Multi-Trust-Incentives: Difference between revisions
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===Implementation === |
===Implementation === |
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== Performance == |
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===Coverage Experiment=== |
===Coverage Experiment=== |
Revision as of 19:57, 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.