BitTorrent Swarm Analysis through Automation and Enhanced Logging
R\u{a}zvan Deaconescu, Marius Sandu-Popa, Adriana Dr\u{a}ghici,, Nicolae T\u{a}pus

TL;DR
This paper introduces an automated system for collecting and analyzing detailed peer information in BitTorrent swarms, enabling better understanding and measurement of swarm performance and protocol behavior.
Contribution
It presents a novel framework for automated swarm creation, control, and detailed logging, facilitating large-scale analysis of BitTorrent protocol internals.
Findings
Effective collection of real-time peer status data
Enhanced logging for in-depth swarm analysis
Framework supports large swarm experiments
Abstract
Peer-to-Peer protocols currently form the most heavily used protocol class in the Internet, with BitTorrent, the most popular protocol for content distribution, as its flagship. A high number of studies and investigations have been undertaken to measure, analyse and improve the inner workings of the BitTorrent protocol. Approaches such as tracker message analysis, network probing and packet sniffing have been deployed to understand and enhance BitTorrent's internal behaviour. In this paper we present a novel approach that aims to collect, process and analyse large amounts of local peer information in BitTorrent swarms. We classify the information as periodic status information able to be monitored in real time and as verbose logging information to be used for subsequent analysis. We have designed and implemented a retrieval, storage and presentation infrastructure that enables easy…
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Taxonomy
TopicsPeer-to-Peer Network Technologies · Caching and Content Delivery · Advanced Data Storage Technologies
