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An Efficient Study of Job Scheduling Algorithms with ACO in Cloud Computing Environment

机译:云计算环境下基于ACO的作业调度算法的高效研究

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Cloud Computing is emerging as the next generation platform which would facilitate the user on pay use mode as per requirement in modern distributed computing. It gives a better way of scheduling jobs in restricted conditions. Since the number of cloud users need different kind of virtual machines(VM) as per the requirement and cloud provider provides these services as per the Service Level Agreement(SLA) to ensure QoS. To manage large amount of VM requests, then the cloud providers require an efficient job scheduling algorithm. The objective of the paper is to achieve a practical comparison of various job scheduling algorithms for scheduling virtual machines proposes optimization technique which resolves the issues in the scheduling based algorithm that one of these algorithms is better for scheduling and provisioning with the perspective of cost and security of VMs.
机译:云计算正在成为下一代平台,它将按照现代分布式计算的要求为用户提供付费使用模式的便利。它提供了在受限条件下调度作业的更好方法。由于云用户数量根据需求需要不同种类的虚拟机(VM),并且云提供商根据服务水平协议(SLA)提供这些服务以确保QoS。为了管理大量的VM请求,云提供商需要高效的作业调度算法。本文的目的是为了对各种用于虚拟机进行调度的作业调度算法进行实际比较,提出了一种优化技术,该技术解决了基于调度的算法中的问题,即从成本和安全性的角度来看,这些算法之一更适合于调度和供应虚拟机。

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