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Fix invocation overhead experiment #240

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@qdelamea-aneo qdelamea-aneo commented Mar 3, 2025

The experiment to measure the invocation overhead doesn't work due to several bugs in
the code, in particular related to function calls with too many or too few arguments.
The changes proposed here make it possible to run the experiment successfully.

Summary by CodeRabbit

  • Refactor
    • Updated input interfaces for performance benchmarks to improve consistency.
    • Enhanced evaluation processing with refined handling of cold starts, timing controls, and result extraction.
    • Adjusted data processing to ensure accurate measurement capture by appropriately handling header rows.

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coderabbitai bot commented Mar 3, 2025

Walkthrough

The changes update function and method signatures for two parts of the code. In the benchmark module, the function generate_input now accepts a new parameter name, replacing input_buckets with benchmarks_bucket while maintaining its return structure. In the InvocationOverhead class, the run method now passes an extra benchmark parameter to cold start enforcement, and the process method adds an extend_time_interval parameter, skips the CSV header row, and alters the extraction of the timestamp. These modifications affect how these functions are invoked and processed without changing the core logic.

Changes

File(s) Change Summary
benchmarks/000.microbenchmarks/030.clock-synchronization/input.py Updated generate_input signature: replaced input_buckets with benchmarks_bucket while preserving the output behavior.
sebs/experiments/invocation_overhead.py In InvocationOverhead: run now passes an extra benchmark parameter to enforce_cold_start; process signature now includes extend_time_interval, skips CSV header, and adjusts the response timestamp extraction.

Sequence Diagram(s)

sequenceDiagram
    participant Caller
    participant generate_input
    Caller->>generate_input: Call with (data_dir, size, benchmarks_bucket, input_buckets, output_buckets, upload_func)
    generate_input-->>Caller: Return {'output-bucket': output_buckets[0]}
Loading
sequenceDiagram
    participant IO as InvocationOverhead
    participant DC as DeploymentClient
    participant CSV as CSVReader
    participant Server as ServerResponse

    %% run method sequence
    IO->>DC: enforce_cold_start(..., _benchmark)
    DC-->>IO: Cold start result

    %% process method sequence
    IO->>CSV: Read CSV file
    Note right of IO: Skip header row
    CSV-->>IO: CSV rows
    IO->>IO: Process rows with extend_time_interval
    IO->>Server: Retrieve timestamp from res.output["result"]["output"]["timestamp"]
Loading

Poem

I hopped through lines of refactored code,
Changing names and signatures on the road.
With benchmarks leaping to a brighter beat,
And overhead processes dancing neat.
My bunny heart sings in every byte—
CodeRabbit hops on, coding day and night!

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Actionable comments posted: 1

🔭 Outside diff range comments (1)
sebs/experiments/invocation_overhead.py (1)

165-171: 💡 Verification agent

🧩 Analysis chain

Added extend_time_interval parameter to process method.

The process method signature has been updated to include an extend_time_interval parameter of type int. This parameter appears to be required by the method's implementation, but it's not actually used within the method body.

Do you need to actually use this parameter within the method implementation, or should it be marked as optional with a default value?


🏁 Script executed:

#!/bin/bash
# Check all calls to the 'process' method to see if they provide the extend_time_interval parameter
rg "\.process\(" --type py -A 3 -B 1

Length of output: 466


Inconsistent Handling of extend_time_interval Parameter

The process method in sebs/experiments/invocation_overhead.py now includes an extend_time_interval: int parameter that isn’t actively used in its implementation. However, our search shows conflicting call sites:

  • In sebs.py, the method is invoked with the extend_time_interval argument.
  • In scripts/process_experiments.py, the method is called without providing this parameter.

Consider either integrating the parameter into the method’s logic if it’s needed or making it optional (e.g., extend_time_interval: int = 0) to accommodate the call in scripts/process_experiments.py.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between e13320c and 9ace157.

