A new taxonomy for dynamics-aware microservice management, synthesized from 84 systems, finds that production dynamics are often only partially modeled and that reported performance gains depend on evaluation realism.
InProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE ’24)
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eDySec is a deep learning-based framework that detects malicious PyPI packages through dynamic analysis, halving feature dimensionality, reducing false positives by 82%, false negatives by 79%, and boosting accuracy by 3% with near-perfect stability.
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Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions
A new taxonomy for dynamics-aware microservice management, synthesized from 84 systems, finds that production dynamics are often only partially modeled and that reported performance gains depend on evaluation realism.
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eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem
eDySec is a deep learning-based framework that detects malicious PyPI packages through dynamic analysis, halving feature dimensionality, reducing false positives by 82%, false negatives by 79%, and boosting accuracy by 3% with near-perfect stability.