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Traffic Engineering with Forward Fault Correction (FFC) Hongqiang “Harry” Liu, Srikanth Kandula, Ratul Mahajan, Ming Zhang, David Gelernter (Yale University)

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Presentation on theme: "Traffic Engineering with Forward Fault Correction (FFC) Hongqiang “Harry” Liu, Srikanth Kandula, Ratul Mahajan, Ming Zhang, David Gelernter (Yale University)"— Presentation transcript:

1 Traffic Engineering with Forward Fault Correction (FFC) Hongqiang “Harry” Liu, Srikanth Kandula, Ratul Mahajan, Ming Zhang, David Gelernter (Yale University) 1

2 Cloud services require large network capacity 2 Cloud Services Cloud Networks Growing traffic Expensive (e.g. cost of WAN: $100M/year)

3 TE is critical to effectively utilizing networks 3 Traffic Engineering WAN Network Microsoft SWAN Google B4 …… Datacenter Network Devoflow MicroTE ……

4 But, TE is also vulnerable to faults 4 TE controller Network Network view Network configuration Frequent updates for high utilization Control-plane faults Data-plane faults

5 Control plan faults 5 Failures or long delays to configure a network device TE Controller Switch TE configurations Memory shortage RPC failure Firmware bugs Overloaded CPU

6 Congestion due to control plane faults 6 New Flows (traffic demands): s1 s2 (10) s1 s3 (10) s1 s4 (10) s2 s4 (10) s3 s4 (10)

7 Data plane faults 7 Link and switch failures Rescaling: Sending traffic proportionally to residual paths s2 s4 (10) s3 s4 (10)

8 Control and data plane faults in practice 8 Control plane: fault rate = 0.1% -- 1% per TE update. Data plane: fault rate = 25% per 5 minutes. In production networks: Faults are common. Faults cause severe congestion.

9 State of the art for handling faults Heavy over-provisioning Reactive handling of faults Control plane faults: retry Data plane faults: re-compute TE and update networks 9 Cannot prevent congestion Slow (seconds -- minutes) Blocked by control plane faults Big loss in throughput

10 10 How about handling congestion proactively?

11 Forward fault correction (FFC) in TE 11 [Bad News] Individual faults are unpredictable. [Good News] Simultaneous #faults is small. Network faults Packet loss FFC guarantees no congestion under up to k arbitrary faults. FEC guarantees no information loss under up to k arbitrary packet drops. with careful data encoding with careful traffic distribution

12 Example: FFC for control plane faults Non-FFC 12

13 Example: FFC for control plane faults 13 Control Plane FFC (k=1)

14 Trade-off: network utilization vs. robustness Non-FFC K=1 (Control Plane FFC) K=2 (Control Plane FFC) 14 Throughput: 44 Throughput: 47 Throughput: 50

15 Systematically realizing FFC in TE 15 Formulation: How to merge FFC into existing TE framework? Computation: How to find FFC-TE efficiently?

16 Basic TE linear programming formulations 16 Sizes of flows Deliver all granted flows No overloaded link FFC constraints: Maximizing throughput TE decisions: Traffic on paths Basic TE constraints: TE objective: … … LP formulations

17 Formulating control plane FFC 17 Total load under faults? Challenge: too many constraints

18 An efficient and precise solution to FFC 19

19 Sorting network 19 A comparison 1 st round 2 nd round Complexity: O(kn) additional variables and constraints. Throughput: optimal in control-plane and data plane if paths are disjoint.

20 FFC extensions Differential protection for different traffic priorities Minimizing congestion risks without rate limiters Control plane faults on rate limiters Uncertainty in current TE Different TE objectives (e.g. max-min fairness) … 20

21 Evaluation overview Testbed experiment FFC can be implemented in commodity switches FFC has no data loss due to congestion under faults Large-scale simulation 21 A WAN network with O(100) switches and O(1000) links Injecting faults based on real failure reports Single priority traffic in a well-provisioned network Multiple priority traffic in a well-utilized network

22 FFC prevents congestion with negligible throughput loss FFC Throughput / Optimal Throughput Ratio (%) High priority (High FFC protection) Medium priority (Low FFC protection) Low priority (No FFC protection) Single priority FFC Data-loss / Non-FFC Data-loss 160% <0.01%

23 Conclusions Centralized TE is critical to high network utilization but is vulnerable to control and data plane faults. FFC proactively handle these faults. Guarantee: no congestion when #faults ≤ k. Efficiently computable with low throughput overhead in practice. 23 Heavy network over-provisioning High risk of congestion FFC


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