Dart: Divide and Specialize for Fast Response to Congestion in RDMA-based Datacenter Networks Article Swipe
YOU?
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· 2018
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.1805.11158
Though Remote Direct Memory Access (RDMA) promises to reduce datacenter network latencies significantly compared to TCP (e.g., 10x), end-to-end congestion control in the presence of incasts is a challenge. Targeting the full generality of the congestion problem, previous schemes rely on slow, iterative convergence to the appropriate sending rates (e.g., TIMELY takes 50 RTTs). Several papers have shown that even in oversubscribed datacenter networks most congestion occurs at the receiver. Accordingly, we propose a divide-and-specialize approach, called Dart, which isolates the common case of receiver congestion and further subdivides the remaining in-network congestion into the simpler spatially-localized and the harder spatially-dispersed cases. For receiver congestion, we propose direct apportioning of sending rates (DASR) in which a receiver for n senders directs each sender to cut its rate by a factor of n, converging in only one RTT. For the spatially-localized case, Dart provides fast (under one RTT) response by adding novel switch hardware for in-order flow deflection (IOFD) because RDMA disallows packet reordering on which previous load balancing schemes rely. For the uncommon spatially-dispersed case, Dart falls back to DCQCN. Small-scale testbed measurements and at-scale simulations, respectively, show that Dart achieves 60% (2.5x) and 79% (4.8x) lower 99th-percentile latency, and similar and 58% higher throughput than InfiniBand, and TIMELY and DCQCN.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1805.11158
- https://arxiv.org/pdf/1805.11158
- OA Status
- green
- Cited By
- 2
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2807221803
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2807221803Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1805.11158Digital Object Identifier
- Title
-
Dart: Divide and Specialize for Fast Response to Congestion in RDMA-based Datacenter NetworksWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-05-28Full publication date if available
- Authors
-
Jaichen Xue, Muhammad Usama Chaudhry, Balajee Vamanan, T. N. Vijaykumar, Mithuna ThottethodiList of authors in order
- Landing page
-
https://arxiv.org/abs/1805.11158Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1805.11158Direct 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/1805.11158Direct OA link when available
- Concepts
-
Remote direct memory access, InfiniBand, Computer science, Network congestion, Computer network, Testbed, Network packet, Latency (audio), Dart, Queueing theory, Throughput, Operating system, Telecommunications, Wireless, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
52Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| best_oa_location.pdf_url | https://arxiv.org/pdf/1805.11158 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/1805.11158 |
| primary_location.id | pmh:oai:arXiv.org:1805.11158 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| 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/1805.11158 |
| 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/1805.11158 |
| publication_date | 2018-05-28 |
| publication_year | 2018 |
| referenced_works | https://openalex.org/W2130531694, https://openalex.org/W2561316271, https://openalex.org/W2163009346, https://openalex.org/W2164740236, https://openalex.org/W2132320636, https://openalex.org/W982826035, https://openalex.org/W2540750097, https://openalex.org/W2102369238, https://openalex.org/W2056394733, https://openalex.org/W2923576065, https://openalex.org/W2744698795, https://openalex.org/W2062832101, https://openalex.org/W1716229707, https://openalex.org/W2142480021, https://openalex.org/W1987879194, https://openalex.org/W1560852713, https://openalex.org/W2103110737, https://openalex.org/W119149194, https://openalex.org/W2101871381, https://openalex.org/W2339570159, https://openalex.org/W2112593437, https://openalex.org/W2809353470, https://openalex.org/W2157990152, https://openalex.org/W2151972741, https://openalex.org/W1982063824, https://openalex.org/W2116907011, https://openalex.org/W2154323564, https://openalex.org/W2744387122, https://openalex.org/W2036003010, https://openalex.org/W1998471240, https://openalex.org/W1988150362, https://openalex.org/W2168595508, https://openalex.org/W2769038759, https://openalex.org/W1503891749, https://openalex.org/W2744567246, https://openalex.org/W2140101134, https://openalex.org/W2102549685, https://openalex.org/W2096825367, https://openalex.org/W2042876290, https://openalex.org/W2505830093, https://openalex.org/W2025381140, https://openalex.org/W2134889667, https://openalex.org/W1984788566, https://openalex.org/W1532546444, https://openalex.org/W2008041840, https://openalex.org/W1968331080, https://openalex.org/W2096313289, https://openalex.org/W2493400205, https://openalex.org/W2530088943, https://openalex.org/W2167025919, https://openalex.org/W1579768150, https://openalex.org/W1964092730 |
| referenced_works_count | 52 |
| abstract_inverted_index.a | 27, 73, 115, 128 |
| abstract_inverted_index.n | 118 |
| abstract_inverted_index.50 | 52 |
| abstract_inverted_index.at | 67 |
| abstract_inverted_index.by | 127, 148 |
| abstract_inverted_index.in | 21, 60, 113, 133 |
| abstract_inverted_index.is | 26 |
| abstract_inverted_index.n, | 131 |
