Process Synchronization

1. Concurrent access to shared data

  • Example
    • suppose that two processes A and B have access to a shared variable “Balance”
      • process A: Balance = Balance – 100
      • process B: Balance = Balance – 200
    • Further, assume that Process A and Process B are executing concurrently in a time-shared, multiprogrammed system
    • The statement “balance = balance – 100” is implemented by several machine level instructions such as
      • A1. LOAD R1, BALANCE //load BALANCE from memory to register 1 (R1)
      • A2. SUB R1, 100 //subtract 100 from R1
      • A2. STORE BALANCE, R1 //store R1’s contents back to the memory location of BALANCE
    • Similarly, “BALANCE = BALANCE – 200” can be implemented in the following
      • B1. LOAD R1, BALANCE
      • B2. SUB R1, 200
      • B3. STORE BALANCE, R1
2. Race Condition
  • Observe: in a time-shared system, the exact instruction execution order cannot be predicted
  • Situations like this, where multiple processes are writing or reading some shared data and the final result depends on who runs precisely when, are called race conditions.
  • A serious problem for any concurrent system using shared variables.
  • We must make sure that some high-level code sections are executed atomically.
  • Atomic operation means that it completes in its entirety without worrying about interruption by an other potentially conflict-causing process.
3. The Critical-Section Problem
  • n processes are competing to use some shared data
  • Each process has a code segment, called critical section (critical region), in which the shared data is accessed.
  • Problem: ensure that when one process is executing in its critical section, no other process is allowed to execute in that critical section.
  • The execution of the critical sections by the processes must be mutually exclusive in time
4. Solving Critical-Section Problem
Any solution to the problem must satisfy four conditions
  • Mutual Exclusion
    • no two processes may be simultaneously inside the same critical section
  • Bounded Waiting
    • no process should have to wait forever to enter a critical section
  • Progress
    • no process executing a code segment unrelated to a given critical section can block  another process trying to enter the same crtical section
  • Arbitrary speed
    • no assumption can be made about the relative speed of different processes (though all processes have a non-zero speed)
5. General Structure of a Typical Process
entry section
     critical section
exit section
     remainder section
} while(1);
  • we assume this structure when evaluating possible solutions to Critical Section Problem
  • in the entry section, the process requests “permission”
  • we consider single-processor systems
5. Getting help from hardware
  • one solution supported by hardware may be to use interrupt capability
          critical section;
         remainder section
} while(1);
6. Synchronization Hardware
  • Many machines provide special hardware instructions that help to achieve mutual exclusion
  • The TestAndSet (TAS) instruction tests and modifies the content of a memory word automatically
  • TAS R1, LOCK
    • reads the contents of the memory workd LOCK into register R!
    • and stores a nonzero value (e.g. 1) at the memory word LOCK (again, automatically)
      • assume LOCK = 0;
      • calling TAS R1, LOCK will set R! to 0, and set LOCK to 1
      • Assume lOCK = 1
      • calling TAS R1 LOCK will set R1 to 1, and set LOCK to 1
7. Mutual Exclusion with Test-and-Set
  • Initially, share memory word LOCK = 0;
  • Process pi
      TAS R1, LOCK
      CMP R1, #0
      JNE entry_section //if not equal, jump to entry
         critical section
      MOVE LOCK, #0 //exit section
         remainder section
} while(1);
8. Busy waiting and spin locks
  • This approach is based on busy waiting: if the critical section is being used, waiting processes loop continuously at the entry point
  • a binary lock variable that uses busy waiting is called “spin lock”
9. Semaphores
  • Introduced by E.W. Dijkstra
  • Motivation: avoid busy waiting by locking a process execution until some condition is satisfied
  • Two operations are defined on a semaphore variable s
    • wait(s): also called P(s) or down(s)
    • signal(s): also called V(s) or up(s)
  • We will assume that these are the only user-visible operations on a semaphore 
10. Semaphore Operations
  • Concurrently a semaphore has an integer value. This value is greater than or equal to 0
  • wait(s)
    • wait/block until s.value > 0 //executed atomatically
  • a process executing the wait operation on a semaphore, with value 0 is blocked until the semaphore’s value become greater than 0
    • no busy waiting
  • signal(s)
    • s.value++ //execute automatically
  • If multiple processes are blocked on the same semaphore “s”, only one of them will be awakened when another process performs signal(s) operation
  • Semaphore as a general synchronization tool: semaphores provide a general process synchronization mechanism beyond the “critical section” problem
11. Deadlocks and Starvation
  • A set of processes are aid to be in a deadlock state when every process in the set is waiting for an even that can be caused by another process in the set
  • A process that is forced to wait indefinitely in a  synchronization program is said to be subject to starvation
    • in some execution scenarios, that process does not make any progress
    • deadlocks imply starvation, bu the reverse is not true
12. Classical problem of synchornization
  • Produce-Consumer Program
  • Readers-Writer Problem
  • Dining-Philosophers Problem
  • The solution will use only semaphores as synchronization tools and busy waiting is to be avoided.
13. Producer-Consumer Problem
  • Problem
    • The bounded-buffer producer-consumer problem assumes there is a buffer of size n
    • The producer process puts items to the buffer area
    • The consumer process consumes items from the buffer
    • The producer and the consumer execute concurrently
  • Make sure that
    • the producer and the consumer do not access the buffer area and related variables at the same time
    • no item is made available to the consumer if all the buffer slots are empty
    • no slots in the buffer is made available to the producer if all the buffer slots are full
  • Shared data
    • semaphore full, empty, mutex
  • Initially
    • full = 0; //the number of full buffers
    • empty = n; //the number of empty buffers
    • mutex = 1; // semaphore controlling the access to the buffer pool
  • Producer Process
  • Consumer Process

14. Readers-Writers Problem

  • Problem
    • A data object( e.g. a file) is to be shared among several concurrent processes
    • A write process must have exclusive access to the data object
    • Multiple reader processes may access the shared data simultaneously without a problem
  • Shared data
    • semaphore mutex, wrt
    • int readaccount
  • Initially
    • mutex = 1
    • readcount = 0, wrt= 1
  • Writer Process
  • Read Process
15. Dining-Philosophers Problem
  • Problem
    • five phisolophers share a common circular table
    • there are five chopsticks and a bowl of rice (in the middle)
    • when a philosopher gets hungry, he tries to pick up the closest chopsticks
    • a philosopher may pick up only one chopstick at a time, and he cannot pick up one that is already in use. 
    • when done, he puts down both of his chopsticks, one after the other.
  • Shared Data
    • semaphore chopsticks [5]
  • Initially
    • all semaphore values are 1

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