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@qdelamea-aneo qdelamea-aneo commented Mar 18, 2025

  • Fix invocation overhead experiment
  • Fix perf-cost and network-ping-pong experiments

Summary by CodeRabbit

This release introduces enhancements to benchmark, experiment, and deployment functionalities through expanded configuration and improved processing.

  • New Features
    • Enhanced benchmark configurations with additional parameters for improved storage and bucket management.
    • Upgraded experimental modules with refined timing, logging, and data handling for increased measurement accuracy.
    • Expanded deployment update controls for more robust function updates.

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coderabbitai bot commented Mar 18, 2025

Walkthrough

This pull request modifies several function and method signatures across benchmark and experiment files. In the benchmark section, new parameters are added to the generate_input functions. In the experiments section, additional parameters are introduced in methods, and internal calls have been adjusted to accommodate new arguments. Minor internal changes include updated calls to deployment client methods, modifications to response data keys, and CSV header handling.

Changes

File(s) Change Summary
benchmarks/000.microbenchmarks/020.network-benchmark/input.py
benchmarks/000.microbenchmarks/030.clock-synchronization/input.py
Updated generate_input signatures: added storage in the network benchmark and inserted benchmarks_bucket in the clock synchronization benchmark.
sebs/experiments/invocation_overhead.py
sebs/experiments/network_ping_pong.py
sebs/experiments/perf_cost.py
Updated method signatures to include new parameters (e.g., extend_time_interval, sebs_client, deployment_client, logging_filename), modified deployment client calls (adding parameters to enforce_cold_start and update_function), adjusted response data key paths, and added CSV header skipping.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant Experiment
    participant DeploymentClient
    Client->>Experiment: process(sebs_client, deployment_client, directory, logging_filename, extend_time_interval)
    Experiment->>DeploymentClient: enforce_cold_start(benchmark)
    DeploymentClient-->>Experiment: cold start result
    Experiment->>CSVReader: process CSV (skip header)
Loading
sequenceDiagram
    participant PerfCost
    participant DeploymentClient
    PerfCost->>DeploymentClient: update_function(function, benchmark, False, "")
    DeploymentClient-->>PerfCost: update complete
Loading

Possibly related PRs

  • Container support for AWS #205: Addresses modifications to the generate_input function signatures in benchmark files, aligning parameter changes across similar modules.

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I hopped through lines of code with glee,
Adding parameters for all to see.
In benchmarks and experiments, tweaks abound,
With extra inputs making magic sound.
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Actionable comments posted: 1

🧹 Nitpick comments (3)
benchmarks/000.microbenchmarks/020.network-benchmark/input.py (1)

6-6: Function signature updated for standardization

The function signature has been updated to include a new storage parameter, aligning with other benchmark implementations. However, this parameter is not utilized within the function body.

Consider adding a docstring to explain the purpose of the storage parameter even if it's not currently used in this implementation. This would improve code clarity and maintainability.

 def generate_input(data_dir, size, storage, input_buckets, output_buckets, upload_func):
+    """Generate input for network benchmark.
+    
+    Args:
+        data_dir: Directory containing benchmark data
+        size: Size of the benchmark input
+        storage: Storage object for accessing cloud storage
+        input_buckets: List of input buckets
+        output_buckets: List of output buckets
+        upload_func: Function to upload data
+        
+    Returns:
+        Dictionary with output bucket information
+    """
     return {'output-bucket': output_buckets[0]}
benchmarks/000.microbenchmarks/030.clock-synchronization/input.py (1)

6-6: Function signature updated for standardization

The function signature has been updated to include a new benchmarks_bucket parameter, aligning with other benchmark implementations. However, this parameter is not utilized within the function body.

Consider adding a docstring to explain the purpose of the benchmarks_bucket parameter even if it's not currently used in this implementation. This would improve code clarity and maintainability.

 def generate_input(data_dir, size, benchmarks_bucket, input_buckets, output_buckets, upload_func):
+    """Generate input for clock synchronization benchmark.
+    
+    Args:
+        data_dir: Directory containing benchmark data
+        size: Size of the benchmark input
+        benchmarks_bucket: Bucket containing benchmark data
+        input_buckets: List of input buckets
+        output_buckets: List of output buckets
+        upload_func: Function to upload data
+        
+    Returns:
+        Dictionary with output bucket information
+    """
     return {'output-bucket': output_buckets[0]}
sebs/experiments/perf_cost.py (1)

83-83: Method call updated to match new signature

The call to update_function has been updated to include the new parameters force and reason, matching the updated method signature in the DeploymentClient class.

Consider providing a descriptive reason string instead of an empty string, especially if this is used for logging or debugging purposes:

-            self._deployment_client.update_function(self._function, self._benchmark, False, "")
+            self._deployment_client.update_function(self._function, self._benchmark, False, "Updated function memory configuration")
📜 Review details

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📥 Commits

Reviewing files that changed from the base of the PR and between 3266d2d and e4b9fc1.

