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Direct Execution of OLSR MANET Routing Daemon in NS-3 Evgeni Bikov, Pavel Boyko IITP RAS, Moscow.

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Presentation on theme: "Direct Execution of OLSR MANET Routing Daemon in NS-3 Evgeni Bikov, Pavel Boyko IITP RAS, Moscow."— Presentation transcript:

1 Direct Execution of OLSR MANET Routing Daemon in NS-3 Evgeni Bikov, Pavel Boyko IITP RAS, Moscow

2 Overview Questions: – Can the ns-3-dce framework run unmodified OLSRd routing daemon? – Does it match the out of box ns-3 OLSR model? – Can it be used instead of model in large scale simulation campaigns? Answer: yes … almost

3 Motivation MANET routing protocol models are difficult to verify. 3X more verification when model coexists with the “real” implementation! SpecificationImplementationModel

4 Direct Code Execution Run [as much as possible] unmodified ”implementation” code instead of model in simulated environment. Methods: – Virtual machines; – Manual source modifications (AODV-UU); – Automatic source modifications (NSC).

5 NS-3-DCE Framework No source code patching: – custom ELF loader with automatic globalization; – custom process and thread management; – glibc API reimplemented to use NS-3 API; – netlink API reimplemented. Shown to run Zebra routing daemon. Now runs Linux kernel as well as user space applications.

6 OLSRd Production quality OLSR implementation. ~80 KLOC in C, user space, portable, BSD license. Widely used in community mesh networks, O(10K) installations worldwide: – 12K+ operating nodes, Spain – Austria Large number of RFC extensions; plugin architecture. OLSRv2 implementation in progress.

7 Running OLSRd on NS-3-DCE OLSRd appeared to be quite demanding to glibc implementation quality (good test case) But finally it runs Now how to check that NS-3-DCE executes OLSRd correctly? – read PCAPs; – compare to virtual machine execution; – compare to out of box NS-3 OLSR model.

8 OLSRd vs. ns3::olsr::RoutingProtocol Small static topologies Steady state simulation No traffic apart OLSR Observables: – routing tables @ all nodes; – mean packet size (B); – mean packet rate (1/s). Results: – all routing tables match; – mean packet size and rate: up to 2X difference.

9 Calibration Find and fix the differences between OLSRd and NS-3 OLSR model until observables match. Differences found: – default timeouts OLSRd modified; – HELLO compression model modified; – message aggregation model modified; – message jitter OLSRd modified. After calibration observables match within 1-5%.

10 Example: Message Jitter RFC NS-3 OLSR model OLSRd

11 Comparison: Transient Behavior 100 nodes Static random positions No traffic Mean known route length (top) Number of known destinations (bottom) Similar behavior, but difference >> stddev.

12 Comparison: Steady State Good: average steady state route length matches. Bad: up to 2x difference in average packet size and average packet rate. Calibration made for small networks does not help at larger scale. Need more accurate message compression and aggregation mechanisms in the model.

13 Comparison: Performance OLSRd outperforms model at 100 nodes

14 Conclusions Use model at the early stages of MANET routing protocol design/research. Finally discard model and switch to DCE of implementation. Use calibration procedure in between to test model and implementation against each other.

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