Large-Scale Disk Failure Prediction -

Large-Scale Disk Failure Prediction

PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7 – May 15, 2020, Revised Selected Papers
Buch | Softcover
143 Seiten
2020 | 1st ed. 2020
Springer Verlag, Singapore
978-981-15-7748-2 (ISBN)
53,49 inkl. MwSt
This book constitutes the thoroughly refereed post-competition proceedings of the AI Ops Competition on Large-Scale Disk Failure Prediction, conducted between February 7th and May 15, 2020 on the Alibaba Cloud Tianchi Platform. A dedicated workshop, featuring the best performing teams of the competition, was held at the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, in April 2019. Due to the COVID-19 pandemic, the workshop was hosted online.



This book includes 13 selected contributions: an introduction to dataset, selected approaches of the competing teams and the competition summary, describing the competition task, practical challenges, evaluation metrics, etc.

An Introduction to PAKDD CUP 2020 Dataset.- PAKDD 2020 Alibaba AIOps Competition-Large-scale Disk Failure Prediction: Third Place Team.- A Voting-based Robust Model for Disk Failure Prediction.- First place solution of PAKDD Cup 2020.- Anomaly Detection of Hard Disk Drives based on Multi-scale Feature.- Disk Failure Prediction: an in-depth comparison between deep neural networks and tree-based models.- PAKDD2020 Alibaba AI Ops Competition: Large-Scale Disk Failure Prediction.- SHARP: SMART HDD Anomaly Risk Prediction.- Tree-based model with advanced data preprocessing for large scale hard disk failure prediction.- PAKDD2020 Alibaba AI Ops Competition: An SPE-LightGBM Approach.- Noise Feature Selection Method in PAKDD 2020 Alibaba AI Ops Competition: Large-Scale Disk Failure Prediction.- Characterizing and Modeling for Proactive Disk Failure Prediction to Improve Reliability of Data Centers.- Summary of PAKDD CUP 2020: From Organizers’ Perspective.

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science ; 1261
Zusatzinfo 40 Illustrations, color; 56 Illustrations, black and white; X, 143 p. 96 illus., 40 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 981-15-7748-X / 981157748X
ISBN-13 978-981-15-7748-2 / 9789811577482
Zustand Neuware
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