diff --git a/README.md b/README.md
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-# Buffer-7.0
-The themes for Buffer 7.0 are -
-
-1. Enterprise Systems & Process Optimization
-2. GreenTech
-3. Cybersecurity and Digital Defense
-4. Open Innovation
+# Smart-CPU-Scheduling-Analyzer
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+ SchedViz | About Us
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Who We Are
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About Smart CPU Scheduling Analyzer
+
Empowering students, educators, and developers to master CPU scheduling through interactive visualization and real-time analytics.
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+
+
+
+
Our Mission
+
We believe that understanding CPU scheduling algorithms shouldn't be difficult. Our mission is to provide an intuitive, interactive platform that transforms complex scheduling concepts into visual, hands-on learning experiences. Whether you're a computer science student preparing for exams, an educator teaching operating systems, or a developer optimizing system performance, Smart CPU Scheduling Analyzer gives you the tools to simulate, compare, and analyze algorithms in real-time.
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Our Core Values
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Education First
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Making complex OS concepts accessible through interactive visualization and real-time feedback.
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Data-Driven
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Providing detailed metrics and analytics to help users understand performance trade-offs.
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Open Innovation
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Continuously improving with new algorithms, multi-core support, and advanced features.
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Community Driven
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Built by developers, for learners — incorporating feedback to create the best learning tool.
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+
Meet the Team
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+
Mahi Sheth
+
IT Student
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+
Surabhi Singh
+
IT Student
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+
Vaidehi Sonawane
+
IT Student
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6+
+
Scheduling Algorithms
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10K+
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Active Users
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+
99%
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Accuracy Rate
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+
24/7
+
Simulation Access
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+
Ready to Master CPU Scheduling?
+
Join thousands of students and developers using our platform to understand scheduling algorithms.
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+
+ Smart CPU Scheduler | About Us
+
+
+
+
+
+
+
+
+
+
+
Who We Are
+
About Smart CPU Scheduling Analyzer
+
Empowering students, educators, and developers to master CPU scheduling through interactive visualization and real-time analytics.
+
+
+
+
+
Our Mission
+
We believe that understanding CPU scheduling algorithms shouldn't be difficult. Our mission is to provide an intuitive, interactive platform that transforms complex scheduling concepts into visual, hands-on learning experiences. Whether you're a computer science student preparing for exams, an educator teaching operating systems, or a developer optimizing system performance, Smart CPU Scheduling Analyzer gives you the tools to simulate, compare, and analyze algorithms in real-time.
+
+
+
+
Our Core Values
+
+
+
+
Education First
+
Making complex OS concepts accessible through interactive visualization and real-time feedback.
+
+
+
+
Data-Driven
+
Providing detailed metrics and analytics to help users understand performance trade-offs.
+
+
+
+
Open Innovation
+
Continuously improving with new algorithms, multi-core support, and advanced features.
+
+
+
+
Community Driven
+
Built by developers, for learners — incorporating feedback to create the best learning tool.
+
+
+
+
+
+
Meet the Team
+
+
+
+
Mahi Sheth
+
IT Student
+
+
+
+
Surabhi Singh
+
IT Student
+
+
+
+
Vaidehi Sonawane
+
IT Student
+
+
+
+
+
+
+
6+
+
Scheduling Algorithms
+
+
+
10K+
+
Active Users
+
+
+
99%
+
Accuracy Rate
+
+
+
24/7
+
Simulation Access
+
+
+
+
+
Ready to Master CPU Scheduling?
+
Join thousands of students and developers using our platform to understand scheduling algorithms.
+
+
+
+
+
+
+
+
+
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diff --git a/advanced.html b/advanced.html
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+ SchedViz | Advanced Features
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MLFQ Configuration
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+ Queue 1 (Highest Priority)
+ Quantum: 2
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Round Robin with higher priority (shorter quantum)
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+ Queue 2
+ Quantum: 4
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Round Robin (medium quantum)
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+ Queue 3 (Lowest Priority)
+ Quantum: 8
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FCFS with large quantum
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Multi-core Simulation
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+ CPU Core 1
+ Idle
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No process running
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+ CPU Core 2
+ Idle
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No process running
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+ CPU Core 3
+ Idle
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No process running
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+ CPU Core 4
+ Idle
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No process running
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Dynamic Process Controls
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Simulation Results
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+
Add processes and click "Simulate MLFQ"
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+
—
+
Avg Turnaround Time
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—
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Avg Waiting Time
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—
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CPU Utilization
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—
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Throughput
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diff --git a/app.py b/app.py
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+from flask import Flask, request, jsonify
+from flask_cors import CORS
+import subprocess
+import sys
+
+app = Flask(__name__)
+CORS(app)
+
+@app.route('/run', methods=['POST'])
+def run_scheduler():
+ data = request.json
+
+ processes = data["processes"]
+ algorithm = data["algorithm"]
+ quantum = data.get("quantum", 2)
+
+ # 🔹 Convert input to C++ format
+ input_data = str(len(processes)) + "\n"
+
+ for p in processes:
+ input_data += f"{p['pid']} {p['arrival']} {p['burst']} {p['priority']}\n"
