When Idling is Ideal: Optimizing Tail-Latency for Heavy-Tailed Datacenter Workloads with Perséphone

Henri Maxime Demoulin, Joshua Fried, Isaac Pedisich, Marios Kogias, Boon Thau Loo, Linh Thi Xuan Phan, Irene Zhang. When Idling is Ideal: Optimizing Tail-Latency for Heavy-Tailed Datacenter Workloads with Perséphone. In Robbert van Renesse, Nickolai Zeldovich, editors, SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, Virtual Event / Koblenz, Germany, October 26-29, 2021. pages 621-637, ACM, 2021. [doi]

@inproceedings{DemoulinFPKLPZ21,
  title = {When Idling is Ideal: Optimizing Tail-Latency for Heavy-Tailed Datacenter Workloads with Perséphone},
  author = {Henri Maxime Demoulin and Joshua Fried and Isaac Pedisich and Marios Kogias and Boon Thau Loo and Linh Thi Xuan Phan and Irene Zhang},
  year = {2021},
  doi = {10.1145/3477132.3483571},
  url = {https://doi.org/10.1145/3477132.3483571},
  researchr = {https://researchr.org/publication/DemoulinFPKLPZ21},
  cites = {0},
  citedby = {0},
  pages = {621-637},
  booktitle = {SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, Virtual Event / Koblenz, Germany, October 26-29, 2021},
  editor = {Robbert van Renesse and Nickolai Zeldovich},
  publisher = {ACM},
  isbn = {978-1-4503-8709-5},
}