Deadlock and Starvation Deadlock two or more processes

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Deadlock and Starvation • Deadlock – two or more processes are waiting indefinitely for

Deadlock and Starvation • Deadlock – two or more processes are waiting indefinitely for an event that can be caused by only one of the waiting processes • Example: Process 1 wait(b); wait(a); Process 2 wait(a); wait(b);

Deadlock and Starvation • Starvation – indefinite blocking. A process may never be removed

Deadlock and Starvation • Starvation – indefinite blocking. A process may never be removed from the semaphore queue in which it is suspended. • Priority Inversion - Scheduling problem when lower-priority process holds a lock needed by higher-priority process.

Classical Problems of Synchronization • Bounded-Buffer Problem • Readers and Writers Problem • Dining-Philosophers

Classical Problems of Synchronization • Bounded-Buffer Problem • Readers and Writers Problem • Dining-Philosophers Problem

Bounded-Buffer Problem • N buffers, each can hold one item • Semaphore mutex initialized

Bounded-Buffer Problem • N buffers, each can hold one item • Semaphore mutex initialized to the value 1 – 可以到buffer裡面存取嗎 • Semaphore full initialized to the value 0 – 還有東西嗎? • Semaphore empty initialized to the value N. – 還有空位嗎?

Bounded Buffer Problem Producer do { // produce an item in nextp wait (empty);

Bounded Buffer Problem Producer do { // produce an item in nextp wait (empty); wait (mutex);  // add the item to the buffer signal (mutex); signal (full); } while (TRUE);

Bounded Buffer Problem consumer do { // produce an item in nextp wait (full);

Bounded Buffer Problem consumer do { // produce an item in nextp wait (full); wait (mutex);  // remove the item from the buffer signal (mutex); signal (empty); } while (TRUE);

Bounded Buffer Problem consumer(? ? ) do { // produce an item in nextp

Bounded Buffer Problem consumer(? ? ) do { // produce an item in nextp wait (mutex); wait (full);  // remove the item from the buffer signal (empty); signal (mutex); } while (TRUE);

Bounded Buffer Problem consumer(? ? ) do { // produce an item in nextp

Bounded Buffer Problem consumer(? ? ) do { // produce an item in nextp wait (mutex); wait (full);  // remove the item from the buffer signal (empty); signal (mutex); } while (TRUE); • 錯誤,想想看,如果buffer已經空了,producer可 以進入嗎? • buffer空了,但producer進不去!?

Readers-Writers Problem • A data set is shared among a number of concurrent processes

Readers-Writers Problem • A data set is shared among a number of concurrent processes – Readers – only read the data set; they do not perform any updates – Writers – can both read and write • Problem – Allow multiple readers to read at the same time – Only one single writer can access the shared data at the same time

rw-spinlock key=10000; reader writer While((key--)<0) { key++ } while((key=key-10000)<0) { key=key+10000; } //CS key=key+1;

rw-spinlock key=10000; reader writer While((key--)<0) { key++ } while((key=key-10000)<0) { key=key+10000; } //CS key=key+1; key=key+10000;

Readers-Writers Problem variables • Shared Data – Data set – Semaphore mutex initialized to

Readers-Writers Problem variables • Shared Data – Data set – Semaphore mutex initialized to 1 – Semaphore wrt initialized to 1 – Integer readcount initialized to 0

Readers-Writers Problem Writer do {  wait (wrt) ;  //writing is performed  signal (wrt) ;

Readers-Writers Problem Writer do {  wait (wrt) ;  //writing is performed  signal (wrt) ; } while (TRUE);

Readers-Writers Problem Reader do {  wait (mutex) ;  readcount ++ ;  if (readcount ==

Readers-Writers Problem Reader do {  wait (mutex) ;  readcount ++ ;  if (readcount == 1)   wait (wrt) ;  signal (mutex);  // reading is performed  wait (mutex) ;  readcount - - ;  if (readcount == 0)   signal (wrt) ;  signal (mutex) ; } while (TRUE);

Dining-Philosophers Problem

Dining-Philosophers Problem

Dining-Philosophers Problem • Shared data – Bowl of rice (data set) – Semaphore chopstick

Dining-Philosophers Problem • Shared data – Bowl of rice (data set) – Semaphore chopstick [5] initialized to 1

Dining-Philosophers Problem The structure of Philosopher i: (? ? ? ) ? ? ?

Dining-Philosophers Problem The structure of Philosopher i: (? ? ? ) ? ? ? do {  wait ( chopstick[i] );  wait ( chop. Stick[ (i + 1) % 5] );  // eat  signal ( chopstick[i] );  signal (chopstick[ (i + 1) % 5] );  // think } while (TRUE);

Monitor 物件導向版的signal

Monitor 物件導向版的signal

Problems with Semaphores • Incorrect use of semaphore operations: – signal (mutex) …. wait

Problems with Semaphores • Incorrect use of semaphore operations: – signal (mutex) …. wait (mutex) – wait (mutex) … wait (mutex) – Omitting of wait (mutex) or signal (mutex) (or both)

Monitors • A high-level abstraction that provides a convenient and effective mechanism for process

Monitors • A high-level abstraction that provides a convenient and effective mechanism for process synchronization • Only one process may be active within the monitor at a time

Monitors monitor-name { // shared variable declarations procedure P 1 (…) { …. }

Monitors monitor-name { // shared variable declarations procedure P 1 (…) { …. } … procedure Pn (…) {……} Initialization code ( …. ) { … } }

Schematic view of a Monitor

Schematic view of a Monitor

Condition Variables • condition x, y; • Two operations on a condition variable: –

