期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：2
页码：399-402
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Cloud elasticity allows dynamic resource provisioning in concert with actual application demands. Self Tuning fuzzy control has been applied with success to resource allocation. However, cloud dynamics make the design of the accurate and stable resource controller challenging, especially when client request increased gradually. To address these challenges, we extend self tuning approach and we introduced novel fuzzy controller (NFC) approach and used weighted scheduling algorithm. It supports adaptive multi-objective and service differentiation. Experimental results on representative server workloads show that NFC approach outperforms popular controllers such as Kalman filter, ARMA and, Adaptive PI in the control of CPU, memory, and disk bandwidth resources under both static and dynamic workloads
关键词：Quality of service; cloud management; service ; differentiation; fuzzy control
