Tasks scheduling with lessen Energy usage over a cloud server using Hybrid adaptive Multi-Queue Approach
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Energy consumption high is one the major problem of cloud computing systems. Recent jobs computing environments have the randomness nature and calculate the nodes have to be powered on all the time to await incoming jobs. Green cloud computing is model for enabling convent, environments sustainability in It sector that can be speedily provisioned and released with minimal management effort or green provider interaction. The main advantages of the power saving mode; it can use sleep mode, hibernate mode in which energy consumption are less. The green cloud computing solves the major issues of increase with increase in energy consumption. The main aim of green cloud computing is reduce the energy consumed by physical resources in data centre and save energy and also increases the performance of the system. There are several scheduling algorithms such as Adaptive Min-Min Scheduling Algorithm; Multilevel Feedback Queue Scheduling Algorithm etc. are utilized in green cloud computing to lower the energy consumption and time. So, to solve this problem, in proposed work one scheduling algorithm will be implemented which is Multilevel Feedback Queue Scheduling algorithm. On the basis of them, energy consumption takes place will be reduced after using improved Adaptive Min-Min Scheduling Algorithm. Check the performance of the proposed method using energy and time parameter.
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