PRISM
=====
Version: 4.5.dev
Date: Sat Mar 14 13:57:17 UTC 2020
Hostname: e72bdd194fc5
Memory limits: cudd=4g, java(heap)=11g
Command line: prism -javamaxmem 11g -cuddmaxmem 4g -heuristic speed -e 1e-6 -maxiters 1000000 embedded.prism embedded.props --property actuators -const 'MAX_COUNT=8,T=12'
Parsing model file "embedded.prism"...
Type: CTMC
Modules: sensors proci actuators proco procm bus
Variables: s i a o m count comp reqi reqo
Parsing properties file "embedded.props"...
14 properties:
(1) "actuators": P=? [ !"down" U "fail_actuators" ]
(2) "actuators_T": P=? [ !"down" U<=(T*3600) "fail_sensors" ]
(3) "danger_T": R{"danger"}=? [ C<=(T*3600) ]
(4) "danger_time": R{"danger"}=? [ F "down" ]
(5) "down_T": R{"down"}=? [ C<=(T*3600) ]
(6) "failure_T": P=? [ F<=(T*3600) "down" ]
(7) "io": P=? [ !"down" U "fail_io" ]
(8) "io_T": P=? [ !"down" U<=(T*3600) "fail_io" ]
(9) "main": P=? [ !"down" U "fail_main" ]
(10) "main_T": P=? [ !"down" U<=(T*3600) "fail_main" ]
(11) "sensors": P=? [ !"down" U "fail_sensors" ]
(12) "sensors_T": P=? [ !"down" U<=(T*3600) "fail_sensors" ]
(13) "up_T": R{"up"}=? [ C<=(T*3600) ]
(14) "up_time": R{"up"}=? [ F "down" ]
---------------------------------------------------------------------
Model checking: "actuators": P=? [ !"down" U "fail_actuators" ]
Model constants: MAX_COUNT=8
Warning: Switching to sparse engine and (backwards) Gauss Seidel (default for heuristic=speed).
Building model...
Model constants: MAX_COUNT=8
Computing reachable states...
Reachability (BFS): 21 iterations in 0.02 seconds (average 0.001048, setup 0.00)
Time for model construction: 0.032 seconds.
Type: CTMC
States: 8548 (1 initial)
Transitions: 36041
Rate matrix: 1819 nodes (9 terminal), 36041 minterms, vars: 16r/16c
Diagonals vector: 841 nodes (69 terminal), 8548 minterms
Embedded Markov chain: 14290 nodes (309 terminal), 36041 minterms
Prob0: 4 iterations in 0.01 seconds (average 0.002500, setup 0.00)
Prob1: 2 iterations in 0.00 seconds (average 0.000500, setup 0.00)
yes = 1064, no = 6356, maybe = 1128
Computing remaining probabilities...
Engine: Sparse
Building sparse matrix... [n=8548, nnz=7380, compact] [38.1 KB]
Creating vector for diagonals... [dist=5, compact] [16.7 KB]
Creating vector for RHS... [dist=2, compact] [16.7 KB]
Allocating iteration vector... [66.8 KB]
TOTAL: [138.3 KB]
Starting iterations...
Backwards Gauss-Seidel: 377 iterations in 0.11 seconds (average 0.000252, setup 0.01)
Value in the initial state: 0.10530067468069286
Time for model checking: 0.06 seconds.
Result: 0.10530067468069286 (value in the initial state)
Overall running time: 0.689 seconds.
---------------------------------------------------------------------
Note: There was 1 warning during computation.