The Green Scheduling Architecture for the Virtual Resource Supply
Author:
Publisher
Allerton Press
Subject
Signal Processing,Control and Systems Engineering,Software
Link
https://link.springer.com/content/pdf/10.3103/S0146411623010108.pdf
Reference18 articles.
1. Dalvandi, A., Gurusamy, M., and Chua, K.C., Power-efficient resource-guaranteed VM placement and routing for time-aware data center applications, Comput. Networks, 2015, vol. 88, pp. 249–268. https://doi.org/10.1016/j.comnet.2015.06.017
2. Strunk, A., Costs of virtual machine live migration: A survey, IEEE Eighth World Congress on Services, Honolulu, Hawaii, 2012, IEEE, 2012, pp. 323–329. https://doi.org/10.1109/SERVICES.2012.23
3. Biran, O., Corradi, A., Fanelli, M., Foschini, L., Nus, A., Raz, D., and Silvera, E., A stable network-aware VM placement for cloud systems, 12th IEEE/ACM Int. Symp. on Cluster, Cloud and Grid Computing, Ottawa, Canada, 2012, IEEE, 2012, pp. 498–506. https://doi.org/10.1109/CCGrid.2012.119
4. Xu, F., Liu, F., Liu, L., Jin, H., Li, B., and Li, B., iAware: Making live migration of virtual machines interference-aware in the cloud, IEEE Trans. Comput., 2014, vol. 63, no. 12, pp. 3012–3025. https://doi.org/10.1109/TC.2013.185
5. Chiang, R.C. and Huang, H.H., TRACON: Interference-aware scheduling for data-intensive applications in virtualized environments, IEEE Trans. Parallel Distrib. Syst., 2014, vol. 25, no. 5, pp. 1349–1358. https://doi.org/10.1109/TPDS.2013.82
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