Analysis of Hybrid optimization Resource Allocation in Cloud

Performance Analysis of Hybrid optimization and Efficient Resource Allocation in Cloud

Implementation Plan:

Step 1: Initially, we create a cloud-sim environment with 10 users, 5 virtual machines, and 50 Tasks.

Step 2: Then, we implement a hybrid Bat and Whale Optimization Algorithm (BA-WOA) for cloud resource management.

Step 3: Next, we optimize resource allocation to improve load balancing and reduce execution time.

Step 4: Next, we enhance cost-effectiveness by minimizing operational costs in resource scheduling.

Step 5: Next, we optimize the resources using Grey Wolf Optimization with GA algorithm.

Step 6: The subsequent performance metrics were used to validate the recommended techniques:

6.1: Number of Tasks vs Resource utilization, (%)
6.2: Number of Tasks vs Response Time (s)
6.3: Number of Tasks vs Throughput (%)
6.4: Number of Tasks vs Computational Cost (%)

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.

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