Generalizable and interpretable learning for configuration extrapolation
Modern software applications are increasingly configurable, which puts a burden on users to
tune these configurations for their target hardware and workloads. To help users, machine …
tune these configurations for their target hardware and workloads. To help users, machine …
Whence to learn? transferring knowledge in configurable systems using beetle
As software systems grow in complexity and the space of possible configurations increases
exponentially, finding the near-optimal configuration of a software system becomes …
exponentially, finding the near-optimal configuration of a software system becomes …
Transfer learning with bellwethers to find good configurations
As software systems grow in complexity, the space of possible configurations grows
exponentially. Within this increasing complexity, developers, maintainers, and users cannot …
exponentially. Within this increasing complexity, developers, maintainers, and users cannot …
Using bad learners to find good configurations
Finding the optimally performing configuration of a software system for a given setting is
often challenging. Recent approaches address this challenge by learning performance …
often challenging. Recent approaches address this challenge by learning performance …
Learning software configuration spaces: A systematic literature review
Most modern software systems (operating systems like Linux or Android, Web browsers like
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …
Predicting configuration performance in multiple environments with sequential meta-learning
Learning and predicting the performance of given software configurations are of high
importance to many software engineering activities. While configurable software systems will …
importance to many software engineering activities. While configurable software systems will …
Mastering uncertainty in performance estimations of configurable software systems
Understanding the influence of configuration options on performance is key for finding
optimal system configurations, system understanding, and performance debugging. In prior …
optimal system configurations, system understanding, and performance debugging. In prior …
Massconf: automatic configuration tuning by leveraging user community information
W Zheng, R Bianchini, TD Nguyen - Proceedings of the 2nd ACM/SPEC …, 2011 - dl.acm.org
Configuring modern enterprise software can be extremely difficult because their behaviors
often depend on large numbers of configuration parameters. Software vendors can simplify …
often depend on large numbers of configuration parameters. Software vendors can simplify …
Performance-influence models for highly configurable systems
Almost every complex software system today is configurable. While configurability has many
benefits, it challenges performance prediction, optimization, and debugging. Often, the …
benefits, it challenges performance prediction, optimization, and debugging. Often, the …
MMO: Meta multi-objectivization for software configuration tuning
Software configuration tuning is essential for optimizing a given performance objective (eg,
minimizing latency). Yet, due to the software's intrinsically complex configuration landscape …
minimizing latency). Yet, due to the software's intrinsically complex configuration landscape …