5. Packet Analysis Examples
5.1. Example: Analyzing User Data
Let’s consider an example scenario that involves two hosts, each running a Connext application:
Host 1 (10.70.0.246) is running a Connext publishing application, App1.
Host 2 (10.70.0.183) is running a Connext subscribing application, App2.
The QoS for the writer and the reader have been set up to use Reliable communication.
App1 writes user data every four seconds. To create the sample capture file, Wireshark started capturing packets on the subscribing host after the discovery process completed, using the following capture filter:
rtps && (ip.src == 10.20.1.86 || ip.dst == 10.10.30.100)
Figure 5.1 below shows the packets captured by Wireshark, which include three types of RTPS packets:
Data from the writer to the reader.
Acknowledgements from the reader to the writer.
Heartbeats sent regularly from the writer to the reader.
Table 5.1 and Figure 5.2 describe the trace shown in Figure 5.1.
Packet # |
Direction |
Description |
---|---|---|
1 |
App1 -> App2 |
Data packet sent to the reader, containing both INFO_TS and DATA submessages. The packet has a sequence number = 2 (expand the protocol tree in the Packet Details pane and check the writerSeqNumber value, as seen in Figure 5.3 below.) |
2 |
App1 -> App2 |
HEARTBEAT from writer to reader. |
3 |
App1 <- App2 |
ACKNACK to acknowledge all data packets up to, but not including, sequence number 3 (expand the protocol tree in the Packet Details pane and check the readerSNState.bitmapBase value). |
4 |
App1 -> App2 |
Another data packet (sequence number 3). |
5 |
App1 -> App2 |
HEARTBEAT from writer to reader. |
6 |
App1 <- App2 |
ACKNACK to acknowledge packet # 4. |
7 |
App1 -> App2 |
Another data packet (sequence number 4). |
8 |
App1 -> App2 |
HEARTBEAT from writer to reader. |
9 |
App1 <- App2 |
ACKNACK to acknowledge packet # 7. |
To examine a packet in the Packet List:
Click on an RTPS packet.
Expand the submessage details under “Real-Time Publish-Subscribe Wire Protocol” and expand the submessages to examine them.
5.2. Example: Analyzing Discovery Data Sample Trace
Consider an example scenario that involves two hosts, each running one Connext application.
Host 1 (10.10.100.65) is running a Connext publishing application, App1.
Host 2 (10.10.30.100) is running a Connext subscribing application, App2.
Both applications have a maximum participant index of 1 and have each other in their initial_peers list.
All but one QoS are at default values; this default includes the use of automatic discovery via the default UDPv4 transport. The one non-default QoS sets both applications’ initial_participant_announcements to 1, because this reduces the number of redundant announcements in the example trace.
Wireshark was set up to start capturing packets before either application was started. The publishing application was started first, followed (about 6 seconds later) by the subscribing application. Figure 5.4 shows the packets captured by Wireshark.
Let’s walk through the RTPS packets to understand what occurred in this sequence. Table 5.2 describes what happened (non-RTPS packets are omitted). In the table, the term “meta DATA” refers to DATA packets containing meta (discovery) data (as opposed to user data).
Packet #’s |
Direction |
Description |
---|---|---|
1-12 |
App1 -> App2 |
When the writer participant starts, Connext announces the creation of a new participant to all potential participants in the initial_peers list. Potential participants are initially calculated as: for each peer in the initial_peers list, peer/participant(i), where i <= maximum participant index. Since the participant’s maximum participant index is 1 and the initial_peers list contains only 10.10.30.100, the potential participant list is {10.10.30.100/participant(0), 10.10.30.100/participant(1)}. Since each participant gets its own receive locator, we send separate (but identical) packets to each potential participant listening on its own locator. Before sending packets with participant information, the participant sends a PING packet to each receive locator (as packets #1 and #2). These packets serve to prime ARP tables and to see if the locators are reachable destinations. Since there is no other Connext application in the same domain, these locators are unreachable (packets #3 and #4). Because the participant is newly created, it sends its information to each locator (as packets #5 and #6). These are to unreachable destinations (packets #7 and #8). It then again sends its information (packets #9 and #10), in accordance with its initial_participant_announcements QoS of 1. Again, these are to unreachable destinations (packets #11 and #12). |
13-18 |
App1 <- App2 |
Similar to the writer participant, when the reader participant starts, Connext announces the new participant. Note: The destination of the writer participant is reachable, so no “unreachable destination” packets are generated. |
19-20 |
App1 -> App2 |
When the writer participant learns about the new reader participant, it uses HEARTBEATs and ACKNACKs from its builtin discovery endpoints to tell the reader participant about the writer and readers it has. First, it tells the reader participant about its builtin participant liveliness reader (packet #19) and writer (packet #20). |
21-22 |
App1 -> App2 |
Repeat announcements about the writer participant, which reduces the chance that the newly created reader participant will drop the reply from the writer participant. |
23-24 |
App1 -> App2 |
HEARTBEATs telling the reader participant how many readers (0) and writers (1) it has. The reader participant will know from this that it has to get a meta DATA from the writer. Note: To be precise, each meta DATA reflects a change to the state of the writer or reader. The number of writer samples would increase if the writer was changed or deleted. |
25 |
App1 -> App2 |
Writer participant packet #22 for reader participant index 1 was not reachable, because the reader participant was created with participant ID 0. |
26-27 |
App1 -> App2 |
ACKNACKs telling the reader participant that builtin discovery readers for publications and subscriptions are created. |
28 |
App1 <- App2 |
Reader participant begins to announce its builtin discovery endpoints after receiving the writer participant’s announcements. ACKNACK from the reader participant’s builtin participant liveliness. |
29-30 |
App1 <- App2 |
Re-announcements of reader participant info, triggered by receiving the writer announcements. |
31-35 |
App1 <- App2 |
Initial HEARTBEATs and ACKNACKs from the reader participant’s builtin discovery endpoints, indicating it has one reader and no writers. |
36 |
App1 <- App2 |
ACKNACK in response to HEARTBEAT packet #24, requesting that the writer participant’s builtin publication writer resend the meta DATA for its writer. |
37-39 |
App1 <- App2 |
HEARTBEATs in response to writer ACKNACKs, announcing that the reader participant has one reader and no writers. |
40 |
App1 -> App2 |
Initial HEARTBEAT from participant liveliness writer, of no samples written. |
41 |
App1 <- App2 |
ACKNACK from participant liveliness reader, of no samples received. |
42-43 |
App1 -> App2 |
ACKNACK from writer participant for reader participant to resend the meta DATA for its reader. |
44 |
App1 <- App2 |
Further HEARTBEATs from the reader participant. |
45 |
App1 -> App2 |
Resent meta DATA about the reader, sent in response to the ACKNACK of packet #41. |
46-49 |
App1 <- App2 |
Resent meta DATA about the writer, sent in response to the ACKNACK of packet #36. |
50 |
App1 -> App2 |
Ping from the application writer to the application reader’s locator. |
51-53 |
App1 -> App2 |
Writer finally sends user DATA to the reader. |