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Understanding Process Synchronization Concepts
Sep 4, 2024
Process Synchronization Lecture Notes
Introduction to Process Synchronization
Focus on understanding:
What is process synchronization?
Why do we need it?
Its importance in operating systems.
Cooperating Processes
Definition:
A cooperating process can affect or be affected by other processes executing in the system.
Two ways cooperating processes can share data:
Logical address space:
Sharing both code and data.
Files or messages:
Sharing data only through these.
Problem with Concurrent Access
Data Inconsistency:
Occurs when multiple processes manipulate shared data concurrently.
Importance of synchronization to ensure orderly execution of processes sharing a logical address space.
Example: Shared Memory Systems
Producer-Consumer Problem:
Producer:
Produces information.
Consumer:
Consumes information.
Example scenarios:
Compilers producing assembly code for assemblers.
Web servers producing web pages for clients.
Buffer Types
Bounded Buffer:
Has a fixed size.
Producer waits if the buffer is full.
Consumer waits if the buffer is empty.
Unbounded Buffer:
No practical size limit.
Implementation of a Bounded Buffer
Use a variable (e.g.,
counter
) to track items in the buffer:
Incremented by the producer when an item is added.
Decremented by the consumer when an item is consumed.
Race Conditions
Example scenario with counter variable:
Initial value:
5
.
Concurrent execution of
counter++
(producer) and
counter--
(consumer).
Possible outcomes after concurrent execution:
Can result in counter values:
4, 5, or 6
.
Correct outcome should be
5
.
Race Condition:
Occurs when the outcome of execution depends on the order of access.
Machine-Level Operations
Understanding how
counter++
and
counter--
work at the machine level:
Counter++:
Load counter value into a register.
Increment register.
Store register value back into counter.
Counter--:
Load counter value into another register.
Decrement register.
Store register value back into counter.
Conclusion
Need for process synchronization to prevent data inconsistency (race conditions).
Various techniques will be discussed in future chapters to maintain data consistency.
Core objective: Ensure orderly execution of cooperating processes.
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