White-box analysis over machine learning: Modeling performance of configurable systems
Performance-influence models can help stakeholders understand how and where
configuration options and their interactions influence the performance of a system. With this …
configuration options and their interactions influence the performance of a system. With this …
Datasize-aware high dimensional configurations auto-tuning of in-memory cluster computing
Z Yu, Z Bei, X Qian - Proceedings of the Twenty-Third International …, 2018 - dl.acm.org
In-Memory cluster Computing (IMC) frameworks (eg, Spark) have become increasingly
important because they typically achieve more than 10× speedups over the traditional On …
important because they typically achieve more than 10× speedups over the traditional On …
The interplay of sampling and machine learning for software performance prediction
Artificial intelligence has gained considerable momentum in software engineering, but there
are major challenges that make this domain special. We review recent advances, raise …
are major challenges that make this domain special. We review recent advances, raise …
Understanding and auto-adjusting performance-sensitive configurations
Modern software systems are often equipped with hundreds to thousands of configurations,
many of which greatly affect performance. Unfortunately, properly setting these …
many of which greatly affect performance. Unfortunately, properly setting these …
Learning to sample: Exploiting similarities across environments to learn performance models for configurable systems
Most software systems provide options that allow users to tailor the system in terms of
functionality and qualities. The increased flexibility raises challenges for understanding the …
functionality and qualities. The increased flexibility raises challenges for understanding the …
Understanding and discovering software configuration dependencies in cloud and datacenter systems
A large percentage of real-world software configuration issues, such as misconfigurations,
involve multiple interdependent configuration parameters. However, existing techniques and …
involve multiple interdependent configuration parameters. However, existing techniques and …
Too many knobs to tune? towards faster database tuning by pre-selecting important knobs
To achieve high performance, recent research has shown that it is important to automatically
tune the configuration knobs present in database systems. However, as database systems …
tune the configuration knobs present in database systems. However, as database systems …
Software configuration engineering in practice interviews, survey, and systematic literature review
Modern software applications are adapted to different situations (eg, memory limits,
enabling/disabling features, database credentials) by changing the values of configuration …
enabling/disabling features, database credentials) by changing the values of configuration …
Rex: Preventing bugs and misconfiguration in large services using correlated change analysis
Large services experience extremely frequent changes to code and configuration. In many
cases, these changes are correlated across files. For example, an engineer introduces a …
cases, these changes are correlated across files. For example, an engineer introduces a …
Configuration validation with large language models
Misconfigurations are the major causes of software failures. Existing configuration validation
techniques rely on manually written rules or test cases, which are expensive to implement …
techniques rely on manually written rules or test cases, which are expensive to implement …