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Incorporating weighted round robin in honeybee algorithm for enhanced load balancing in cloud environment

机译:在蜜蜂算法中结合加权轮询以增强云环境中的负载平衡

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Cloud computing is one of the fast growing fields in high performance computing. The demand for cloud computing services is increasing due to its availability anywhere anytime. As the users for cloud computing service increases rapidly, the load on individual nodes increases. This situation triggers the need for load balancing. Load balancing is a method by which the user requests are equally distributed among the available virtual machines in the data center to achieve maximum throughput, processing time and response time. In our work, we are incorporating Weighted Round Robin algorithm in Honeybee algorithm in order to achieve minimum data center processing time and response time. For the tasks with priority, we will use Honeybee Inspired algorithm by assigning weights to each virtual machine and the virtual machine is selected according to the resource requirement of the tasks. Tasks with no priority are executed using Weighted Round Robin algorithm.
机译:云计算是高性能计算中快速增长的领域之一。由于随时随地都可以使用,因此对云计算服务的需求正在增加。随着云计算服务用户的迅速增加,单个节点上的负载也随之增加。这种情况触发了负载平衡的需求。负载平衡是一种方法,通过该方法,用户请求可以在数据中心的可用虚拟机之间平均分配,以实现最大的吞吐量,处理时间和响应时间。在我们的工作中,我们将加权循环算法结合到Honeybee算法中,以实现最小的数据中心处理时间和响应时间。对于具有优先级的任务,我们将使用Honeybee Inspired算法,方法是为每个虚拟机分配权重,并根据任务的资源需求选择虚拟机。无优先级的任务使用加权循环算法执行。

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