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Personalized Execution Time Optimization for the Scheduled Jobs. (arXiv:2203.06158v1 [cs.LG])
March 14, 2022, 1:11 a.m. | Yang Liu, Juan Wang, Zhengxing Chen, Ian Fox, Imani Mufti, Jason Sukumaran, Baokun He, Xiling Sun, Feng Liang
cs.LG updates on arXiv.org arxiv.org
Scheduled batch jobs have been widely used on the asynchronous computing
platforms to execute various enterprise applications, including the scheduled
notifications and the candidate computation for the modern recommender systems.
It is important to deliver or update the information to the users at the right
time to maintain the user experience and the execution impact. However, it is
challenging to provide a versatile execution time optimization solution for the
user-basis scheduled jobs to satisfy various product scenarios while
maintaining reasonable …
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