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A Novel Improved Honey Bee Based Load Balancing Technique in Cloud Computing Environment

机译:云计算环境中基于蜜蜂的新型改进负载均衡技术

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To come up with an effective load balancing algorithm in cloud environment which provides sharing the available resources systematically across the network. In this research, an optimized dynamic algorithm is proposed where it makes use of the concept of Honeybee algorithm which is categorized under the dynamic load balancing category. The proposed algorithm provides better makespan which is one of the main features in load balancing.The proposed algorithm is simulated using two simulators namely cloudsim and workflow. Somewhere, it compares both the dependent as well as independent nature of tasks. The main goal of load balancing algorithms in clouds is to reduce the makespan. Here, the algorithm performs with a reduced makespan for both type of tasks. Due to the heterogeneity behaviour of cloud, dynamic algorithms work better when compared to the static methods. The proposed algorithm is dynamic in nature and provides reduced makespan and it uses the resources efficiently. Our future research is based on proposing algorithm considering the other QS factorsof load balancing for both in dependent and independent nature of tasks.
机译:为了在云环境中提出一种有效的负载平衡算法,该算法提供了跨网络系统地共享可用资源的能力。在这项研究中,提出了一种优化的动态算法,其中利用了蜜蜂算法的概念,该算法被归类为动态负载平衡类别。该算法提供了更好的跨度,这是负载均衡的主要特征之一。该算法是使用cloudsim和工作流这两个模拟器进行仿真的。它在某处比较了任务的依存性和独立性。云中的负载平衡算法的主要目标是减少有效期。在此,对于两种类型的任务,该算法的执行时间都会缩短。由于云的异质性行为,与静态方法相比,动态算法效果更好。所提出的算法本质上是动态的,并且减少了有效期,并且有效地利用了资源。我们未来的研究基于提出的算法,该算法考虑了任务的相关和独立性质中负载平衡的其他QS因素。

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