CSI2: Cloud Server Idleness Identification by Advanced Machine Learning in Theories and Practice

Author:

Duan Jun,Li Guangcheng,Asthana Neeraj,Zeng Sai,Dell’Era Ivan,Chanana Aman,Agastya Chitra,Pointer William,Yan Rong

Publisher

Springer International Publishing

Reference13 articles.

1. Koomey, J., Taylor, J.: 30 percent of servers are ‘comatose’. http://anthesisgroup.com/wp-content/uploads/2015/06/Case-Study_DataSupports30PercentComatoseEstimate-FINAL_06032015.pdf

2. Stoess, J., Lang, C., Bellosa, F.: Energy management for hypervisor-based virtual machines. In: 2007 USENIX Annual Technical Conference on Proceedings of the USENIX Annual Technical Conference, ATC 2007, USENIX Association, Berkeley, CA, USA, pp. 1:1–1:14 (2007)

3. Wu, H., et al.: Automatic cloud bursting under fermicloud. In: 2013 International Conference on Parallel and Distributed Systems (ICPADS), pp. 681–686, December 2013

4. Wood, T., Shenoy, P., Venkataramani, A., Yousif, M.: Black-box and gray-box strategies for virtual machine migration. In: Proceedings of the 4th USENIX Conference on Networked Systems Design and Implementation, NSDI 2007, USENIX Association, Berkeley, CA, USA, p. 17 (2007)

5. Breitgand, D., Epstein, A.: Improving consolidation of virtual machines with risk-aware bandwidth oversubscription in compute clouds. In: INFOCOM, 2012 Proceedings IEEE, pp. 2861–2865, March 2012

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