PAKDD2021 2nd Alibaba Cloud AIOps Competition
In the large-scale data centers, memory failures account for the largest proportion of sever failures. The frequent occurrence of memory failures will affect the stability and reliability of the server and even the entire IT infrastructure, which have a negative impact on business SLAs (Service-Level Agreement). Thus, prediction of memory failures has become an important topic for IT or big data company.
However, the topic has several challenges, such as high data noise, extremely imbalanced classification, and time-varying features. And contestants should spend more time on solving these problems. Meanwhile, since stability overwhelms everything, the effectiveness and stability of prediction model will also be considered. If contestants can discover reasonable approaches to predict memory failures in such a large-scale system, all IT and big data companies might be able to adopt such approaches to boost prosperity of the cloud computing.
This contest is consists of two parts: the competition and the call for paper. Each part has an independent evaluation processes and awards.
More details and registration of the competition can be found at:
|Start of Competition|
|End of Qualification Round|
|End of Semi-Final|
|Paper Submission Deadline|