1. GREE-SC Project Flow Engineering: Using OpenFlow with QoS for Network Traffic
Fatma Alali
Sujoy Saha
Mehdi Mohammadi
Yimeng Zhao
May 30, 2015

2. Content Introduction Resources and Experiment Setup Experiment Results
Problem Statement
Proposed Approach
Experiment Scenario
Resources and Experiment Setup
Experiment Results
Live Demo
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3. Problem Statement
Mix of large-sized high-rate (elephant) flows and delay-sensitive flows in real networks
Alpha flows have adverse affect on the delay-sensitive flows
How can we prevent bad effect of Alpha flows on other flows while maintaining alpha flows in their high throughput.
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4. Proposed Approach
Assumption: The sources of different flows are identified
i.e. some hosts produces alpha flow and some others generate non-alpha flow.
Solution:
Create two separate queues for each flow with a fair scheduling mechanism
Alpha flows will be moved to their own separate queue in the switch
so that delay-sensitive flows will not be affected
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5. Experiment Design To host 4 Ryu
High bandwidth for elephant flows and least jitter for delay-sensitive flows
queue0
queue1
eth3
OVS
eth0
eth1
eth2
eth3
UDP
ping
nuttcp
Host 1
eth1
Host 2
eth1
Host 3
eth1
eth1
Host 4
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6. Experiment Design
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7. Used Resources and Tools
Kentucky PortoGENI
OpenVSwitch
Ryu Controller
Tools: Linux tools and commands including ssh, tc, curl, nuttcp,…
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8. Experiment Set-up All the traffic will be directed to Host 4
Create two queues at eth3 of the OVS node (eth3 is where host 4 is connected)
Host 1: Run ping test for 200 s
Host 2: Run UDP test (300Mbps) at time 50 and let it run for 150s
Host 3: Run nuttcp TCP test at time 100 and let it run for 100 s
200 50
100
Ping H1->H 4
UDP H1->H 4
Nuttcp H1->H 4 8
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9. Experiment Set-up The NIC rate is 1G 1 queue with FIFO scheduler
2 queues with different schedulers and rate:
HTB: (70%,30%), (60%,40%), (50%,50%)
HTB + SFQ: (70%,30%), (60%,40%), (50%,50%)
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10. Experiment Results
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11. Experiment Results
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12. Experiment Results
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13. bandwidth percentage to elephant flow (elephant, other)
Experiment Results
Measurment
bandwidth percentage to elephant flow (elephant, other)
(70%,30%)
(60%,40%)
(50%,50%)
HTB_mean (ms)
2.6587
2.1428
HTB_std
2.5702
1.9665
HTB+SFQ_mean (ms)
1.566
1.6524
1.6457
HTB+SFQ_std
1.3698
1.502
1.4902
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14. Conclusion
Our experiment confirms that Alpha flows increase the jitter of delay-sensitive flows
With two queues with HTB+SFQ combination we can get good throughput for elephant flows with less jitter for delay- sensitive flows.
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15. Future Work
Tuning the queuing method to find the optimum configuration.
Dynamic identifying of elephant flows and handling with desired QoS support
Investigate the effect of different scheduling algorithms on the throughput of the network
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16. References
Yan, Zhenzhen, Malathi Veeraraghavan, Chris Tracy, and Chin Guok. "On how to provision Quality of Service (QoS) for large dataset transfers." In CTRQ 2013, The Sixth International Conference on Communication Theory, Reliability, and Quality of Service, pp
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17. Live Demo
To be presented
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