From RDMA to RDCA: Toward High-Speed Last Mile of Data Center Networks Using Remote Direct Cache Access Article Swipe
YOU?
·
· 2022
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2211.05975
In this paper, we conduct systematic measurement studies to show that the high memory bandwidth consumption of modern distributed applications can lead to a significant drop of network throughput and a large increase of tail latency in high-speed RDMA networks.We identify its root cause as the high contention of memory bandwidth between application processes and network processes. This contention leads to frequent packet drops at the NIC of receiving hosts, which triggers the congestion control mechanism of the network and eventually results in network performance degradation. To tackle this problem, we make a key observation that given the distributed storage service, the vast majority of data it receives from the network will be eventually written to high-speed storage media (e.g., SSD) by CPU. As such, we propose to bypass host memory when processing received data to completely circumvent this performance bottleneck. In particular, we design Lamda, a novel receiver cache processing system that consumes a small amount of CPU cache to process received data from the network at line rate. We implement a prototype of Lamda and evaluate its performance extensively in a Clos-based testbed. Results show that for distributed storage applications, Lamda improves network throughput by 4.7% with zero memory bandwidth consumption on storage nodes, and improves network throughput by up 17% and 45% for large block size and small size under the memory bandwidth pressure, respectively. Lamda can also be applied to latency-sensitive HPC applications, which reduces their communication latency by 35.1%.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2211.05975
- https://arxiv.org/pdf/2211.05975
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4309044644
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4309044644Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2211.05975Digital Object Identifier
- Title
-
From RDMA to RDCA: Toward High-Speed Last Mile of Data Center Networks Using Remote Direct Cache AccessWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-11Full publication date if available
- Authors
-
Qiang Li, Qiao Xiang, Derui Liu, Yuxin Wang, Haonan Qiu, Gexiao Tian, Xiaoliang Wang, Lulu Chen, Ridi Wen, Jianbo Dong, Yuanyuan Gong, Yixiao Gao, Haohao Song, Zhiwu Wu, Shaozong Liu, Zicheng Luo, Yuchao Shao, Yaohui Wu, Chao Han, Tian Chen, Zhongjie Wu, Zheng Cao, Jinbo Wu, Jiwu Shu, Jiesheng WuList of authors in order
- Landing page
-
https://arxiv.org/abs/2211.05975Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2211.05975Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2211.05975Direct OA link when available
- Concepts
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Remote direct memory access, Computer science, Computer network, Bottleneck, Throughput, Cache, Latency (audio), Network packet, Operating system, Embedded system, Wireless, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2211.05975 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2211.05975 |
| publication_date | 2022-11-11 |
| publication_year | 2022 |
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