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A novel QoS-aware mechanism for provisioning of virtual machine resource in cloud

机译:一种在云中提供虚拟机资源的新颖的QoS感知机制

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摘要

Efficient low-level resource provisioning and QoS guaranteed are key challenges for cloud computing. Solving such kind of problem can reduce under- or over-utilization of resources, increase users' satisfaction by serving more users during peak hours, and cut down implementation cost for providers and service cost for users. The existing research works focus on the accurate estimation of the capacity needs, static or dynamic virtual machines creation and scheduling. But significant amount of time is required to create and destroy virtual machines which can be used to serve more requests. In this paper, a novel adaptive QoS-aware virtual machine provisioning mechanism is developed that ensures efficient utilization of the system resources. The VM for similar type of requests has been recycled so that the VM creation time can be minimized and used to serve more user requests. In the proposed model, QoS is linked by a low-level infrastructure resource and is ensured by serving all the tasks within the requirements described in SLA. Tasks are separated using queues and different task is given different tasks are assigned into different queue according to their priority. The CloudSim-based simulation experimental results show that a great number of tasks can be served more effectively compared to others which will help to satisfy customers during the peak hour.
机译:高效的低级资源供应和QoS保证是云计算的关键挑战。解决此类问题可以减少资源的过度利用或过度利用,通过在高峰时段为更多用户提供服务来提高用户满意度,并降低提供商的实施成本和用户的服务成本。现有的研究工作集中在容量需求的准确估计,静态或动态虚拟机的创建和调度上。但是创建和销毁可用于处理更多请求的虚拟机需要大量时间。在本文中,开发了一种新颖的自适应QoS感知虚拟机供应机制,可确保有效利用系统资源。用于类似类型请求的VM已被回收,因此可以将VM创建时间最小化并用于服务更多用户请求。在提出的模型中,QoS由低级基础结构资源链接,并通过为SLA中描述的要求内的所有任务提供服务来确保QoS。使用队列将任务分离,并根据任务的优先级将不同的任务分配给不同的队列。基于CloudSim的模拟实验结果表明,与其他任务相比,可以更有效地处理大量任务,这将有助于在高峰时段满足客户的需求。

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  • 作者单位

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China,College of Computer and Information, Hohai University, Nanjing, China;

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China,College of Computer and Information, Hohai University, Nanjing, China;

    College of Computer and Information, Hohai University, Nanjing, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Virtual machine; QoS; provisioning; CloudSim;

    机译:虚拟机;服务质量供应;CloudSim;

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