Cloud computing models use virtual machine (VM) clusters for protecting resources from failure with backup capability. Cloud user tasks are scheduled by selecting suitable resources for executing the task in the VM cluster. Existing VM clustering processes suffer from issues like preconfiguration, downtime, complex backup process, and disaster management. VM infrastructure provides the high availability resources with dynamic and on-demand configuration. The proposed methodology supports VM clustering process to place and allocate VM based on the requesting task size with bandwidth level to enhance the efficiency and availability. The proposed clustering process is classified as preclustering and postclustering based on the migration. Task and bandwidth classification process classifies tasks with adequate bandwidth for execution in a VM cluster. The mapping of bandwidth to VM is done based on the availability of the VM in the cluster. The VM clustering process uses different performance parameters like lifetime of VM, utilization of VM, bucket size, and task execution time. The main objective of the proposed VM clustering is that it maps the task with suitable VM with bandwidth for achieving high availability and reliability. It reduces task execution and allocated time when compared to existing algorithms.

中文翻译：

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在云计算中使用基于任务的调度进行虚拟机集群和通信的有效技术

云计算模型使用虚拟机 (VM) 集群通过备份功能保护资源免受故障。通过选择合适的资源在 VM 集群中执行任务来调度云用户任务。现有的 VM 集群流程存在预配置、停机、复杂的备份流程和灾难管理等问题。VM 基础架构通过动态和按需配置提供高可用性资源。所提出的方法支持虚拟机集群过程，根据请求任务的大小和带宽水平来放置和分配虚拟机，以提高效率和可用性。建议的聚类过程根据迁移分为前聚类和后聚类。任务和带宽分类过程将具有足够带宽的任务分类以在 VM 集群中执行。带宽到 VM 的映射是根据集群中 VM 的可用性完成的。VM 集群过程使用不同的性能参数，例如 VM 的生命周期、VM 的利用率、存储区大小和任务执行时间。所提出的 VM 集群的主要目标是将任务映射到具有带宽的合适 VM，以实现高可用性和可靠性。与现有算法相比，它减少了任务执行和分配的时间。