Acela: Predictable Datacenter-level Maintenance Job Scheduling
Y Ding, A Gao, T Ryden, K Mitra, S Kalmanje… - arXiv preprint arXiv …, 2022 - arxiv.org
Datacenter operators ensure fair and regular server maintenance by using automated
processes to schedule maintenance jobs to complete within a strict time budget. Automating …
processes to schedule maintenance jobs to complete within a strict time budget. Automating …
A data-driven study of operating system energy-performance trade-offs towards system self optimization
H Dong - 2023 - search.proquest.com
This dissertation is motivated by an intersection of changes occurring in modern software
and hardware; driven by increasing application performance and energy requirements while …
and hardware; driven by increasing application performance and energy requirements while …
CALORIE: A Constraint Language and Optimizing Runtime for Exascale Power Management
H Hoffmann - 2022 - osti.gov
This final technical report summarizes the key accomplishments on the CALORIE project, a
DOE Early Career award received by PI Henry Hoffmann at the University of Chicago …
DOE Early Career award received by PI Henry Hoffmann at the University of Chicago …
A survey on event connections and their discovery for cloud service
Z Zhang, C Xia, S Li, Z Liu, M Huang… - … and Data Processing …, 2023 - spiedigitallibrary.org
Connection is the effect between events. It is an important basis for judging of violations and
source-trace of failure in cloud service accountability. This paper presents a survey on the …
source-trace of failure in cloud service accountability. This paper presents a survey on the …
[PDF][PDF] Exploiting Unlabeled Data to Improve Detection of Visual Anomalies in Soft Fruits
Recently, self-supervised learning methods have been proposed to learn a useful
representation for visual detection of anomalous, unhealthy crops while a neural network …
representation for visual detection of anomalous, unhealthy crops while a neural network …