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Cloud Functions for Fast and Robust Resource Auto-Scaling | IEEE Conference Publication | IEEE Xplore
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Cloud Functions for Fast and Robust Resource Auto-Scaling

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Joe H. Novak; Sneha Kumar Kasera; Ryan Stutsman
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Abstract:

We design and build FEAT, a new scaling approach that uses (1) cloud functions as interim processing resources to compensate for VM launch delays and (2) a reactive, knob...Show More

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Abstract:

We design and build FEAT, a new scaling approach that uses (1) cloud functions as interim processing resources to compensate for VM launch delays and (2) a reactive, knobless, auto-scaling algorithm that requires no pre-specified thresholds or parameters, making it robust against changing load. We implement FEAT on Amazon Web Services (AWS) and Microsoft Azure. Our evaluations clearly demonstrate the higher performance and robustness of FEAT in comparison to existing approaches.
Published in: 2019 11th International Conference on Communication Systems & Networks (COMSNETS)
Date of Conference: 07-11 January 2019
Date Added to IEEE Xplore: 13 May 2019
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ISSN Information:

DOI: 10.1109/COMSNETS.2019.8711058
Conference Location: Bengaluru, India
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