Mata kuliah :K0362/ Matematika Diskrit Tahun :2008

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Presentation transcript:

Mata kuliah :K0362/ Matematika Diskrit Tahun :2008 Model Jaringan Petri Pertemuan 13: Bina Nusantara

Learning Outcomes Mahasiswa dapat menunjukkan pengertian tentang jaringan petri dan aplikasinya untuk berbagai jenis contoh aplikasi Bina Nusantara

Introduction First introduced by Carl Adam Petri in 1962. A diagrammatic tool to model concurrency and synchronization in distributed systems. Very similar to State Transition Diagrams. Used as a visual communication aid to model the system behaviour. Based on strong mathematical foundation. Bina Nusantara

Example: EFTPOS System (STD of an FSM) (EFTPOS= Electronic Fund Transfer Point of Sale) Initial 1 digit d1 d2 d3 d4 OK pressed approve Approved Rejected Initial state Final state Reject Bina Nusantara

Example: EFTPOS System (A Petri net) Initial 1 digit d1 d2 d3 d4 OK pressed approve approved Reject Rejected! Bina Nusantara

Scenario 2: Exceptional EFTPOS System Scenario 1: Normal Enters all 4 digits and press OK. Scenario 2: Exceptional Enters only 3 digits and press OK. Bina Nusantara

Example: EFTPOS System (Token Games) Initial 1 digit d1 d2 d3 d4 OK pressed approve approved Reject Rejected! Bina Nusantara

A Petri Net Specification ... consists of three types of components: places (circles), transitions (rectangles) and arcs (arrows): Places represent possible states of the system; Transitions are events or actions which cause the change of state; And Every arc simply connects a place with a transition or a transition with a place. Bina Nusantara

The firing represents an occurrence of the event or an action taken. A Change of State … is denoted by a movement of token(s) (black dots) from place(s) to place(s); and is caused by the firing of a transition. The firing represents an occurrence of the event or an action taken. The firing is subject to the input conditions, denoted by token availability. Bina Nusantara

A Change of State A transition is firable or enabled when there are sufficient tokens in its input places. After firing, tokens will be transferred from the input places (old state) to the output places, denoting the new state. Note that the EFTPOS example is a Petri net representation of a finite state machine (FSM). Bina Nusantara

Example: Vending Machine The machine dispenses two kinds of snack bars – 20c and 15c. Only two types of coins can be used – 10c coins and 5c coins. The machine does not return any change. Bina Nusantara

Example: Vending Machine (STD of an FSM) 0 cent 5 cents 10 cents 15 cents 20 cents Deposit 5c Deposit 10c Take 20c snack bar Take 15c snack bar Bina Nusantara

Example: Vending Machine (A Petri net) Take 15c bar Deposit 5c 0c Deposit 10c Deposit 5c 10c Deposit 20c 15c Take 20c bar Bina Nusantara

Example: Vending Machine (3 Scenarios) Deposit 5c, deposit 5c, deposit 5c, deposit 5c, take 20c snack bar. Scenario 2: Deposit 10c, deposit 5c, take 15c snack bar. Scenario 3: Deposit 5c, deposit 10c, deposit 5c, take 20c snack bar. Bina Nusantara

Example: Vending Machine (Token Games) Take 15c bar Deposit 5c 0c Deposit 10c Deposit 5c 10c Deposit 20c 15c Take 20c bar Bina Nusantara

In the real world, events happen at the same time. Multiple Local States In the real world, events happen at the same time. A system may have many local states to form a global state. There is a need to model concurrency and synchronization. Bina Nusantara

Example: In a Restaurant (A Petri Net) Waiter free Customer 1 Customer 2 Take order Take order wait Order taken wait eating eating Tell kitchen Serve food Serve food Bina Nusantara

Example: In a Restaurant (Two Scenarios) Waiter takes order from customer 1; serves customer 1; takes order from customer 2; serves customer 2. Scenario 2: Waiter takes order from customer 1; takes order from customer 2; serves customer 2; serves customer 1. Bina Nusantara

Example: In a Restaurant (Scenario 1) Waiter free Customer 1 Customer 2 Take order Order taken Tell kitchen wait Serve food eating Bina Nusantara

Example: In a Restaurant (Scenario 2) Waiter free Customer 1 Customer 2 Take order Order taken Tell kitchen wait Serve food eating Bina Nusantara

A sequence of events/actions: Net Structures A sequence of events/actions: Concurrent executions: e1 e2 e3 e1 e2 e3 e4 e5 Bina Nusantara

Net Structures Non-deterministic events - conflict, choice or decision: A choice of either e1, e2 … or e3, e4 ... e1 e2 e3 e4 Bina Nusantara

