Mnemosyne: Distributed Application Logging over Named Data Networking
Authors: 
Siqi Liu, Lixia ZhangAuthors Info & Claims
Siqi Liu, Lixia ZhangAuthors Info & ClaimsPages 26 - 35
Abstract
Logging is a critical function to enable auditing and enhance security of distributed applications. This paper describes the design of Mnemosyne, a distributed logger running over Named Data Networking(NDN), to meet this need for NDN-based distributed applications. Mnemosyne assures the immutability of logged events by interlocking all event records in a DAG-based ledger. Mnemosyne provides a high logging throughput and system resiliency against network component failures. We implemented Mnemosyne and evaluated its design through an emulated deployment setting.
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Information & Contributors
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Published In
October 2023
138 pages
ISBN:9798400704031
DOI:10.1145/3623565
- General Chairs:
- Kenneth L Calvert,
- Gísli Hjálmtýsson,
- Program Chairs:
- Patrick Crowley,
- Christos Papadopoulos
Copyright © 2023 Owner/Author(s).
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
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Published: 08 October 2023
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ACM ICN '23: 10th ACM Conference on Information-Centric Networking
October 9 - 10, 2023
Reykjavik, Iceland
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