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Optimized virtual machine tree based scheduling technique in cloud using K-way trees

机译:基于云树的优化虚拟机树的调度技术

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Innovations are necessary to ride the inevitable tide of change. Virtualization is used in cloud computing to efficiently use the available resources. The increasing demand of efficient computing resources is leading to adaption of Service Oriented Architecture (SOA). Cloud provides computing resources in various means, including Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Cloud Computing is still at its infant stage and a very new technology, To make the cloud resource efficient for better profits as service, task scheduling plays a vital role. This research paper tackles this issue of task distribution over the cloud resources by the use of k-way virtual machine tree based task scheduling. Heterogeneous Cloud Computing Environment was created for meeting the real-time environments needs. CloudSim toolkit is used to simulate the results, the results show that the proposed algorithm gives better results in terms of response time of the cloud leading to a better QoS.
机译:创新是骑行不可避免的改变的必要条件。虚拟化用于云计算以有效地使用可用资源。有效计算资源的需求越来越大,导致适应服务导向架构(SOA)。云提供各种手段的计算资源,包括软件作为服务(SaaS),平台作为服务(PaaS)和作为服务的基础架构(IAAS)。云计算仍处于婴儿阶段和一项非常新的技术,使云资源有效以获得更好的利润作为服务,任务调度起到重要作用。本研究论文通过使用基于K-Way虚拟机树的任务调度来解决云资源的任务分布问题。创建异构云计算环境以满足实时环境需求。 CloudSim Toolkit用于模拟结果,结果表明,该算法在云的响应时间方面具有更好的结果,导致更好的QoS。

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