📒 Files selected for processing (2)
  • benchmarks/000.microbenchmarks/030.clock-synchronization/input.py (1 hunks)
  • sebs/experiments/invocation_overhead.py (4 hunks)
🔇 Additional comments (3)
benchmarks/000.microbenchmarks/030.clock-synchronization/input.py (1)

6-6:

❓ Verification inconclusive

Function signature updated, but parameter appears unused.

The function has been updated to include a new benchmarks_bucket parameter, but this parameter isn't used within the function body. This change aligns with the PR objective to fix the invocation overhead experiment by ensuring proper argument handling.


🏁 Script executed:

#!/bin/bash
# Verify how the generate_input function is called in the codebase
rg "generate_input\(" --type py -A 3 -B 1

Length of output: 5990


Unused Parameter in Function Signature: Review benchmarks_bucket Usage

In file
benchmarks/000.microbenchmarks/030.clock-synchronization/input.py, the function

def generate_input(data_dir, size, benchmarks_bucket, input_buckets, output_buckets, upload_func):
    return {'output-bucket': output_buckets[0]}

includes the new benchmarks_bucket parameter per the PR’s intent. However, this parameter isn’t used within the function body. Notably, while some other benchmark modules (e.g., in benchmarks/100.webapps/120.uploader/input.py) use this parameter, others (such as in this clock-synchronization benchmark) do not.

Please verify whether:

  • benchmarks_bucket should be integrated into the function’s logic (for example, to configure bucket operations), or
  • it should be removed (or at least annotated with a comment indicating its future use) to avoid potential confusion.
sebs/experiments/invocation_overhead.py (2)

226-226: Added CSV header row skipping.

Good addition. This line correctly skips the header row of the CSV file, preventing it from being processed as actual data. This fixes a potential bug where the header row might have been incorrectly treated as a data row.


148-148:

✅ Verification successful

Added benchmark parameter to enforce_cold_start call.

The enforce_cold_start method now receives the benchmark parameter, fixing one of the argument mismatches mentioned in the PR objective. This change ensures proper communication with the deployment client when enforcing cold starts.


🏁 Script executed:

#!/bin/bash
# Check the enforce_cold_start method signature to confirm it expects a benchmark parameter
rg "def enforce_cold_start" --type py -A 2

Length of output: 1186


Benchmark parameter addition in enforce_cold_start call is correct
After verifying the method signatures in multiple deployment client implementations (sebs/faas/system.py, sebs/aws/aws.py, sebs/azure/azure.py, etc.), it's confirmed that the enforce_cold_start method indeed expects a second parameter of type Benchmark (named code_package). Passing self._benchmark now properly aligns with the function signature, resolving the previous argument mismatch and ensuring correct communication with the deployment client.

  • File: sebs/experiments/invocation_overhead.py, Line: 148
    • Change: Updated the call to self._deployment_client.enforce_cold_start([self._function], self._benchmark)

@@ -276,7 +278,7 @@ def receive_datagrams(self, input_benchmark: dict, repetitions: int, port: int,

# Save results even in case of failure - it might have happened in n-th iteration
res = fut.result()
server_timestamp = res.output["result"]["result"]["timestamp"]
server_timestamp = res.output["result"]["output"]["timestamp"]
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⚠️ Potential issue

Fixed timestamp access path in result object.

The access path for retrieving the server timestamp has been corrected from res.output["result"]["result"]["timestamp"] to res.output["result"]["output"]["timestamp"]. This change addresses one of the bugs mentioned in the PR objective regarding function calls with incorrect parameters.

The corrected path ensures that the timestamp is retrieved from the proper location in the response object, which is essential for accurate invocation overhead measurements.

@mcopik
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mcopik commented Mar 3, 2025

@qdelamea-aneo Thank you for fixing the issue, much appreciated! We made multiple changes recently and didn't notice that it broke the experiments.

Were you able to rerun the experiments successfully and fully, i.e., with the initial datagram exchange to establish network latency?

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2 participants