Multi-Trust-Incentives: Difference between revisions
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|A two-step-matrix <math>M^2</math> describes the relation in 3 levels. |
|A two-step-matrix <math>M^2</math> describes the relation in 3 levels. |
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===Implementation === |
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=== |
|===Implementation === |
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|====Idea==== |
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For a duration of t, a peer i computes his own matrix by normalizing all the downloads it received from a peer j. Periodically i will ask j for j's immediate friends so j computes its own matrix. |
|For a duration of t, a peer i computes his own matrix by normalizing all the downloads it received from a peer j. Periodically i will ask j for j's immediate friends so j computes its own matrix. |
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This process is repeated iteratively until i can not get any more matrices from j. |
This process is repeated iteratively until i can not get any more matrices from j. |
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==== Data Costs within the Maze ==== |
|==== Data Costs within the Maze ==== |
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Within the [[The Maze Peer-To-Peer System|Maze]] Network a peer i has about 36 friends for one day in average. Gathering Information about one-level friends needs 32KB data space in total. Even with level two, it becomes about 1MB for information about peers. Furthermore a daily update does not produce any significant overhead. |
|Within the [[The Maze Peer-To-Peer System|Maze]] Network a peer i has about 36 friends for one day in average. Gathering Information about one-level friends needs 32KB data space in total. Even with level two, it becomes about 1MB for information about peers. Furthermore a daily update does not produce any significant overhead. |
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But moving to higher levels costs for peer information are progressively growing. |
But moving to higher levels costs for peer information are progressively growing. |
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In the end this Multi-Trust Incentive was developed just for level two because it already covers more than 60% of total traffic. |
In the end this Multi-Trust Incentive was developed just for level two because it already covers more than 60% of total traffic. |
Revision as of 20:39, 31 July 2007
Multi-Trust-Incentives
The major problem of private history based incentive systems like Tit-for-Tat 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. |
===Implementation ===
|
====Idea==== | For a duration of t, a peer i computes his own matrix by normalizing all the downloads it received from a peer j. Periodically i will ask j for j's immediate friends so j computes its own matrix.
This process is repeated iteratively until i can not get any more matrices from j. |
==== Data Costs within the Maze ==== | Within the Maze Network a peer i has about 36 friends for one day in average. Gathering Information about one-level friends needs 32KB data space in total. Even with level two, it becomes about 1MB for information about peers. Furthermore a daily update does not produce any significant overhead.
But moving to higher levels costs for peer information are progressively growing. In the end this Multi-Trust Incentive was developed just for level two because it already covers more than 60% of total traffic. Implementation in the Maze |