Net Structures Synchronization e1 Bina Nusantara

Net Structures Synchronization and Concurrency e1 Bina Nusantara

Another Example A producer-consumer system, consist of one producer, two consumers and one storage buffer with the following conditions: The storage buffer may contain at most 5 items; The producer sends 3 items in each production; At most one consumer is able to access the storage buffer at one time; Each consumer removes two items when accessing the storage buffer Bina Nusantara

A Producer-Consumer System k=2 k=1 accepted ready p1 p4 Storage p3 produce accept 3 2 t1 t2 t3 t4 consume send k=5 p2 p5 idle ready k=1 k=2 Producer Consumers Bina Nusantara

A Producer-Consumer Example In this Petri net, every place has a capacity and every arc has a weight. This allows multiple tokens to reside in a place to model more complex behaviour. Bina Nusantara

Behavioural Properties Reachability “Can we reach one particular state from another?” Boundedness “Will a storage place overflow?” Liveness “Will the system die in a particular state?” Bina Nusantara

Recalling the Vending Machine (Token Game) Take 15c bar Deposit 5c 0c Deposit 10c Deposit 5c 10c Deposit 20c 15c Take 20c bar Bina Nusantara

A marking is a state ... M0 = (1,0,0,0,0) M1 = (0,1,0,0,0) p4 M0 = (1,0,0,0,0) t4 M1 = (0,1,0,0,0) p2 t1 M2 = (0,0,1,0,0) M3 = (0,0,0,1,0) p1 M4 = (0,0,0,0,1) t3 t7 t5 Initial marking:M0 t6 p5 t2 p3 t9 Bina Nusantara

Reachability p1 t8 t1 t2 p2 t3 p3 t4 t5 t6 p5 t7 p4 t9 Initial marking:M0 M0 = (1,0,0,0,0) M1 = (0,1,0,0,0) M2 = (0,0,1,0,0) M3 = (0,0,0,1,0) M4 = (0,0,0,0,1) M0 M1 M2 M3 M4 t3 t1 t5 t8 t2 t6 Bina Nusantara

Reachability A firing or occurrence sequence: M0 M1 M2 M3 M4 t3 t1 t5 t8 t2 t6 A firing or occurrence sequence: “M2 is reachable from M1 and M4 is reachable from M0.” In fact, in the vending machine example, all markings are reachable from every marking. Bina Nusantara

Boundedness A Petri net is said to be k-bounded or simply bounded if the number of tokens in each place does not exceed a finite number k for any marking reachable from M0. The Petri net for vending machine is 1-bounded. A 1-bounded Petri net is also safe. Bina Nusantara

Liveness A Petri net with initial marking M0 is live if, no matter what marking has been reached from M0, it is possible to ultimately fire any transition by progressing through some further firing sequence. A live Petri net guarantees deadlock-free operation, no matter what firing sequence is chosen. Bina Nusantara

Liveness The vending machine is live and the producer-consumer system is also live. A transition is dead if it can never be fired in any firing sequence. Bina Nusantara

An Example A bounded but non-live Petri net t1 p3 t3 t4 p1 p2 p4 t2 Bina Nusantara

Another Example An unbounded but live Petri net M0 = (1, 0, 0, 0, 0) Bina Nusantara

Analysis Methods Reachability Analysis: Reachability or coverability tree. State explosion problem. Incidence Matrix and State Equations. Structural Analysis Based on net structures. Bina Nusantara

Other Types of Petri Nets High-level Petri nets Tokens have “colours”, holding complex information. Timed Petri nets Time delays associated with transitions and/or places. Fixed delays or interval delays. Stochastic Petri nets: exponentially distributed random variables as delays. Bina Nusantara

Other Types of Petri Nets Object-Oriented Petri nets Tokens are instances of classes, moving from one place to another, calling methods and changing attributes. Net structure models the inner behaviour of objects. The purpose is to use object-oriented constructs to structure and build the system. Bina Nusantara

An O-O Petri Net Producer Consumer Producer Consumer data: ITEM ready produce Storage accepted consume Producer Consumer send accept Producer data: ITEM ITEM produce( ) void send(ITEM) Consumer data: ITEM ITEM accept( ) void consume(ITEM) Bina Nusantara

Petri Net References Murata, T. (1989, April). Petri nets: properties, analysis and applications. Proceedings of the IEEE, 77(4), 541-80. Peterson, J.L. (1981). Petri Net Theory and the Modeling of Systems. Prentice-Hall. Reisig, W and G. Rozenberg (eds) (1998). Lectures on Petri Nets 1: Basic Models. Springer-Verlag. The World of Petri nets: http://www.daimi.au.dk/PetriNets/ Bina Nusantara