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Trending Final Year Projects in Cloud Computing

Final Year Projects in Cloud Computing

In the Cloud environment, the dynamic task scheduling approach schedules the incoming tasks to the resources based on their current load to execute the task efficiently. An effective dynamic task scheduling approach aims to reduce the completion time, energy consumption and improves the utilization rate of the Cloud resources. To solve this constraint, the dynamic resource allocation technique is used in Cloud computing. It allocates the available resources to the users based on their requirements. An effective resource allocation minimizes resource wastage, cost, and SLA violations.

Best Final Year Projects List in Cloud Computing

Performance Evaluation of Cloud Computing environment using CloudSim

File size

Number of files

Cloudlet length

Number of cloudlets

Number of VM migrations

Number of Task migrations

Number of cloudlets

Resource characteristics

Number of requests

Number of VM instances

Number of rounds in auction

Execution time

Response time

Makespan

Network latency

Average CPU utilization

Average power consumption

Average energy consumption

Resource utilization

Load balancing factor

Profit percentage

Total Cost

Data confidentiality (%)

Sensitivity

Computation cost

Storage overhead

DeDuplication Ratio

Truthfulness in Auction

Configuration of Cloud environment using CloudSim

DataCenter:DatacenterCharacteristics (arch, os, vmm, hostList, time_zone, cost, costPerMem, costPerStorage, costPerBw)

Host:RAM, bandwidth, storage, number of processor elements, MIPS, and VM Scheduler

VirtualMachine:RAM, bandwidth, storage, number of processor elements, MIPS, and VM Scheduler

Cloudlet:length, input file size of cloudlet, output file size of cloudlet, RAM, bandwidth and CPU

Cloudlet: DatacenterBroker: VM creation, cloudlet submission to VM, and VM destruction

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