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- W4385653944 abstract "Cloud computing is the new era of technology. In this, tasks executed on the Virtual Machines (VMs) have different properties such as length, size, start time, priority, and execution time. These tasks need an effective and efficient scheduling policy. Task scheduling plays an influential role in allocating the VMs to the task. A well-planned scheduler helps to reduce the time it takes to complete tasks and improve resource utilization, both of which are essential factors in lowering costs. Efficient scheduling is the one that utilizes its resources to their full potential. To lower the makespan and increase the data center’s resource use, a novel task scheduler technique based on a discrete variant of the firefly algorithm (TSDFF) is developed. The technique is simulated on the CloudSim and the simulation result when contrasted with the other prevailing techniques turned out to be performing better in relation to resource usage and makespan." @default.
- W4385653944 created "2023-08-09" @default.
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- W4385653944 date "2023-01-01" @default.
- W4385653944 modified "2023-10-16" @default.
- W4385653944 title "A Discrete Firefly-Based Task Scheduling Algorithm for Cloud Infrastructure" @default.
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- W4385653944 doi "https://doi.org/10.1007/978-981-99-3432-4_4" @default.
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