Multi-Trust-Incentives: Difference between revisions
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====One-Step-Matrix==== |
====One-Step-Matrix==== |
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The Evaluation of Trust between peers is measured in a Matrix M. This N * N matrix defines a |
The Evaluation of Trust between peers is measured in a Matrix M. This N * N matrix defines a one-step rank among peers. |
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All values are measured as the normalized download volume that a peer i has received from a peer j during a period. |
All values are measured as the normalized download volume that a peer i has received from a peer j during a period of time. |
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====Two-Step-Matrix==== |
====Two-Step-Matrix==== |
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Revision as of 19:56, 31 July 2007
Multi-Trust-Incentives
The major problem of private history based incentive systems is their coverage. Resolving it requires leveraging other reputable peers’ history which leads directly to the EigenTrust mechanism. Multi-Trust-Incentives try to mix both mechanisms.
Design of Multi-Trust-Incentives
Mathematical View
One-Step-Matrix
The Evaluation of Trust between peers is measured in a Matrix M. This N * N matrix defines a one-step rank among peers. All values are measured as the normalized download volume that a peer i has received from a peer j during a period of time.
Two-Step-Matrix
A two-step-matrix describes the relation in 3 levels.
