Energy Efficient VM scheduling for Cloud Computing [ Artificial Intelligence and Optimization Algm]

Title: - Energy Efficient VM scheduling for Green Cloud Computing Environment Using Artificial Intelligence and Optimization Algorithm
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Implementation Plan:
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Step 1: Initially we create a Green Cloud -sim environment with n number of users, n number of green cloud hubs, n number of virtual machines, n number of green cloud mediators and n number of cloud service providers.
Step 2: Next, we perform the user requests that are forwarded to the distributed green cloud hubs for generating the SLA based on the services and standards offered by the green cloud service providers in an automated manner. In this step we used the Adaptive Neuro Fuzzy Inference System (ANFIS) algorithm.
Step 3: Once the SLAs of the consumers are generated, the SLAs are forwarded to the green cloud mediator layer, In this layer the dynamic VM scheduling entity is responsible for VM to PM scheduling in dynamic manner using Multi Agent Twin Delayed Deep Deterministic Policy Gradient (MA-TD3PG) algorithm.
3.1: The first agent processes the SLAs constraints by scheduling the demand of the consumers.
3.2: The second agent processes the resource constraints of the VMs (i.e., MIPS-CPU rate of the VM, VM size, VM bandwidth, VM memory, price and VM resource availability).
3.3: The third agent processes PM constraints such as (MIPS-CPU rate of the PM, PM size, price, PM bandwidth, PM memory, and PM resource availability) and predicts the PM state (i.e. future PM state).
Step 4: Then next we perform the VM migration to the optimal PM using a metaheuristics algorithm named Komodo Mlipir Optimization (KMO). For optimal migration we consider metrics such as PM states (i.e., Sleep, cold, hot, off, green states respectively), PM reputation, and cost of the PM.
Step 5: Finally, The Proposed Work evaluate the performance metrics,
• VM migration cost Vs Energy Consumption
• No. of iteration Vs SLA
Software Requirement:
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1) JDK-1.8
2) Netbeans-8.2
3) CloudsimSDN
4) Windows-10(64-bit)
Note:
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Give our file path after the project copied into some specified external disk change the file path as like as given below,
In replace the location "E:\CloudsimSDN\Energy Efficient VM scheduling for Green Cloud Computing Environment\Code\VM Scheduling" instead of your project file path.
For path insformation refer Screenshots and video in the above path i given my path and now you must want to give your repective path.
In the Video VM Scheduling, In Create Cloudsim Environment we already create “Green Cloudsim” Simulation Environment so we press cancel button and you create a Create New Simulation Environment named as “Green Cloudsim”. Then Press Ok and Close the Simulation Environment. This step is same for create tasks.
We implement in this project to netbeans-8.2.
• No. of Iteration Vs cost
• No. of consumer demands Vs Migration time
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Note:
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We perform the EXISTING process based on the Paper Reference 4 Title: - VMS-MCSA: virtual machine scheduling using modified clonal selection algorithm
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