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Modified Bees Life Algorithm for Job Scheduling in Hybrid Cloud

机译:混合云中用于作业调度的改进Bees Life算法

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Cloud computing is one of the major progenies of distributed system, having excellent service-oriented nature that differentiates it from other IT related knowledge domain. Today, the number of activities and its working capability and capacity in cloud computing environment have been increasing very hastily. Job scheduling is one the vigorous tasks performed in order to gain maximum profit. The efficiency of whole cloud computing services directly relate to the performance of cloud job scheduler associated with cloud data center. During our research we studied current Algorithms for this scheduling task and found that it could still achieve more improvement in the task scheduling process. Therefore, in this paper, we proposed a modified task scheduling algorithm based on the concept of Bees life algorithm and greedy algorithm to gain optimistic value of service in hybrid cloud. The main aim of the system is to achieve an affirmative response at the end users and utilization of resources is done in a very transient manner.
机译:云计算是分布式系统的主要后代之一,具有出色的面向服务的特性,可将其与其他IT相关的知识领域区分开来。如今,活动的数量及其在云计算环境中的工作能力和容量一直在迅速增加。作业调度是为了获得最大利润而执行的艰巨任务之一。整个云计算服务的效率直接关系到与云数据中心关联的云作业调度程序的性能。在我们的研究过程中,我们研究了当前用于此调度任务的算法,发现该算法仍可以在任务调度过程中实现更大的改进。因此,本文提出了一种基于Bees生命算法和贪婪算法的改进任务调度算法,以获得混合云服务的乐观价值。该系统的主要目的是在最终用户处获得肯定的响应,并且以非常短暂的方式完成资源的利用。

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