Feedback Control of Computing Systems

By Joseph L. Hellerstein, Y. Diao, Sujay S. Parekh, Dawn M. Tilbury. 2004

1,022 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/286bb3345887fa7bef713c01331fc540eb53ae51

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In Control and Systems Engineering

Citations in the corpus

Adaptive control of virtualized resources in utility computing environments (2007, methodology): “Control theory has recently been applied to computer systems for resource management and performance control [10, 14, 13, 17].”
Software Engineering for Self-Adaptive Systems: A Second Research Roadmap (2010, background): “Several of the synthesized adaptation properties are gleaned from control theory [19, 25] and reinterpreted for self-adaptive software.”
Control: A perspective (2014, background): “Similar to “control of networks,” control is also increasingly being applied to computing systems [293].”
Dynamo: Facebook's Data Center-Wide Power Management System (2016, background): “To ensure control stability, the pulling cycle for the upper-level controller is longer than the settling time of the downstream leaf controller [24].”
Feedback Systems: An Introduction for Scientists and Engineers (2008, neutral): “In [93] a dynamic model in the form of a first order difference equation is used to capture the dynamic behavior of this system.”
An Introduction for Scientists and Engineers SECOND EDITION (2021, neutral): “[HDPT04] J.”
Automated control in cloud computing: challenges and opportunities (2009, background): “, a good strategy for modelling systems is to start simple, which means that there is no need to develop a complex model, if a simpler model is already sufficient [10].”
On the use of hybrid reinforcement learning for autonomic resource allocation (2007, methodology): “Much recent research on this has focused on algorithms that make use of explicit system performance models, such as control-theoretic [4] or queuing-theoretic [5] models.”
Server-Level Power Control (2007, background): “Similar techniques for system-level power constraints have been less studied.”
Resource Management in Clouds: Survey and Research Challenges (2015, methodology): “Third, the performance of an application can be controlled using a feedback loop, applying techniques from control theory [101].”
Dynamic knobs for responsive power-aware computing (2011, methodology): “To demonstrate these properties, we use standard control theoretic techniques and analyze the system in the Z-domain [24].”
Bayesian Optimal Control of Smoothly Parameterized Systems (2015, methodology): “The problem is taken from Section 7.8.1 of the book by Hellerstein et al. (2004) (this example is also used in Section 3.4 of the book by Astr¨om and Murray (2008)).”
Engineering Self-Adaptive Systems through Feedback Loops (2009, background): “provide a more detailed treatment of the analysis capabilities offered by control theory and their application to computing systems [2,13].”