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Help Rather Than Recycle: Alleviating Cold Startup in Serverless Computing Through Inter-Function Container Sharing

License: Apache License 2.0

Python 92.92% Dockerfile 4.39% Shell 2.69%
serverless

pagurus's People

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axiqia avatar chen-binghao avatar chengjiagan avatar linsongguo avatar lzjzx1122 avatar

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pagurus's Issues

All actions are time.sleep functions

Is it appropriate to use time.sleep functions to mimic the behaviors of real applications? How could you justify the amount of sleeping time? How to evaluate the memory consumption and utilization? For example, any memory waste? A forked Zygote container might stay in memory for a while before the next invocation hit it.

Part of actions does not `import` the right packages

In the interaction_controller/aws_actions/ directory, there are three actions related to aws-etl-orchestrator (eo_athenarunner, eo_gluerunner, and eo_ons3objectcreated).

However, in the 'import' sections of these codes, the correct packages are not imported.

For example, in the three actions (in the Pagurus repository), they only import the time package, but in the original repository (aws-etl-orchestrator), they actually import some boto3 and botocore packages.

If a large part of the actions actually doesn't import the right package, then how can Pagurus be evaluated in a real-world scenario?

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