1 Performance Evaluation of Ring- based Peer-to-Peer Virtual Private Network (RING-P2P-VPN) Hiroyuki Ohsaki Graduate School of Information Sci. & Tech.

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Presentation transcript:

1 Performance Evaluation of Ring- based Peer-to-Peer Virtual Private Network (RING-P2P-VPN) Hiroyuki Ohsaki Graduate School of Information Sci. & Tech. Osaka University, Japan

2 1. State Goals and Define the System Goals Quantitatively evaluate performance of RING-P2P-VPN Confirm feasibility of RING-P2P-VPN in realistic environment Analyze effectiveness of several improvement options Bi-directional tunnel Dynamic signaling (i.e., GWDP) frequency control Periodic round-trip time resampling QoS-aware gateway selection (e.g., bandwidth, latency) Priority control for SYN/SYN ACK packets

3 1. State Goals and Define the System (Cont’d) System Definition SUT (System Under Test) RING-P2P-VPN network including... Underlying IP network (routers and links) VPN gateways End hosts CUS (Component Under Study) Bi-directional tunnel Dynamic signaling (i.e., GWDP) frequency control Periodic round-trip time resampling QoS-aware gateway selection (e.g., bandwidth, latency) Priority control for SYN/SYN ACK packets

4 2. List Services and Outcomes Services Provided Dynamic VPN topology configuration/reconfiguration VPN entity discovery/joining/removal Secure communication among VPN gateways Minimum resource usage at VPN gateways Outcomes Higher connectivity between end hosts (Possibly) lower transmission delay Smaller number of IPsec tunnels maintained at VPN gateways

5 3. Select Metrics Speed (case of successful service case) Individual TCP/UDP throughput, latency, packet loss probability Global VPN configuration time VPN throughput, latency, packet loss probability Total # of IPsec tunnels Reliability (case of error) None Availability (case of unavailability) Global VPN reconfiguration time (i.e., VPN recovery time)

6 4. List Parameters System parameters Network related Topology Link bandwidth, latency, loss ratio Queue size and discipline (e.g., DropTail or RED) VPN gateway related Failure rate Ad-hoc tunneling threshold (IPSec signaling delay?) Workload parameters # of VPN gateways # of TCP/UDP flows, TCP/UDP traffic pattern Background traffic pattern

7 5. Select Factors to Study System parameters Network related Topology ( nodes, random or tier) Link bandwidth (1-100Mbps), latency ( ms), loss ratio Queue size and discipline (e.g., DropTail or RED) VPN gateway related Failure rate (0, 0.001, 0.01, 0.1) Ad-hoc tunneling threshold (IPsec signaling delay?) ( ms) Workload parameters # of VPN gateways # of TCP/UDP flows, TCP/UDP traffic pattern Background traffic pattern

8 6. Select Evaluation Technique Use analytical modeling? No Use simulation? Yes Use measurement of real system? No

9 7. Select Workload # of VPN gateways: TCP flows Persistent traffic (simulating FTP traffic) # of TCP flows: Bursty traffic (simulating Web traffic) # of TCP flows: UDP flows Persistent traffic (exponentially distributed) UDP traffic rate: % of the link bandwidth Background traffic 30% of the bottleneck link bandwidth

10 8. Design Experiments First phase (many factors & few levels) System parameters Network related Topology (40 nodes, random) Link bandwidth (10Mbps), latency (1-10ms), loss ratio Queue size and discipline (e.g., DropTail or RED) VPN gateway related Failure rate (0) Ad-hoc tunneling threshold (IPsec signaling delay?) (100ms) Workload parameters # of VPN gateways (20) # of TCP/UDP flows (10 TCP), TCP/UDP traffic pattern (persistent) Background traffic pattern (30%) Second phase (few factors & many levels) Not yet

11 9. Analyze and Interpret Data Not yet

Present Results Not yet