@inproceedings{86f771d176fd4e6d969077b62738b8e4,
title = "Flex: Closing the Gaps between Usage and Allocation",
abstract = "Most of data centers are significantly underutilized. One of the major reasons is the big gaps between the real usage and the provisioned resources. In this paper, we first conduct an in-depth analysis of a Google cluster trace to unveil the root causes for low utilization and highlight the great potential to improve it. We then developed an online resource manager Flex to maximize the cluster utilization while satisfying the Quality of Service (QoS). Large-scale evaluations show that Flex admits up to 1.74× more requests and 1.6× higher utilization compared to tradition schedulers while maintaining the QoS. The full version of this paper is [4].",
keywords = "Distributed Systems, Resource Allocation, Task Schedulers",
author = "Le, \{Tan N.\} and Zhenhua Liu",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 11th ACM International Conference on Future Energy Systems, e-Energy 2020 ; Conference date: 22-06-2020 Through 26-06-2020",
year = "2020",
month = jun,
day = "12",
doi = "10.1145/3396851.3403514",
language = "English",
series = "e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems",
publisher = "Association for Computing Machinery, Inc",
pages = "404--405",
booktitle = "e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems",
}