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Multi-Target Tasks Scheduling Algorithm for Cloud-environment Throughput Optimization


In cloud-computing data-centers serves to update the resources efficiency. On each data-center many virtual-machines (VMs) are running to use the resources effectively. So, a multi-target assignment algorithm is proposed to enhance the data-center throughput for mapping tasks to a virtual-machine and to reduce the expenses without ignoring SLA (Level of Service Agreement) in cloud-environment. So, this proposed algorithm gives an exact planning method of scheduling. Most of the algorithms will be planning to schedule the tasks that are based on each principle (i.e. running time). Also, the different principles are to be considered such as time of execution, expenses, productivity and so on.


VMs (Virtual-Machines), QOS (Quality-Of-Services)

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