and Output Queueing Bus 1 write per “cell” time1 read per “cell” time Rate of writes/reads determined by bus speed

14. 14 Third Generation Routers Line Card MAC Local Buffer Memory CPU Card Line Card MAC Local Buffer Memory Switched Backplane Line Interface CPU Memory Fwding Table Routing Table Fwding Table Typically <50Gb/s aggregate capacity

15. 15 Arbiter Third Generation Routers Queueing Structure Switch 1 write per “cell” time1 read per “cell” time Rate of writes/reads determined by switch fabric speedup Per-flow/class or per- output queues (VOQs) Per-flow/class or per- input queues Flow-control backpressure

16. 16 Third Generation Routers 19” or 23” 7’ Size-constrained: 19” or 23” wide. Power-constrained.

17. 17 Complex linecards Physical Layer Framing & Maintenance Packet Processing Buffer Mgmt & Scheduling Buffer Mgmt & Scheduling Buffer & State Memory Buffer & State Memory Typical IP Router Linecard OC192c linecard: ~10-30M gates ~2Gbits of memory ~2 square feet >$10k cost 100’s of Watts Lookup Tables “Backplane” Switch Fabric Arbitration Optics

18. 18 Fourth Generation Routers/Switches Optics inside a router for the first time 0.3 - 10Tb/s routers in development

19. 19 Where next? Incorporating (more) optics into a router. More parallelism (with or without optics).

20. 20 Incorporating optics into a router Replacing the switch fabric with an optical datapath. Increasing the internal “cell” size to reduce rate of arbitration and reconfiguration.

21. 21 Replacing the switch fabric with optics Switch Fabric Arbitration Physical Layer Framing & Maintenance Packet Processing Buffer Mgmt & Scheduling Buffer Mgmt & Scheduling Buffer & State Memory Buffer & State Memory Typical IP Router Linecard Lookup Tables Optics Physical Layer Framing & Maintenance Packet Processing Buffer Mgmt & Scheduling Buffer Mgmt & Scheduling Buffer & State Memory Buffer & State Memory Typical IP Router Linecard Lookup Tables Optics electrical Switch Fabric Arbitration Physical Layer Framing & Maintenance Packet Processing Buffer Mgmt & Scheduling Buffer Mgmt & Scheduling Buffer & State Memory Buffer & State Memory Typical IP Router Linecard Lookup Tables Optics Physical Layer Framing & Maintenance Packet Processing Buffer Mgmt & Scheduling Buffer Mgmt & Scheduling Buffer & State Memory Buffer & State Memory Typical IP Router Linecard Lookup Tables Optics optical Req/Grant Candidate technologies 1.MEMs 2.Fast tunable lasers + passive optical couplers

22. 22 Replacing the switch fabric with optics Most common internal “cell” size is 64 bytes (50ns @ OC192, 12ns @ OC768) Too fast for arbitration Too fast for reconfiguration What we’ll see: –Increased cell length –E.g. switch bursts of cells –But less efficient.

23. 23 More parallelism Parallel packet buffers Parallel lookup tables Multiple parallel routers

24. 24 Multiple parallel routers What we’d like: R RR R The building blocks we’d like to use: R R R R NxN IP Router capacity 100s of Tb/s

25. 25 Why this might be a good idea Larger overall capacity Faster line rates Redundancy Familiarity –“After all, this is how the Internet is built”

26. 26 Multiple parallel routers Load Balancing architectures RR R 1 2 … … k R R R R/k R R R

27. 27 Method #1: Random packet load- balancing Method: As packets arrive they are randomly distributed, packet by packet over each router. Advantages: –Almost unlimited capacity –Load-balancer is simple –Load-balancer needs no packet buffering Disadvantages: –Random fluctuations in traffic  each router is loaded differently Packets within a flow may become mis-sequenced It is not possible to predict the system performance

28. 28 Method #2: Random flow load- balancing Method: Each new flow (e.g. TCP connection) is randomly assigned to a router. All packets in a flow follow the same path. Advantages: –Almost unlimited capacity –Load-balancer is simple (e.g. hashing of flow ID). –Load-balancer needs no packet buffering. –No mis-sequencing of packets within a flow. Disadvantages: –Random fluctuations in traffic  each router is loaded differently It is not possible to predict the system performance

29. 29 Observations Random load-balancing: It’s hard to predict system performance. Flow-by-flow load-balancing: Worst-case performance is very poor. If designers, system builders, network operators etc. need to know the worst case performance, random load-balancing will not suffice.

30. 30 Method #3: Intelligent packet load-balancing Goal: Each new packet is carefully assigned to a router so that: Packets are not mis-sequenced. The throughput is maximized and understood. Delay of each packet can be controlled. We call this “Parallel Packet Switching”

31. 31 Method #3: Intelligent packet load- balancing Parallel Packet Switching 1 2 k 1 N rate, R 1 N Router Bufferless R/k

32. 32 Parallel Packet Switching Advantages –Single-stage of buffering –No excess link capacity –k  power per subsystem  –k  memory bandwidth  –k  lookup rate 

33. 33 Precise Emulation of a Shared Memory Switch NN Shared Memory Switch 1 N Parallel Packet Switch = ? 1 N 1 N

34. 34 Parallel Packet Switch Theorem 1.If S > 2k/(k+2)  2 then a parallel packet switch can precisely emulate a FCFS shared memory switch for all traffic.

35. 35 Example of an IP Router with Parallel Packet Switching 1 2 16 1 1024 160Gb/s rate, R 1 1024 10Tb/s router R/k Overall capacity 160Tb/s

36. 36 My conclusions The capacity of electronic IP routers will scale a long way yet. The opportunity of optics is to reduce power and space –By using optics within the router. –By replacing routers with circuit switches.