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Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge

Crossref DOI link: https://doi.org/10.1007/978-3-030-63058-4_6

Published Online: 2020-12-05

Published Print: 2020

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Violos, John

Psomakelis, Evangelos

Danopoulos, Dimitrios

Tsanakas, Stylianos

Varvarigou, Theodora
License Information

Text and Data Mining valid from 2020-01-01

Version of Record valid from 2020-01-01

Text and Data Mining valid from 2020-01-01

Version of Record valid from 2020-01-01
More Information

Chapter History

First Online: 5 December 2020

Conference Information

Conference Acronym: GECON

Conference Name: International Conference on the Economics of Grids, Clouds, Systems, and Services

Conference City: Izola

Conference Country: Slovenia

Conference Year: 2020

Conference Start Date: 15 September 2020

Conference End Date: 17 September 2020

Conference Number: 17

Conference ID: gecon2020

Conference URL: http://gecon2020.gecon.info/index.php/home

Peer Review Information (provided by the conference organizers)

Type: Single-blind

Conference Management System: EasyChair

Number of Submissions Sent for Review: 40

Number of Full Papers Accepted: 11

Number of Short Papers Accepted: 9

Acceptance Rate of Full Papers: 28% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.

Average Number of Reviews per Paper: 4.15

Average Number of Papers per Reviewer: 2.65

External Reviewers Involved: Yes

Additional Info on Review Process: The conference was held virtually due to the COVID-19 pandemic.