Abstract | ||
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Peer-to-Peer overlays, used by applications like distributed online social networks, need the ability to adjust their system parameters and thus the system performance to provide a certain level of quality, i.e. to ensure maximum response times. For the control of p2p network, a reliable information basis about the system’s state is essential, i.e. what the current average response time is. A precise and rapidly adapting monitoring mechanism can provide the desired knowledge. In this paper we propose SkyEye, a tree-based monitoring approach which operates on top of an existing structured p2p overlay. It provides through a lightweight, error-prone protocol a continuous monitoring of all peers in the network. It gathers and disseminates sophisticated statistics on a wide range of metrics from all peers, to all peers. Evaluation shows a superior precision and adapting rate compared to an implementation of the gossip-based push-sum algorithm in scenarios with churn and without churn. |
Year | DOI | Venue |
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2017 | 10.1016/j.pmcj.2017.07.003 | Pervasive and Mobile Computing |
Keywords | Field | DocType |
p2p,Monitoring,Tree-based overlay,Distributed aggregation | Social network,Peer-to-peer,Computer science,Gossip,Computer network,Response time,Continuous monitoring,Overlay,Distributed computing | Journal |
Volume | ISSN | Citations |
40 | 1574-1192 | 2 |
PageRank | References | Authors |
0.40 | 15 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kalman Graffi | 1 | 228 | 28.17 |
Andreas Disterhöft | 2 | 2 | 1.42 |