Introduction
In an operating system, processes alternate between CPU execution and I/O operations. This behavior is known as the CPU-I/O Burst Cycle. Understanding this cycle is essential for designing efficient CPU scheduling algorithms, which help improve system performance.
1. What is the CPU-I/O Burst Cycle?
A process does not execute in the CPU continuously. Instead, it alternates between two phases:
- CPU Burst: The process executes in the CPU, performing computations such as arithmetic, logical operations, or instruction execution.
- I/O Burst: The process waits for an I/O operation, such as reading from disk, network communication, or user input.
This cycle repeats multiple times during the execution of a process until it terminates.
Example of CPU-I/O Burst Cycle:
Time | Process State | Activity |
---|---|---|
0-3 | CPU Burst | Executing calculations |
3-7 | I/O Burst | Waiting for disk read |
7-12 | CPU Burst | Processing data |
12-16 | I/O Burst | Writing output to file |
2. Characteristics of CPU and I/O Bursts
a) CPU-Bound vs. I/O-Bound Processes
Processes can be classified based on how they use CPU and I/O resources:
- CPU-Bound Processes:
- Spend more time in CPU bursts.
- Perform heavy computations (e.g., scientific simulations, video rendering).
- Require efficient CPU scheduling to maximize performance.
- I/O-Bound Processes:
- Spend more time in I/O operations.
- Frequently wait for user input, disk operations, or network access.
- Need better I/O management to reduce waiting time.
Most processes are a mix of CPU-bound and I/O-bound tasks.
b) Distribution of CPU and I/O Bursts
- Short CPU bursts are more common than long ones.
- A typical program execution follows a random distribution of short CPU bursts and long I/O bursts.
- The CPU scheduler must efficiently manage processes with different burst patterns.
Graph: CPU Burst Duration Distribution
| Number of CPU bursts
| *
| ***
| *****
| *******
| *********
|*******************
|________________________
Burst Duration →
- The peak of the graph shows that most CPU bursts are short.
3. Role of CPU-I/O Burst Cycle in Process Scheduling
Since CPU and I/O bursts occur alternately, the operating system must efficiently schedule processes to keep the CPU busy. This is where CPU scheduling algorithms play a crucial role.
a) Short-Term Scheduling
- The CPU scheduler selects which process will execute next based on the burst cycle.
- When a process enters an I/O burst, another process is scheduled for CPU execution.
b) Scheduling Algorithms and Burst Cycles
Different scheduling algorithms manage CPU bursts differently:
Algorithm | How it Handles CPU Bursts |
---|---|
First-Come, First-Served (FCFS) | Executes processes in order of arrival, regardless of CPU burst length. |
Shortest Job Next (SJN) | Selects the process with the shortest next CPU burst first. |
Round Robin (RR) | Allocates the CPU for a fixed time (time quantum) before switching to another process. |
Priority Scheduling | Processes with higher priority get CPU time first. |
4. CPU-I/O Overlapping for Better Efficiency
Modern operating systems use multiprogramming to improve system performance:
- When one process is in an I/O burst, another process can use the CPU.
- This ensures that the CPU is never idle, maximizing system efficiency.
Direct Memory Access (DMA)
- Some I/O operations use DMA (Direct Memory Access) to transfer data without CPU intervention.
- This allows the CPU to continue executing other processes while I/O operations occur in parallel.
5. Real-World Example of CPU-I/O Burst Cycle
Consider a text editor:
- Typing (CPU Burst): The program processes keystrokes.
- Saving a file (I/O Burst): The system writes data to the disk.
- Auto-spell check (CPU Burst): The system checks spelling.
- Printing a document (I/O Burst): The system sends data to the printer.
6. Conclusion
- The CPU-I/O Burst Cycle is a fundamental concept in process execution.
- Efficient CPU scheduling ensures that processes utilize CPU and I/O resources optimally.
- Understanding CPU bursts helps in designing better scheduling algorithms for improved system performance.