Christian Hollaus, Sasko Ristov

Deployment of serverless functions depends on various factors. This dataset presents deployment time of a Python serverless function with various deployment package size, deployed on 6 regions of AWS and 6 regions of IBM. Deployment scripts are executed from Innsbruck, Austria.

Dataset Files

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[1] Christian Hollaus, Sasko Ristov, "Deployment time of serverless functions on AWS and IBM", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/rmyb-8x29. Accessed: Apr. 24, 2024.
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doi = {10.21227/rmyb-8x29},
url = {http://dx.doi.org/10.21227/rmyb-8x29},
author = {Christian Hollaus; Sasko Ristov },
publisher = {IEEE Dataport},
title = {Deployment time of serverless functions on AWS and IBM},
year = {2022} }
TY - DATA
T1 - Deployment time of serverless functions on AWS and IBM
AU - Christian Hollaus; Sasko Ristov
PY - 2022
PB - IEEE Dataport
UR - 10.21227/rmyb-8x29
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Christian Hollaus, Sasko Ristov. (2022). Deployment time of serverless functions on AWS and IBM. IEEE Dataport. http://dx.doi.org/10.21227/rmyb-8x29
Christian Hollaus, Sasko Ristov, 2022. Deployment time of serverless functions on AWS and IBM. Available at: http://dx.doi.org/10.21227/rmyb-8x29.
Christian Hollaus, Sasko Ristov. (2022). "Deployment time of serverless functions on AWS and IBM." Web.
1. Christian Hollaus, Sasko Ristov. Deployment time of serverless functions on AWS and IBM [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/rmyb-8x29
Christian Hollaus, Sasko Ristov. "Deployment time of serverless functions on AWS and IBM." doi: 10.21227/rmyb-8x29