PRISM

Benchmark
Model:firewire_abst v.1 (MDP)
Parameter(s)delay = 36
Property:time_min (exp-reward)
Invocation (default)
../fix-syntax ../prism -javamaxmem 11g -cuddmaxmem 4g -heuristic speed -e 1e-6 -maxiters 1000000 firewire_abst.prism firewire_abst.props --property time_min -const delay=36
Execution
Walltime:1.286562442779541s
Return code:0
Relative Error:0.0
Log
PRISM
=====

Version: 4.5.dev
Date: Fri Feb 26 16:41:51 CET 2021
Hostname: christopher
Memory limits: cudd=4g, java(heap)=11g
Command line: prism -javamaxmem 11g -cuddmaxmem 4g -heuristic speed -e 1e-6 -maxiters 1000000 firewire_abst.prism firewire_abst.props --property time_min -const delay=36

Parsing model file "firewire_abst.prism"...

Type:        MDP
Modules:     abstract_firewire 
Variables:   x s 

Parsing properties file "firewire_abst.props"...

4 properties:
(1) "elected": P>=1 [ F "done" ]
(2) "rounds": R{"rounds"}min=? [ F "done" ]
(3) "time_max": R{"time"}max=? [ F "done" ]
(4) "time_min": R{"time"}min=? [ F "done" ]

---------------------------------------------------------------------

Model checking: "time_min": R{"time"}min=? [ F "done" ]
Model constants: delay=36

Warning: Switching to sparse engine and (backwards) Gauss Seidel (default for heuristic=speed).

Building model...
Model constants: delay=36

Computing reachable states...

Reachability (BFS): 170 iterations in 0.00 seconds (average 0.000018, setup 0.00)

Time for model construction: 0.054 seconds.

Type:        MDP
States:      776 (1 initial)
Transitions: 1411
Choices:     1189

Transition matrix: 407 nodes (3 terminal), 1411 minterms, vars: 12r/12c/3nd

Prob0A: 126 iterations in 0.01 seconds (average 0.000040, setup 0.00)

Prob1E: 127 iterations in 0.00 seconds (average 0.000024, setup 0.00)

Warning: PRISM hasn't checked for zero-reward loops.
Your minimum rewards may be too low...

goal = 1, inf = 0, maybe = 775

Computing remaining rewards...
Engine: Sparse

Building sparse matrix (transitions)... [n=776, nc=1188, nnz=1410, k=3] [24.2 KB]
Building sparse matrix (transition rewards)... [n=776, nc=1188, nnz=766, k=3] [16.6 KB]
Creating vector for state rewards... [6.1 KB]
Creating vector for inf... [6.1 KB]
Allocating iteration vectors... [2 x 6.1 KB]
TOTAL: [65.1 KB]

Starting iterations...

Iterative method: 126 iterations in 0.00 seconds (average 0.000016, setup 0.00)

Value in the initial state: 102.25

Time for model checking: 0.012 seconds.

Result: 102.25 (value in the initial state)


Overall running time: 0.305 seconds.

---------------------------------------------------------------------

Note: There were 2 warnings during computation.