Using Control Theory to Achieve Service Level Objectives In Performance Management
By Sujay S. Parekh, Neha Gandhi, Joseph L. Hellerstein, Dawn M. Tilbury, T. S. Jayram, Joseph P. Bigus. 2001 IEEE/IFIP International Symposium on Integrated Network Management Proceedings. Integrated Network Management VII. Integrated Management Strategies for the New Millennium (Cat. No.01EX470), 2001
332 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/1377e2be359d6455243095b81bf2677c7db9462f
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In Computer Networks and Communications
- J. Stankovic
- Matt Welsh
- Chenyang Lu
- Eric A. Brewer
- J. Demmel
- David E. Culler
- John Wilkes
- Sang Hyuk Son
In Management Information Systems
Citations in the corpus
- Automatic performance tuning of sparse matrix kernels (2003, background): “, have looked at designing self-tuning controllers for server environments based on statistical modeling and control theory [245].”
- CloudScale: elastic resource scaling for multi-tenant cloud systems (2011, methodology): “Previous work [44, 29, 31, 36, 32] has extensively studied applying control theory to achieve adaptive fine-grained resource allocations based on SLO conformance feedback.”
- Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms* (2001, methodology): “A controltheoretical approach has also been applied to provide QoS guarantees in web servers [2][4][21] and email servers [25].”
- SEDA: an architecture for well-conditioned, scalable internet services (2001, methodology): “work on control systems[43, 45] can be brought to bearon service resourcemanagement, andwe have only scratchedthe surfaceof the potentialfor this technique.”