Condition Variables • condition x, y; • Two operations on a condition variable: – x. wait () – a process that invokes the operation is suspended. – x. signal () – resumes one of processes (if any) that invoked x. wait ()

Monitor with Condition Variables

Monitor with Condition Variables

Solution to Dining Philosophers monitor Ding. Philosophers { enum { THINKING, HUNGRY, EATING} state

Solution to Dining Philosophers monitor Ding. Philosophers { enum { THINKING, HUNGRY, EATING} state [5] ; condition self [5]; void pickup (int i) { state[i] = HUNGRY; test(i); if (state[i] != EATING) self [i]. wait(); } void putdown (int i) { state[i] = THINKING; // test left and right neighbors test((i + 4) % 5); test((i + 1) % 5); }

Solution to Dining Philosophers (cont. ) void test (int i) { if ( (state[(i

Solution to Dining Philosophers (cont. ) void test (int i) { if ( (state[(i + 4) % 5] != EATING) && (state[i] == HUNGRY) && (state[(i + 1) % 5] != EATING) ) { state[i] = EATING ; self[i]. signal() ; } } initialization_code() { for (int i = 0; i < 5; i++) state[i] = THINKING; } } /*end of monitor Ding. Philosophers*/

Solution to Dining Philosophers (cont) • Each philosopher I invokes the operations pickup() and

Solution to Dining Philosophers (cont) • Each philosopher I invokes the operations pickup() and putdown() in the following sequence: Dining. Philosophters DP 1; DP 1. pickup (i); //EAT DP 1. putdown (i);

Monitor Implementation Using Semaphores(補充) • Variables semaphore mutex; // (initially = 1) semaphore next;

Monitor Implementation Using Semaphores(補充) • Variables semaphore mutex; // (initially = 1) semaphore next; // (initially = 0) int next_count = 0; • Each procedure F will be replaced by wait(mutex); … body of F; … if (next_count > 0) signal(next) else signal(mutex); • Mutual exclusion within a monitor is ensured.

Monitor Implementation (補充) • For each condition variable x, we have: semaphore x_sem; //

Monitor Implementation (補充) • For each condition variable x, we have: semaphore x_sem; // (initially = 0) int x_count = 0; • The operation x. wait() can be implemented as: x_count++; if (next_count > 0) signal(next); else signal(mutex); wait(x_sem); x_count--;

Monitor Implementation (補充) • The operation x. signal() can be implemented as: if (x_count

Monitor Implementation (補充) • The operation x. signal() can be implemented as: if (x_count > 0) { next_count++; signal(x_sem); wait(next); next_count--; }

A Monitor to Allocate Single Resource (補充) monitor Resource. Allocator {  boolean busy;  condition

A Monitor to Allocate Single Resource (補充) monitor Resource. Allocator {  boolean busy;  condition x;  void acquire(int time) {   if (busy)   x. wait(time);   busy = TRUE;  }  void release() {   busy = FALSE;   x. signal();  }  initialization code() {   busy = FALSE;  } }

Synchronization Examples • • • Solaris Windows XP Linux Pthreads Java

Synchronization Examples • • • Solaris Windows XP Linux Pthreads Java

Solaris Synchronization Implements a variety of locks to support multithreading and real-time processing –

Solaris Synchronization Implements a variety of locks to support multithreading and real-time processing – adaptive mutex lock • Spinlock ==> mutex – readers-writers lock • # reader >> # writer – turnstiles • Mutex + priority inheritance protocol

Windows XP Synchronization • Uses interrupt masks to protect access to global resources on

Windows XP Synchronization • Uses interrupt masks to protect access to global resources on uniprocessor systems • Uses spinlocks on multiprocessor systems • Also provides dispatcher objects which may act as either mutexes and semaphores • Dispatcher objects may also provide events – An event acts much like a condition variable

Linux Synchronization (lightweight locks) Single processor multiprocessor Disable kernel preemption Acquire spin lock (scheduler/interrupt)

Linux Synchronization (lightweight locks) Single processor multiprocessor Disable kernel preemption Acquire spin lock (scheduler/interrupt) Enable kernel preemption Release spin lock

Linux Synchronization (kernel preemption) • Linux 2. 6: fully preemptive kernel – ~ Linux

Linux Synchronization (kernel preemption) • Linux 2. 6: fully preemptive kernel – ~ Linux 2. 4: non-preemptive kernel • The design of the fully preemptive kernel (Linux) – disables/enable interrupts to implement short critical sections (for per-processor variables) – uses a counter, preempt_count, to indicate the number of locks being held by a task (task_struct) • if (preempt_count==0) {the kernel is preemptable} • if (preempt_count!=0) {the kernel is not preemptable}

Linux Synchronization (spinlock and semaphore) • Spinlock -- along with enabling and disabling kernel

Linux Synchronization (spinlock and semaphore) • Spinlock -- along with enabling and disabling kernel preemption – are used in the kernel only when the lock is held for a short duration. • When a lock must held for a longer period, semaphores are appropriate for use.

Pthreads Synchronization • Pthreads API is OS-independent • It provides: – mutex locks –

Pthreads Synchronization • Pthreads API is OS-independent • It provides: – mutex locks – condition variables • Non-portable extensions include: – read-write locks – spin locks

Java • Java provide a monitor-like concurrency mechanism for thread synchronization. – Keyword: synchronized

Java • Java provide a monitor-like concurrency mechanism for thread synchronization. – Keyword: synchronized • Each object in Java has associated with it a single lock. • Java also provides wait() and notify() methods, which are similar in function to the wait() and signal() statements for a monitor.