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TIBCO Rendezvous® 8.7.0

# Using rvlat

`rvlat` runs as a client-server pair. You cannot run several clients with one server, nor vice versa.

We recommend that you write a script to run `rvlat`, redirecting its output streams to capture files (see Output Streams).

Start the server before starting the client.

## Subjects

`rvlat` uses subjects that match `RVLAT.>` to carry its requests, replies, control signals and data. If the network interposes a routing daemon between the client and server, you must configure it to forward these subjects in both directions.

## Test Conditions

Measure latency in a controlled environment. That is, ensure that no other applications are consuming CPU or I/O resources on the two test computers, and that no other applications are consuming network bandwidth. For example:

| • | Terminate all other user applications.

| • | Terminate scheduled jobs (UNIX `cron`), and anything else that uses CPU cycles.

| • | Use a network analyzer to detect other bandwidth usage, and eliminate it.

| • | To reduce variability that can distort latency measurements, you can set the reliability interval to zero.

## Test Strategies

Run a series of trials lasting between 30 seconds and a few minutes.

Set message size to approximate expected data payloads for your applications.

Use serial mode to establish baseline round-trip statistics under uniform low-throughput conditions, and to understand network behavior. Then use batch mode to understand how latency degrades under high-throughput conditions. Vary batch size to simulate the actual data rates of your applications.

## Data Strategies

Capture summaries from several trials in a spreadsheet, so you can easily analyze and manipulate the results.

Large datasets are unwieldy. When it is crucial to capture raw data (with `-datapoints`), use the `-sample` parameter to reduce dataset size.

Use the `-spikes` parameter to capture only the outliers.

## Interpreting Data

Use plotting and statistical tools to graph latency data, visualize patterns, and correlate those patterns with network behavior.

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