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+.. _reconf_tests:
+
+Reconf Tests
+^^^^^^^^^^^^
+
+Overview
+~~~~~~~~
+
+Reconf tests are designed to measure the impact of VPP re-configuration
+on data plane traffic.
+While VPP takes some measures against the traffic being
+entirely stopped for a prolonged time,
+the immediate forwarding rate varies during the re-configuration,
+as some configurations steps need the active dataplane worker threads
+to be stopped temporarily.
+
+As the usual methods of measuring throughput need multiple trial measurements
+with somewhat long durations, and the re-configuration process can also be long,
+finding an offered load which would result in zero loss
+during the re-configuration process would be time-consuming.
+
+Instead, reconf tests find a througput value (lower bound for NDR)
+without re-configuration, and then maintain that ofered load
+during re-configuration. The measured loss count is then assumed to be caused
+by the re-configuration process. The result published by reconf tests
+is the effective blocked time, that is
+the loss count divided by the offered load.
+
+Current Implementation
+~~~~~~~~~~~~~~~~~~~~~~
+
+Each reconf suite is based on a similar MLRsearch performance suite.
+
+MLRsearch parameters are changed to speed up the throughput discovery.
+For example, PDR is not searched for, and final trial duration is shorter.
+
+The MLRsearch suite has to contain a configuration parameter
+that can be scaled up, e.g. number of routes or number of service chains.
+Currently, only increasing the scale is supported
+as the re-configuration operation. In future, scale decrease
+or other operations can be implemented.
+
+The traffic profile is not changed, so the traffic present is processed
+only by the smaller scale configuration. The added routes / chains
+are not targetted by the traffic.
+
+For the re-configuration, the same Robot Framework and Python libraries
+are used, as were used in the initial configuration, with the exception
+of the final calls that do not interact with VPP (e.g. starting
+virtual machines) being skipped to reduce the test overall duration.
+
+Discussion
+~~~~~~~~~~
+
+Robot Framework introduces a certain overhead, which may affect timing
+of individual VPP API calls, which in turn may affect
+the number of packets lost.
+
+The exact calls executed may contain unnecessary info dumps, repeated commands,
+or commands which change a value that do not need to be changed (e.g. MTU).
+Thus, implementation details are affecting the results, even if their effect
+on the corresponding MLRsearch suite is negligible.
+
+The lower bound for NDR is the only value safe to be used when zero packets lost
+are expected without re-configuration. But different suites show different
+"jitter" in that value. For some suites, the lower bound is not tight,
+allowing full NIC buffers to drain quickly between worker pauses.
+For other suites, lower bound for NDR still has quite a large probability
+of non-zero packet loss even without re-configuration.
+
+But the results show very high effective blocked time,
+so the two objections related to NDR lower bound are negligible in comparison.