| abstract_inverted_index.of | 24, 33, 83, 109, 130 |
| abstract_inverted_index.on | 40, 163 |
| abstract_inverted_index.to | 7, 14, 44, 123, 178 |
| abstract_inverted_index.we | 71, 105 |
| abstract_inverted_index.58% | 202 |
| abstract_inverted_index.60% | 191 |
| abstract_inverted_index.79% | 194 |
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| abstract_inverted_index.TCP | 15 |
| abstract_inverted_index.and | 86, 97, 183, 193, 199, 201, 207, 209 |
| abstract_inverted_index.cut | 124 |
| abstract_inverted_index.for | 117, 153 |
| abstract_inverted_index.its | 125 |
| abstract_inverted_index.one | 135, 145 |
| abstract_inverted_index.the | 22, 30, 34, 45, 68, 80, 89, 94, 98, 138, 171 |
| abstract_inverted_index.Dart | 141, 175, 189 |
| abstract_inverted_index.RDMA | 159 |
| abstract_inverted_index.RTT) | 146 |
| abstract_inverted_index.RTT. | 136 |
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| abstract_inverted_index.case | 82 |
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| abstract_inverted_index.flow | 155 |
| abstract_inverted_index.full | 31 |
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| abstract_inverted_index.rely | 39 |
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| abstract_inverted_index.that | 58, 188 |
| abstract_inverted_index.10x), | 17 |
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| abstract_inverted_index.case, | 140, 174 |
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| abstract_inverted_index.lower | 196 |
| abstract_inverted_index.novel | 150 |
| abstract_inverted_index.rates | 48, 111 |
| abstract_inverted_index.rely. | 169 |
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| abstract_inverted_index.slow, | 41 |
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| abstract_inverted_index.which | 78, 114, 164 |
| abstract_inverted_index.(2.5x) | 192 |
| abstract_inverted_index.(4.8x) | 195 |
| abstract_inverted_index.(DASR) | 112 |
| abstract_inverted_index.(IOFD) | 157 |
| abstract_inverted_index.(RDMA) | 5 |
| abstract_inverted_index.(e.g., | 16, 49 |
| abstract_inverted_index.(under | 144 |
| abstract_inverted_index.Access | 4 |
| abstract_inverted_index.DCQCN. | 179, 210 |
| abstract_inverted_index.Direct | 2 |
| abstract_inverted_index.Memory | 3 |
| abstract_inverted_index.RTTs). | 53 |
| abstract_inverted_index.Remote | 1 |
| abstract_inverted_index.TIMELY | 50, 208 |
| abstract_inverted_index.Though | 0 |
| abstract_inverted_index.adding | 149 |
| abstract_inverted_index.called | 76 |
| abstract_inverted_index.cases. | 101 |
| abstract_inverted_index.common | 81 |
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| abstract_inverted_index.factor | 129 |
| abstract_inverted_index.harder | 99 |
| abstract_inverted_index.higher | 203 |
| abstract_inverted_index.occurs | 66 |
| abstract_inverted_index.packet | 161 |
| abstract_inverted_index.papers | 55 |
| abstract_inverted_index.reduce | 8 |
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| abstract_inverted_index.switch | 151 |
| abstract_inverted_index.Several | 54 |
| abstract_inverted_index.because | 158 |
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| abstract_inverted_index.directs | 120 |
| abstract_inverted_index.further | 87 |
| abstract_inverted_index.incasts | 25 |
| abstract_inverted_index.network | 10 |
| abstract_inverted_index.propose | 72, 106 |
| abstract_inverted_index.schemes | 38, 168 |
| abstract_inverted_index.senders | 119 |
| abstract_inverted_index.sending | 47, 110 |
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| abstract_inverted_index.testbed | 181 |
| abstract_inverted_index.achieves | 190 |
| abstract_inverted_index.at-scale | 184 |
| abstract_inverted_index.compared | 13 |
| abstract_inverted_index.hardware | 152 |
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| abstract_inverted_index.isolates | 79 |
| abstract_inverted_index.latency, | 198 |
| abstract_inverted_index.networks | 63 |
| abstract_inverted_index.presence | 23 |
| abstract_inverted_index.previous | 37, 165 |
| abstract_inverted_index.problem, | 36 |
| abstract_inverted_index.promises | 6 |
| abstract_inverted_index.provides | 142 |
| abstract_inverted_index.receiver | 84, 103, 116 |
| abstract_inverted_index.response | 147 |
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| abstract_inverted_index.Targeting | 29 |
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| abstract_inverted_index.latencies | 11 |
| abstract_inverted_index.receiver. | 69 |
| abstract_inverted_index.remaining | 90 |
| abstract_inverted_index.challenge. | 28 |
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| abstract_inverted_index.datacenter | 9, 62 |
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| abstract_inverted_index.InfiniBand, | 206 |
| abstract_inverted_index.Small-scale | 180 |
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| abstract_inverted_index.congestion, | 104 |
| abstract_inverted_index.convergence | 43 |
| abstract_inverted_index.Accordingly, | 70 |
| abstract_inverted_index.apportioning | 108 |
| abstract_inverted_index.measurements | 182 |
| abstract_inverted_index.simulations, | 185 |
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| abstract_inverted_index.oversubscribed | 61 |
| abstract_inverted_index.99th-percentile | 197 |
| abstract_inverted_index.spatially-dispersed | 100, 173 |
| abstract_inverted_index.spatially-localized | 96, 139 |
| abstract_inverted_index.divide-and-specialize | 74 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |