Rorqual: Speeding up Narwhal with TEEs ...
In this paper, we introduce Rorqual, a protocol designed to enhance the performance of the Narwhal Mempool by integrating Trusted Execution Environments (TEEs). Both Narwhal and Roqual are protocols based on a Directed Acyclic Graph (DAG). Compared to Narwhal, Rorqual achieves significant reductions...
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Online Access: | https://dx.doi.org/10.48550/arxiv.2408.14099 https://arxiv.org/abs/2408.14099 |
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ftdatacite:10.48550/arxiv.2408.14099 2024-09-30T14:38:38+00:00 Rorqual: Speeding up Narwhal with TEEs ... Freitas, Luciano Motepalli, Shashank Pavlovic, Matej Livshits, Benjamin 2024 https://dx.doi.org/10.48550/arxiv.2408.14099 https://arxiv.org/abs/2408.14099 unknown arXiv Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Distributed, Parallel, and Cluster Computing cs.DC FOS: Computer and information sciences CreativeWork Preprint Article article 2024 ftdatacite https://doi.org/10.48550/arxiv.2408.14099 2024-09-02T09:27:22Z In this paper, we introduce Rorqual, a protocol designed to enhance the performance of the Narwhal Mempool by integrating Trusted Execution Environments (TEEs). Both Narwhal and Roqual are protocols based on a Directed Acyclic Graph (DAG). Compared to Narwhal, Rorqual achieves significant reductions in latency and increases throughput by streamlining the steps required to include a vertex in the DAG. The use of TEEs also reduces the communication complexity of the protocol while maintaining low computational costs. Through rigorous analysis, we demonstrate the protocol's robustness under both normal and adversarial conditions, highlighting its improvements in throughput, latency, and security. ... : 11 pages, 1 table, 9 algorithms ... Article in Journal/Newspaper narwhal* DataCite Rorqual ENVELOPE(-62.311,-62.311,-65.648,-65.648) |
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DataCite |
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ftdatacite |
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unknown |
topic |
Distributed, Parallel, and Cluster Computing cs.DC FOS: Computer and information sciences |
spellingShingle |
Distributed, Parallel, and Cluster Computing cs.DC FOS: Computer and information sciences Freitas, Luciano Motepalli, Shashank Pavlovic, Matej Livshits, Benjamin Rorqual: Speeding up Narwhal with TEEs ... |
topic_facet |
Distributed, Parallel, and Cluster Computing cs.DC FOS: Computer and information sciences |
description |
In this paper, we introduce Rorqual, a protocol designed to enhance the performance of the Narwhal Mempool by integrating Trusted Execution Environments (TEEs). Both Narwhal and Roqual are protocols based on a Directed Acyclic Graph (DAG). Compared to Narwhal, Rorqual achieves significant reductions in latency and increases throughput by streamlining the steps required to include a vertex in the DAG. The use of TEEs also reduces the communication complexity of the protocol while maintaining low computational costs. Through rigorous analysis, we demonstrate the protocol's robustness under both normal and adversarial conditions, highlighting its improvements in throughput, latency, and security. ... : 11 pages, 1 table, 9 algorithms ... |
format |
Article in Journal/Newspaper |
author |
Freitas, Luciano Motepalli, Shashank Pavlovic, Matej Livshits, Benjamin |
author_facet |
Freitas, Luciano Motepalli, Shashank Pavlovic, Matej Livshits, Benjamin |
author_sort |
Freitas, Luciano |
title |
Rorqual: Speeding up Narwhal with TEEs ... |
title_short |
Rorqual: Speeding up Narwhal with TEEs ... |
title_full |
Rorqual: Speeding up Narwhal with TEEs ... |
title_fullStr |
Rorqual: Speeding up Narwhal with TEEs ... |
title_full_unstemmed |
Rorqual: Speeding up Narwhal with TEEs ... |
title_sort |
rorqual: speeding up narwhal with tees ... |
publisher |
arXiv |
publishDate |
2024 |
url |
https://dx.doi.org/10.48550/arxiv.2408.14099 https://arxiv.org/abs/2408.14099 |
long_lat |
ENVELOPE(-62.311,-62.311,-65.648,-65.648) |
geographic |
Rorqual |
geographic_facet |
Rorqual |
genre |
narwhal* |
genre_facet |
narwhal* |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.48550/arxiv.2408.14099 |
_version_ |
1811641262955036672 |