+
+ input_data += algorithm + "\n"
+
+ if algorithm == "RR":
+ input_data += str(quantum) + "\n"
+
+ print("Sending to C++:", input_data) # Debug
+
+ # 🔹 Run C++ program
+ result = subprocess.run(
+ ["./scheduler.exe"],
+ input=input_data,
+ text=True,
+ capture_output=True
+ )
+
+ print("C++ stdout:", result.stdout) # Debug
+ print("C++ stderr:", result.stderr) # Debug
+
+ lines = result.stdout.strip().split("\n")
+
+ gantt = []
+ metrics = {}
+
+ i = 0
+
+ # 🔹 READ GANTT DATA (C++ outputs: pid start end for each block)
+ while i < len(lines) and lines[i] != "---":
+ if lines[i].strip() == "":
+ i += 1
+ continue
+ parts = lines[i].split()
+ if len(parts) >= 3:
+ # Check if it's a valid Gantt line (all numbers)
+ try:
+ pid = int(parts[0])
+ start = int(parts[1])
+ end = int(parts[2])
+ gantt.append({
+ "pid": f"P{pid}",
+ "start": start,
+ "end": end
+ })
+ except ValueError:
+ pass # Skip non-numeric lines (like algorithm name)
+ i += 1
+
+ # skip ---
+ i += 1
+
+ # 🔹 READ METRICS
+ if i < len(lines):
+ try:
+ vals = lines[i].split()
+ if len(vals) >= 2:
+ metrics = {
+ "avg_waiting": float(vals[0]),
+ "avg_turnaround": float(vals[1])
+ }
+ except:
+ metrics = {"avg_waiting": 0, "avg_turnaround": 0}
+
+ return jsonify({
+ "gantt": gantt,
+ "metrics": metrics
+ })
+
+
+if __name__ == "__main__":
+ app.run(debug=True)
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+ Smart CPU Scheduler | Comparison
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Process Configuration
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PID
Arrival Time
Burst Time
Priority
Action
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Average Waiting Time Comparison
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Average Turnaround Time Comparison
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Detailed Metrics Comparison
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Algorithm
+
Avg Waiting Time
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Avg Turnaround Time
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CPU Utilization
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Throughput
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Click "Compare Algorithms" to see results
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diff --git a/guide.html b/guide.html
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+ SchedViz | User Guide
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+ 🤖
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+
🎮 How to Use SchedViz
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Your friendly guide to mastering CPU scheduling algorithms! Let's get started on this fun learning journey.
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+
STEP 1
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Create Your Account
+
Click on Sign Up and create your free account using your Gmail address. Already have an account? Just Login!
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STEP 2
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Configure Processes
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Add processes with their PID, Arrival Time, Burst Time, and Priority. You can also use the Random Generate button for quick testing!
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STEP 3
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Choose Algorithm
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Pick from 6+ algorithms: FCFS, SJF, SRTF, Round Robin, Priority, or MLFQ. Each one behaves differently!
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STEP 4
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Watch the Gantt Chart
+
See your processes come to life! The Gantt Chart shows exactly when each process runs on the CPU.
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STEP 5
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Analyze Metrics
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Check Average Waiting Time, Turnaround Time, CPU Utilization, and Throughput to compare algorithm performance.
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STEP 6
+
Compare Algorithms
+
Visit the Comparison page to see bar charts and pie charts comparing all algorithms side-by-side!
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+
+
+
+
Pro Tips & Tricks
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+
+
+
🎲 Use Random Generate to quickly create test processes!
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🖱️ Hover over Gantt chart blocks to see detailed timing info!
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🥧 The pie chart shows percentage distribution of turnaround times!
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💻 Multi-core simulation shows how processes distribute across CPU cores!
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+
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+
⚙️ MLFQ quantums can be adjusted in the Advanced page!
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+
+
+
🔄 Reset button brings back the default 4 processes!
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+
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+ Need help? Check out the About Us page or contact the team!
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+ SchedViz | Home
+
+
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+
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+
+
+
+
+
+
+
v2.4 · Real-time Simulation
+
Smart CPU Scheduling Analyzer
+
Simulate, visualize, and analyze CPU scheduling algorithms in real-time. Understand performance trade-offs with interactive Gantt charts and detailed metrics.
+
+
+
+
+
+
+
+
+
Real-time Simulation
+
Watch processes execute step-by-step with live CPU state updates and interactive controls.
+
+
+
+
Gantt Chart Visualization
+
Color-coded process timelines with zoom, scroll, and hover tooltips for detailed analysis.
+
+
+
+
Algorithm Comparison
+
Compare FCFS, SJF, SRTF, Round Robin, Priority, and MLFQ side-by-side with metrics.
+
+
+
+
Multi-core Support
+
Simulate parallel execution across multiple CPU cores with load balancing.
+
+
+
+
+
+
+
6+
+
Scheduling Algorithms
+
+
+
Real-time
+
Interactive Gantt Charts
+
+
+
Multi-core
+
Parallel Simulation
+
+
+
100%
+
Performance Metrics
+
+
+
+
+
+
+
+
+
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+
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+ SchedViz | Home
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Smart CPU Scheduling Analyzer
+
Simulate, visualize, and analyze CPU scheduling algorithms in real-time. Understand performance trade-offs with interactive Gantt charts and detailed metrics.
+
+
+
+
+
+
+
+
+
+
+
+
Real-time Simulation
+
Watch processes execute step-by-step with live CPU state updates and interactive controls.
+
+
+
+
Gantt Chart Visualization
+
Color-coded process timelines with zoom, scroll, and hover tooltips for detailed analysis.
+
+
+
+
Algorithm Comparison
+
Compare FCFS, SJF, SRTF, Round Robin, Priority, and MLFQ side-by-side with metrics.
+
+
+
+
Multi-core Support
+
Simulate parallel execution across multiple CPU cores with load balancing.
+
+
+
+
+
+
+
6+
+
Scheduling Algorithms
+
+
+
Real-time
+
Interactive Gantt Charts
+
+
+
Multi-core
+
Parallel Simulation
+
+
+
100%
+
Performance Metrics
+
+
+
+
+
+
+
+
+
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+ Smart CPU Scheduler | Login
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+
+
+
+
+