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A novel load balancing strategy based on node load comprehensive measuring under cloud computing environment

机译:基于云计算环境下节点负荷综合测量的新型负载平衡策略

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Although the real-time migration of virtual machines brings about multi-functional management, the service performance will decline to a certain extent during the migration process, so shorter downtime and total migration time are very desirable. The traditional load balancing algorithm reflect the load information of each physical machine, but it does not take into account the actual case of virtual machine migration. Therefore, contraposing to the features of cloud computing, the destination node positioning strategy of cloud computing is proposed. It periodically acquires physical node's CPU, memory, bandwidth usage and request connection and perform quantification with unified standard. Then, with computation of factors of virtual machine migration the comprehensive load value is determined finally. The approach measures the utilization rate and transfer cost of node computing resources, which can locate target nodes reasonably and efficiently, so it ensures the reasonable and efficient migration of virtual machines and relative load balancing under cloud computing environments.
机译:虽然虚拟机的实时迁移带来了多功能管理,但在迁移过程中,服务性能将在一定程度上衰落,因此更短的停机时间和总迁移时间非常可取。传统的负载平衡算法反映了每个物理机器的负载信息,但它没有考虑虚拟机迁移的实际情况。因此,提出了云计算的特征的对抗,提出了云计算的目的节点定位策略。它定期收集物理节点的CPU,内存,带宽使用和请求连接,并使用统一标准进行量化。然后,通过计算虚拟机迁移的因素,最终确定综合负载值。该方法测量节点计算资源的利用率和转移成本,可以合理且有效地定位目标节点,因此它确保了虚拟机和云计算环境下的相对负载平衡的合理和有效的迁移。

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