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Differentiated Performance Management in Virtualized Environments Using Nonlinear Control.

, , , and . IEEE Trans. Network and Service Management, 12 (1): 101-113 (2015)

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An evaluation of multi-model self-managing control schemes for adaptive performance management of software systems., , , and . Journal of Systems and Software, 85 (12): 2678-2696 (2012)Managing performance and resources in software systems using nonlinear predictive control., , , and . ACC, page 4124-4129. IEEE, (2012)A multi-model framework to implement self-managing control systems for QoS management., , , and . SEAMS, page 218-227. ACM, (2011)Differentiated Performance Management in Virtualized Environments Using Nonlinear Control., , , and . IEEE Trans. Network and Service Management, 12 (1): 101-113 (2015)Dynamic Performance Management in Multi-tenanted Business Process Servers Using Nonlinear Control., , , , , , and . ICSOC, volume 7636 of Lecture Notes in Computer Science, page 206-221. Springer, (2012)Towards optimal performance and resource management in web systems via model predictive control., , and . AuCC, page 469-474. IEEE, (2011)An improved Hammerstein-Wiener system identification with application to virtualized software system., , and . CCA, page 1552-1557. IEEE, (2015)A systematic survey on the design of self-adaptive software systems using control engineering approaches., , , and . SEAMS, page 33-42. IEEE Computer Society, (2012)4M-Switch: Multi-mode-multi-model supervisory control framework for performance differentiation in virtual machine environments., , and . CNSM, page 145-153. IEEE Computer Society, (2014)Can Control-Component Libraries Reduce the Costs of Developing Control Engineering-Based Self-Adaptive Systems?, , and . APSEC (1), page 42-49. IEEE Computer Society, (2013)978-1-4799-2143-0.