2011
DOI: 10.1002/nem.785
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GigaManP2P: an overlay network for distributed QoS management and resilient routing

Abstract: SUMMARYManagement of long-distance, high-speed optical backbones spanning multiple administrative domains requires new solutions for challenging tasks. In particular, it is not trivial to negotiate, monitor and continuously enforce the required quality of service (QoS) for applications that span multiple domains. This paper proposes GigaManP2P: a novel peer-to-peer (P2P) management architecture for high-speed QoSaware backbones. GigaManP2P peers provide management services in a ubiquitous fashion through modul… Show more

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Cited by 3 publications
(3 citation statements)
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“…The authors in [22] presented a new P2P management system for the high-speed quality of service-aware backbones. The system uses a module, which interfaces network peers and infrastructure used in communication.…”
Section: Table 3: Fitness Parameters Notationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The authors in [22] presented a new P2P management system for the high-speed quality of service-aware backbones. The system uses a module, which interfaces network peers and infrastructure used in communication.…”
Section: Table 3: Fitness Parameters Notationsmentioning
confidence: 99%
“…This is easily true for homogenous systems, but hardly so for real-life peer distribution. Transparency and size scalability [22], [114] Evolutionary game P2P incentive mechanism [72] Social network P2P resource discovery [87] Case study of BitTorrent traffic P2P traffic prediction [115] P2P traffic prediction [116] Wavelet analysis and Kalman filter P2P traffic prediction [119], [120] P2P pricing by ISPs [121] LMD and GARCH Flash P2P traffic prediction [122],[123 Graph theory Characterizing P2P botnets [124] Incomplete and dynamic game P2P incentive mechanism [125] Credit incentives for quality video upload [126] P2P content availability [127], [128] P2P trust management [43], [129] Peer pollution in P2P…”
Section: Peer-to-peer Network Modellingmentioning
confidence: 99%
“…According to the different views and definitions of the concept of the content similarity, there are several wellknown approaches for content grouping which shapes the discovery mechanisms in the directions. Proximity-ware [183][184][185][186][187], semantic-aware [188][189][190][191][192] and QoS-aware [193][194][195] resource discovery are the sample applications of content-based grouping. Proximity-aware grouping approaches (like TriPod [49]) organizes the close resources in the same group while semanticaware grouping methods [46,196] organize the semantically similar resources in the same group.…”
Section: Grouping Approaches (Virtual Clustering)mentioning
confidence: 99%