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An effective analysis on various scheduling algorithms in cloud computing

机译：云计算中各种调度算法的有效分析

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Cloud Computing focuses on demand services to the customers as pay-as-you go model with different Service level agreements at different levels. Most of the cloud services run with virtual machines. In this scenarios task scheduling plays an important role to schedule the tasks in an effective manner. The existing scheduling algorithms have the limitations like less memory utilization, high execution time, and high response time. These limitations in existing algorithms lead to inadequate load balance in dynamic situations, and provide the resource inefficient manner. In this paper, we have studied wide range of existing scheduling algorithms in cloud computing with respect to new metrics such as average migration time and electricity price per unit cost which are missing in existing studies, also studied conventional performance metrics like Response time, makespan, QOS, Memory utilization and Response time. Eventually, we have done the comparison study on existing scheduling algorithms and based on our study we identify the new research direction in the cloud scheduling algorithms.
机译：云计算专注于为客户提供按需付费的按需服务模型，该协议具有不同级别的不同服务级别协议。大多数云服务都与虚拟机一起运行。在这种情况下，任务调度在有效调度任务中起着重要的作用。现有的调度算法具有诸如较少的存储器利用率，高的执行时间和高的响应时间的限制。现有算法的这些局限性导致动态情况下的负载平衡不足，并导致资源效率低下。在本文中，我们针对云计算中现有的调度算法进行了广泛的研究，涉及新指标（例如平均迁移时间和每单位成本的电价），而这些都是现有研究中所缺少的，还研究了常规性能指标，例如响应时间，制造时间， QOS，内存利用率和响应时间。最终，我们对现有调度算法进行了比较研究，并在此基础上确定了云调度算法的新研究方向。

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