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Erschienen in:
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2013 | OriginalPaper | Buchkapitel

6. Decentralized Monitoring in Peer-to-Peer Systems

verfasst von : Dominik Stingl, Christian Groß, Karsten Saller

Erschienen in: Benchmarking Peer-to-Peer Systems

Verlag: Springer Berlin Heidelberg

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From the early days, with the design of peer-to-peer overlays or with the decentralized storage and retrieval of content [2], researchers began to investigate how to control and manage these peer-to-peer systems. One important step towards the control and management of them is the assessment of the system’s performance. For this purpose, monitoring constitutes an inevitable and necessary element, because it provides the required data basis comprising information about the system and its participating peers. Given this information, the peers themselves or an overlay operator are able to adapt and improve the system according to changing parameters and conditions. Examples for the utilization of monitored data are manifold: (i) Bubblestorm [30] or Viceroy [21] use the monitored number of peers to influence the overlay construction, (ii) DASIS [1] improves a peer’s join process based on monitored data, and (iii) InfoEye [18] even monitors the access frequency of monitored data to reduce latency and cost for the provisioning of such information. …

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Fußnoten
1
Offline variation and online variation will be explained during the following description of the different workloads.
 
2
The Annotated Gnutella Protocol Specification v0.4 http://rfcgnutellasourceforge. net/developer/stable/index.html .
 
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Metadaten
Titel
Decentralized Monitoring in Peer-to-Peer Systems
verfasst von
Dominik Stingl
Christian Groß
Karsten Saller
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Benchmarking Peer-to-Peer Systems

Print ISBN: 978-3-642-38672-5

Electronic ISBN: 978-3-642-38673-2

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-38673-2_6

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