Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/10070
Title: On the use of fuzzy logic controllers to comply with virtualized application demands in the cloud
Authors: Deliparaschos, Kyriakos M. 
Charalambous, Themistoklis 
Kalyvianaki, Evangelia 
Makarounas, Christos 
Keywords: Virtualization technologies
Fuzzy control systems
CPU allocation
Issue Date: 6-Jan-2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2016 European Control Conference (ECC), 2016, Aalborg, Denmark
Abstract: As virtualization technologies enable real-time CPU allocation, it is important to build controllers that adjust the allocation in a timely fashion avoiding resource saturation and hence, dissatisfaction of the end users of services. In this work, adaptive neuro-fuzzy inference, trained on Kalman and H∞ filters, has been used to adjust the CPU allocations based on observations of past utilization. When evaluating the performance of the proposed controller it is demonstrated that it provides even better performance than the filters it is trained on. In addition, there are no assumptions on the noise characteristics and due to the fact that the neuro-fuzzy controller can, in general, capture non-linear level processes, our controller is more robust than linear model based approaches, such as the Kalman and the H∞ filters.
URI: http://ktisis.cut.ac.cy/handle/10488/10070
ISBN: 978-150902591-6
Rights: © 2016 EUCA.
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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