PRISM

Benchmark
Model:csma v.1 (MDP)
Parameter(s)N = 2, K = 2
Property:time_max (exp-reward)
Invocation (default)
../fix-syntax ../prism -javamaxmem 11g -cuddmaxmem 4g -heuristic speed -e 1e-6 -maxiters 1000000 csma.2-2.prism csma.props --property time_max
Execution
Walltime:1.2766060829162598s
Return code:0
Relative Error:4.4778097538667e-06
Log
PRISM
=====

Version: 4.5.dev
Date: Fri Feb 26 16:40:58 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 csma.2-2.prism csma.props --property time_max

Parsing model file "csma.2-2.prism"...

Type:        MDP
Modules:     bus station1 station2 
Variables:   b y1 y2 s1 x1 bc1 cd1 s2 x2 bc2 cd2 

Parsing properties file "csma.props"...

5 properties:
(1) "all_before_max": Pmax=? [ !"collision_max_backoff" U "all_delivered" ]
(2) "all_before_min": Pmin=? [ !"collision_max_backoff" U "all_delivered" ]
(3) "some_before": Pmin=? [ F min_backoff_after_success<K ]
(4) "time_max": R{"time"}max=? [ F "all_delivered" ]
(5) "time_min": R{"time"}min=? [ F "all_delivered" ]

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Model checking: "time_max": R{"time"}max=? [ F "all_delivered" ]

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

Building model...

Computing reachable states...

Reachability (BFS): 85 iterations in 0.01 seconds (average 0.000176, setup 0.00)

Time for model construction: 0.036 seconds.

Type:        MDP
States:      1038 (1 initial)
Transitions: 1282
Choices:     1054

Transition matrix: 2120 nodes (4 terminal), 1282 minterms, vars: 30r/30c/9nd

Prob0E: 91 iterations in 0.02 seconds (average 0.000220, setup 0.00)

Prob1A: 1 iterations in 0.00 seconds (average 0.000000, setup 0.00)

goal = 3, inf = 0, maybe = 1035

Computing remaining rewards...
Engine: Sparse

Building sparse matrix (transitions)... [n=1038, nc=1051, nnz=1279, k=2] [23.1 KB]
Building sparse matrix (transition rewards)... [n=1038, nc=1051, nnz=841, k=2] [18.0 KB]
Creating vector for state rewards... [8.1 KB]
Creating vector for inf... [8.1 KB]
Allocating iteration vectors... [2 x 8.1 KB]
TOTAL: [73.6 KB]

Starting iterations...

Iterative method: 170 iterations in 0.00 seconds (average 0.000012, setup 0.00)

Value in the initial state: 70.66544333833558

Time for model checking: 0.027 seconds.

Result: 70.66544333833558 (value in the initial state)


Overall running time: 0.295 seconds.

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Note: There was 1 warning during computation.