Is Machine Learning Necessary for Cloud Resource Usage Forecasting?

Author:

Christofidi Georgia1ORCID,Papaioannou Konstantinos1ORCID,Doudali Thaleia Dimitra1ORCID

Affiliation:

1. IMDEA Software Institute, Madrid, Spain

Funder

MCIN/AEI/10.13039/501100011033/, European Union NextGenerationEU/ PRTR

MCIN/AEI/10.13039/501100011033, European Union «NextGenerationEU»/PRTR

MCIN/AEI/10.13039/501100011033, ESF+

Publisher

ACM

Reference52 articles.

1. 2018. Alibaba Cluster Traces 2018 . Technical report at https://github.com/alibaba/clusterdata/blob/master/cluster-trace-v2018. 2018. Alibaba Cluster Traces 2018. Technical report at https://github.com/alibaba/clusterdata/blob/master/cluster-trace-v2018.

2. 2018. How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls. https://towardsdatascience.com/how-not-to-use-machine-learning-for-time-series-forecasting-avoiding-the-pitfalls-19f9d7adf424. 2018. How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls. https://towardsdatascience.com/how-not-to-use-machine-learning-for-time-series-forecasting-avoiding-the-pitfalls-19f9d7adf424.

3. 2019. Azure VM Traces. Technical report at https://github.com/Azure/AzurePublicDataset. 2019. Azure VM Traces. Technical report at https://github.com/Azure/AzurePublicDataset.

4. 2019. Time Series Analysis Visualization & Forecasting with LSTM. https://towardsdatascience.com/time-series-analysis-visualization-forecasting-with-lstm-77a905180eba. 2019. Time Series Analysis Visualization & Forecasting with LSTM. https://towardsdatascience.com/time-series-analysis-visualization-forecasting-with-lstm-77a905180eba.

5. George Amvrosiadis , Jun Woo Park , Gregory R. Ganger , Garth A. Gibson , Elisabeth Baseman , and Nathan DeBardeleben . 2018 . On the diversity of cluster workloads and its impact on research results . In 2018 USENIX Annual Technical Conference (USENIX ATC 18) . USENIX Association, Boston, MA, 533--546. https://www.usenix.org/conference/atc18/presentation/amvrosiadis George Amvrosiadis, Jun Woo Park, Gregory R. Ganger, Garth A. Gibson, Elisabeth Baseman, and Nathan DeBardeleben. 2018. On the diversity of cluster workloads and its impact on research results. In 2018 USENIX Annual Technical Conference (USENIX ATC 18). USENIX Association, Boston, MA, 533--546. https://www.usenix.org/conference/atc18/presentation/amvrosiadis

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