typo

README-SAR.md

@@ -111,7 +111,7 @@ Optionally, you could deploy your own custom visualization tool and configure th
 
 There are three main costs associated with AWS Lambda Power Tuning:
 
-* **AWS Step Functions cost**: it corresponds to the number of state transitions during the state machine execution; this cost depends on the number of tested power values, and it's approximately `0.000025 * (6 + N)` where `N` is the number of power values; for example, if you test 6 power values, the state machine cost will be $0.0003
+* **AWS Step Functions cost**: it corresponds to the number of state transitions during the state machine execution; this cost depends on the number of tested power values, and it's approximately `0.000025 * (6 + N)` where `N` is the number of power values; for example, if you test the 6 default power values, the state machine cost will be $0.0003
 * **AWS Lambda cost** related to your function's executions: it depends on three factors: 1) number of invocations that you configure as input (`num`), the number of tested power configurations (`powerValues`), and the average invocation time of your function; for example, if you test all the default power configurations with `num: 100` and all invocations take less than 100ms, the Lambda cost will be approximately $0.001
 * **AWS Lambda cost** related to `Initializer`, `Executor`, `Cleaner`, and `Analyzer`: for most cases it's negligible, especially if you enable `parallelInvocation: true`; this cost is not included in the `results.stateMachine` output to keep the state machine simple and easy to read and debug
 

README.md

@@ -172,7 +172,7 @@ Optionally, you could deploy your own custom visualization tool and configure th
 
 There are three main costs associated with AWS Lambda Power Tuning:
 
-* **AWS Step Functions cost**: it corresponds to the number of state transitions during the state machine execution; this cost depends on the number of tested power values, and it's approximately `0.000025 * (6 + N)` where `N` is the number of power values; for example, if you test 6 power values, the state machine cost will be $0.0003
+* **AWS Step Functions cost**: it corresponds to the number of state transitions during the state machine execution; this cost depends on the number of tested power values, and it's approximately `0.000025 * (6 + N)` where `N` is the number of power values; for example, if you test the 6 default power values, the state machine cost will be $0.0003
 * **AWS Lambda cost** related to your function's executions: it depends on three factors: 1) number of invocations that you configure as input (`num`), the number of tested power configurations (`powerValues`), and the average invocation time of your function; for example, if you test all the default power configurations with `num: 100` and all invocations take less than 100ms, the Lambda cost will be approximately $0.001
 * **AWS Lambda cost** related to `Initializer`, `Executor`, `Cleaner`, and `Analyzer`: for most cases it's negligible, especially if you enable `parallelInvocation: true`; this cost is not included in the `results.stateMachine` output to keep the state machine simple and easy to read and debug