1. C. Delimitrou and C. Kozyrakis, “Quasar: resource-efficient and QoS-aware cluster management,” in ACM SIGARCH Computer Architecture News, vol. 42, no. 1. ACM, 2014, pp. 127–144.
2. O. Alipourfard, H. H. Liu, J. Chen, S. Venkataraman, M. Yu, and M. Zhang, “Cherrypick: Adaptively unearthing the best cloud configurations for big data analytics,” in 14th {USENIX}Symposium on Networked Systems Design and Implementation ({NSDI}17), 2017, pp. 469–482.
3. S. Venkataraman, Z. Yang, M. Franklin, B. Recht, and I. Stoica, “Ernest: efficient performance prediction for large-scale advanced analytics,” in 13th {USENIX}Symposium on Networked Systems Design and Implementation ({NSDI}16), 2016, pp. 363–378.
4. N. J. Yadwadkar, B. Hariharan, J. E. Gonzalez, B. Smith, and R. H. Katz, “Selecting the best VM across multiple public clouds: A data-driven performance modeling approach,” in ACM SoCC, 2017.
5. Q. Zhang et al., “Dynamic energy-aware capacity provisioning for cloud computing environments,” in ACM ICAC, 2012, pp. 145–154.