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Truthful Workflow Scheduling in Cloud Computing Using Hybrid PSO-ACO

机译:使用混合PSO-ACO云计算中的真实工作流程调度

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Task Scheduling is one of the major challenges in any system, whether, parallel system, distributed system, cloud computing, where we execute more than one task at a time. In a distributed system one of issue is task scheduling, based on trusting the accuracy of the information about the resource availability. In a commercial multi-cloud environment, usually any individual providers are focused towards increasing their own profits and rarely care about the utility of users and other providers. In such situations, we cannot trust the information presented by the providers. For such scheduling on the set of resources, we propose a new truthful mechanism. We implement the new hybrid PSO-ACO algorithm to achieve two main objectives minimizing cost and time.
机译:任务调度是任何系统中的主要挑战之一,无论,并行系统,分布式系统,云计算,我们一次执行多个任务的位置。在分布式系统中,问题之一是任务调度,基于信任有关资源可用性的信息的准确性。在商业多云环境中,通常任何个人提供商都集中在增加自己的利润,并且很少关心用户和其他提供者的效用。在这种情况下,我们无法信任提供者提供的信息。对于该集合的调度,我们提出了一种新的真实机制。我们实现了新的混合PSO-ACO算法,实现了最小化成本和时间的两个主要目标。

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