2015 IEEE 12th International Conference on e-Business Engineering (ICEBE) (2015)
Oct. 23, 2015 to Oct. 25, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2015.79
This study attempts to upgrade the service efficiencies of cloud management by proposing different quality approaches. We design two detecting mechanisms to search the early violation signal by a different quality level of confidence. This research attempts to prevent assignable variables existed in violation situations. We proposed and verified the Moving Range Chart and EWMA Chart by utilizing CLOUDSIM experiments.
Control charts, Monitoring, Process control, Cloud computing, Quality of service, Resource management, Performance analysis
C. Tsai, S. Lu and J. Chen, "A New Quality Chart to Improve the Efficiency of Cloud Resource Management," 2015 IEEE 12th International Conference on e-Business Engineering (ICEBE), Beijing, China, 2015, pp. 434-438.