📒 Files selected for processing (5)
  • benchmarks/000.microbenchmarks/020.network-benchmark/input.py (1 hunks)
  • benchmarks/000.microbenchmarks/030.clock-synchronization/input.py (1 hunks)
  • sebs/experiments/invocation_overhead.py (4 hunks)
  • sebs/experiments/network_ping_pong.py (1 hunks)
  • sebs/experiments/perf_cost.py (1 hunks)
🧰 Additional context used
🧬 Code Definitions (1)
sebs/experiments/invocation_overhead.py (6)
sebs/aws/aws.py (1) (1)
  • enforce_cold_start (605-613)
sebs/azure/azure.py (1) (1)
  • enforce_cold_start (532-538)
sebs/faas/system.py (1) (1)
  • enforce_cold_start (383-384)
sebs/local/local.py (1) (1)
  • enforce_cold_start (340-341)
sebs/openwhisk/openwhisk.py (1) (1)
  • enforce_cold_start (330-331)
sebs/gcp/gcp.py (1) (1)
  • enforce_cold_start (597-621)
🔇 Additional comments (4)
sebs/experiments/invocation_overhead.py (4)

148-148: Updated method signature to include required benchmark parameter.

The enforce_cold_start method now correctly includes the benchmark parameter, which aligns with the interface changes in the deployment clients. Based on the provided code snippets from various cloud provider implementations (AWS, Azure, GCP), this parameter is now required to properly enforce cold starts.


171-171: Parameter added but not used in method body.

The extend_time_interval parameter has been added to align with other experiment classes (like NetworkPingPong), but it's not being used anywhere in the method implementation. Consider either documenting its purpose or implementing its functionality.

Is this parameter intended for future use or should it be implemented in this method? Please check if there are similar implementations in other experiment classes that might provide guidance on how to use this parameter.


226-226: Fixed CSV processing by skipping header row.

Good addition - this correctly skips the header row of the CSV file, preventing it from being processed as data which would cause incorrect results.


281-281: Updated path to access timestamp in response structure.

The path to access the timestamp has been updated from res.output["result"]["result"]["timestamp"] to res.output["result"]["output"]["timestamp"] to reflect changes in the response data structure.

self._storage.download_bucket(self.benchmark_input["output-bucket"], self._out_dir)

def process(self, directory: str):
def process(self, sebs_client, deployment_client, directory, logging_filename, extend_time_interval):
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💡 Verification agent

🧩 Analysis chain

Method signature updated for standardization

The process method signature has been updated to include additional parameters (sebs_client, deployment_client, logging_filename, extend_time_interval), aligning with other experiment implementations. However, these new parameters are not utilized within the method body.

Add type annotations to the new parameters and consider implementing functionality that uses these parameters or document why they're not needed:

-    def process(self, sebs_client, deployment_client, directory, logging_filename, extend_time_interval):
+    def process(
+        self,
+        sebs_client: "SeBS",
+        deployment_client: FaaSSystem,
+        directory: str,
+        logging_filename: str,
+        extend_time_interval: int
+    ):
+        """Process experiment results.
+        
+        Args:
+            sebs_client: The SeBS client instance
+            deployment_client: The deployment client instance
+            directory: Directory containing experiment results
+            logging_filename: Name of the logging file
+            extend_time_interval: Time interval extension in minutes
+        """

Check whether the extend_time_interval parameter is used similarly in other experiment classes:


🏁 Script executed:

#!/bin/bash
# Check how extend_time_interval is used in other experiment classes
rg -A 10 "extend_time_interval" --type py

Length of output: 4376


Action Required: Enhance the Method Signature in network_ping_pong.py

The process method now includes additional parameters for consistency with other experiments, but these parameters—particularly extend_time_interval—aren't utilized in the method body. In other experiment classes (e.g., perf_cost.py and invocation_overhead.py), extend_time_interval adjusts metric retrieval timing. To maintain clarity and consistency, please update the method signature in sebs/experiments/network_ping_pong.py as follows:

  • Add type annotations for all parameters.
  • Include a docstring that explains the purpose of each parameter.
  • Document or implement the usage of extend_time_interval. If it is intentionally unused in this experiment, add a comment in the docstring to clarify why.

Below is a suggested diff:

-    def process(self, sebs_client, deployment_client, directory, logging_filename, extend_time_interval):
+    def process(
+        self,
+        sebs_client: "SeBS",
+        deployment_client: FaaSSystem,
+        directory: str,
+        logging_filename: str,
+        extend_time_interval: int
+    ):
+        """
+        Process experiment results.
+
+        Args:
+            sebs_client: The SeBS client instance.
+            deployment_client: The deployment client instance.
+            directory: Directory containing experiment results.
+            logging_filename: Name of the logging file.
+            extend_time_interval: Time interval extension in minutes.
+                Note: This parameter is used in other experiments to adjust metric collection timing.
+                      If not needed here, please document the rationale.
+        """
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def process(self, sebs_client, deployment_client, directory, logging_filename, extend_time_interval):
def process(
self,
sebs_client: "SeBS",
deployment_client: FaaSSystem,
directory: str,
logging_filename: str,
extend_time_interval: int
):
"""
Process experiment results.
Args:
sebs_client: The SeBS client instance.
deployment_client: The deployment client instance.
directory: Directory containing experiment results.
logging_filename: Name of the logging file.
extend_time_interval: Time interval extension in minutes.
Note: This parameter is used in other experiments to adjust metric collection timing.
If not needed here, please document the rationale.
"""

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mcopik commented Mar 20, 2025

@qdelamea-aneo Hi! Feel free to join our Slack to discuss the PRs - happy to help!

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2 participants