2020
DOI: 10.1007/s12065-020-00517-2
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Hybrid optimization algorithm for task scheduling and virtual machine allocation in cloud computing

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Cited by 22 publications
(18 citation statements)
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“…On the one hand, some metrics such as makespan and waiting time are user metrics. On the other hand, metrics such as the cost of the provider and energy consumption are the metrics of the provider [12,13]. The popularity of cloud computing is growing day by day, so with an increasing demand for high-performance computing resources, energy consumption in the cloud data center is greatly increased [14].…”
Section: Task Schedulingmentioning
confidence: 99%
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“…On the one hand, some metrics such as makespan and waiting time are user metrics. On the other hand, metrics such as the cost of the provider and energy consumption are the metrics of the provider [12,13]. The popularity of cloud computing is growing day by day, so with an increasing demand for high-performance computing resources, energy consumption in the cloud data center is greatly increased [14].…”
Section: Task Schedulingmentioning
confidence: 99%
“…Sreenivasulu and Paramasivam [34] presented a hybrid algorithm to efficiently assign tasks to VMs. The proposed algorithm first uses a hierarchical process to prioritize tasks.…”
Section: Related Workmentioning
confidence: 99%
“…For Refs. [9,[12][13][14], these studies are based on ant colony algorithm to solve scheduling problems in network environment. They improve the pheromone update rule of the ant colony algorithm by setting different parameters and controlling the constraints to make the algorithm perform better in specific network scenarios.…”
Section: Resource Schedulingmentioning
confidence: 99%
“…The data packet transmission only starts within a specific time period. For a complete data D, the transmission time is calculated as Equation (9).…”
Section: Multi-link Optimization Mechanismmentioning
confidence: 99%
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