AgileCtrl: a self-adaptive framework for configuration tuning-Reference-Cited by-同舟云学术

AgileCtrl: a self-adaptive framework for configuration tuning

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
language:
Short-container-title:

Author:

Wang Shu¹,Hoffmann Henry²,Lu Shan²

Affiliation:

1. LinkedIn, USA

2. University of Chicago, USA

Funder

Army Research Office

NSF (National Science Foundation)

DOE U.S. Department of Energy

Defense Advanced Research Projects Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3540250.3549136

Reference74 articles.

1. Karl J Åström . 1984. LQG SELF-TUNERS . In Adaptive Systems in Control and Signal Processing 1983 . Elsevier , Amsterdam, Netherlands . 137–146. isbn:978-0-08-030565-3 Karl J Åström. 1984. LQG SELF-TUNERS. In Adaptive Systems in Control and Signal Processing 1983. Elsevier, Amsterdam, Netherlands. 137–146. isbn:978-0-08-030565-3

2. Karl J Åström and Björn Wittenmark . 2013. Adaptive control . Courier Corporation , Chelmsford, MA, USA . Karl J Åström and Björn Wittenmark. 2013. Adaptive control. Courier Corporation, Chelmsford, MA, USA.

3. Model-based performance prediction in software development: a survey

4. ACTGAN: Automatic Configuration Tuning for Software Systems with Generative Adversarial Networks

5. RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop's Configuration

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Active Monitoring Mechanism for Control-Based Self-Adaptive Systems;Proceedings of the ACM on Software Engineering;2024-07-12

2. Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicores;The Journal of Supercomputing;2024-06-21

3. Semantic configuration model with natural transformations;Cognitive Systems Research;2024-01

4. Hybrid Genetic Reinforcement Learning for Generating Run-Time Requirement Enforcers;Proceedings of the 21st ACM-IEEE International Conference on Formal Methods and Models for System Design;2023-09-21