摘要
We propose a Distributed Deadline Propagation (D2P) approach for datacenter applications to tolerate latency variability. The key idea of D 2P is to allow local nodes to perceive global deadline information and to propagate the information among distributed nodes. Local nodes can leverage the information to do scheduling and adjust processing speed to reduce latency variability. Preliminary experimental results show that D2P has the potential of reducing the long-tail latency in datacenters by lever-aging propagated deadline information on the local nodes.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 5th Asia-Pacific Workshop on Systems, APSYS 2014 |
| 出版商 | Association for Computing Machinery |
| ISBN（印刷版） | 9781450330244 |
| DOI | |
| 出版状态 | 已出版 - 2014 |
| 已对外发布 | 是 |
| 活动 | 5th ACM Asia-Pacific Workshop on Systems, APSYS 2014 - Beijing, 中国 期限: 25 6月 2014 → 26 6月 2014 |
出版系列
| 姓名 | Proceedings of 5th Asia-Pacific Workshop on Systems, APSYS 2014 |
|---|
会议
| 会议 | 5th ACM Asia-Pacific Workshop on Systems, APSYS 2014 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 25/06/14 → 26/06/14 |
指纹
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Ren, R., Ma, J., Sui, X., & Bao, Y. (2014). D2P: A distributed deadline propagation approach to tolerate long-tail latency in datacenters. 在 Proceedings of 5th Asia-Pacific Workshop on Systems, APSYS 2014 (Proceedings of 5th Asia-Pacific Workshop on Systems, APSYS 2014). Association for Computing Machinery. https://doi.org/10.1145/2637166.2637226