source: examples/scaling_tests/daisychain/likes_python/base/README @ ecb1628

abac0-leakabac0-meimei-idmei-rt0-nmei_rt0tvf-new-xml
Last change on this file since ecb1628 was 7e3f5e2, checked in by Mei <mei@…>, 12 years ago

1) converted daisychain scaling tests

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Line 
1#!/bin/sh
2#
3#  This demonstrates scalability of libabac.
4#  A basic chaining attribute rule, Ai+1.likes <- Ai.likes
5#  and the borderline case of Ao.likes <- Ao are created in
6#  ATTR.py. X of these attribute rules are made, where the
7#  matching ID principals are made in SETUP.py.
8#  A query of Ax.likes <-?- Ao will let us know how fast
9#  do the prolog db runs down the X attribute rules to arrive
10#  at the solution and also Ao.likes <-?- Ax tells us
11#  how long it takes to not validate the assumption
12
13# borderline Credential
14# [keyid:John0].role:likes <- [keyid:John0]
15#
16# [keyid:John1].role:likes <- [keyid:John0].likes
17# John1 likes everything John0 likes
18#
19# [keyid:John2].role:likes <- [keyid:John1].likes
20#
21# and so on
22
23# good query,   Does JohnN likes John0 ?
24#   [keyid:JohnN].role:likes <-?- [keyid:John0]
25#
26# bad query,    Does John0 likes JohnN?
27#   [keyid:John0].role:likes <-?- [keyid:JohnN]
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