Analysis of Task Scheduling Energy Aware Resource in cloud

Performance Analysis of Task Scheduling and Energy Aware Resource in cloud

Implementation Plan:

Step 1: Initially, we create a cloud-sim environment with 10 users, 50 virtual machines, and 50 Tasks.

Step 2: Then, we analyse execution time using Round Robin, FCFS and Energy-aware task scheduling algorithms.

Step 3: Next, we optimize VM utilization using resource allocation strategies.

Step 4: Next, we Calculate dynamic and static energy consumption based on VM utilization and task execution patterns.

Step 5: Next, we Implement dynamic resource allocation strategies, including auto-scaling based on loads demand.

Step 6: Next, we Evaluate fault tolerance and load balancing mechanisms to handle and reduce VM failures.

Step 7: The subsequent performance metrics were used to validate the recommended techniques:

7.1: Number of Tasks vs Resource Utilization (%)
7.2: Number of Tasks vs Execution Time (ms)
7.3: Number of Tasks vs Energy Consumption (J)
7.4: Number of VMs vs Load Balancing Efficiency (%)
7.5: Number of VM vs Fault Tolerance Success Rate (%)

Software Requirement:

1. Tools: Net-beans 12.3 with Cloud-sim

2. Programming Language: JAVA – 1.8

3. Operating System: Windows – 11 (64-bit)

Note :-

1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.

2) Please note that this implementation plan does not include any further steps after it is put into implementation.

3) If the plan satisfies your requirement, Please confirm with us.

4) Project based on Simulation only, not a real time project.

Related Pages