CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems
Modern computer systems are highly configurable, with hundreds of configuration options
that interact, resulting in an enormous configuration space. As a result, optimizing …
that interact, resulting in an enormous configuration space. As a result, optimizing …
TurBO: A cost-efficient configuration-based auto-tuning approach for cluster-based big data frameworks
Big data processing frameworks such as Spark usually provide a large number of
performance-related configuration parameters, how to auto-tune these parameters for a …
performance-related configuration parameters, how to auto-tune these parameters for a …
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 …
Turbo: A Cost-Efficient Configuration Auto-Tuning Approach for Cluster-Based Big Data Frameworks
Big data processing frameworks such as Spark usually provide a large number of
performance-related configuration parameters, how to auto-tune these parameters for a …
performance-related configuration parameters, how to auto-tune these parameters for a …