@inproceedings{3d3a1a19dea8473bb7cffe4fe8ffaf62,
title = "A QOS-aware dynamic resources management for datacenter",
abstract = "The interference of performance between the latency-critical tasks and batch tasks leads to a low utilization of the load in the data centers, because of the competition of the system resources to guarantee the latency of the latency- critical tasks. Our work is to present a system, a controller to increase the utilization of the data center with latency-critical tasks and batch tasks by ensuring the QOS of the memory bandwidth. It isolates the cpu cores of the two kinds of the tasks to ensure there is no competition of an individual cpu core and adjusts the distribution of the memory bandwidth. We based on the memguard to isolate the memory bandwidth for each core and modify its sharing memory bandwidth to adapt for the condition of hybrid loads.",
keywords = "Latency-critical tasks, Memory bandwidth, Quality of service",
author = "Lingyu Ge and Yuebin Bai and Chao Yu and Xudong Zhang and Rui Wang and Longshe Huo",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 2018 the International Conference on Geoinformatics and Data Analysis, ICGDA 2018 and 2018 the International Conference on Software and Services Engineering, ICSSE 2018 ; Conference date: 20-04-2018 Through 22-04-2018",
year = "2018",
month = apr,
day = "20",
doi = "10.1145/3220228.3220251",
language = "英语",
isbn = "9781450364454",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "157--162",
booktitle = "2018 the International Conference on Geoinformatics and Data Analysis, ICGDA 2018 - Workshop 2018 the International Conference on Software and Services Engineering, ICSSE 2018",
address = "美国",
}