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首页> 外文期刊>Journal of grid computing >Hybrid Approach for Energy Aware Management of Multi-cloud Architecture Integrating user Machines
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Hybrid Approach for Energy Aware Management of Multi-cloud Architecture Integrating user Machines

机译:集成用户机器的多云体系结构的能源感知管理混合方法

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The arrival and development of remotely accessible services via the cloud has transfigured computer technology. However, its impact on personal computing remains limited to cloud-based applications. Meanwhile, acceptance and usage of telephony and smartphones have exploded. Their sparse administration needs and general user friendliness allows all people, regardless of technology literacy, to access, install and use a large variety of applications. We propose in this paper a model and a platform to offer personal computing a simple and transparent usage similar to modern telephony. In this model, user machines are integrated within the classical cloud model, consequently expanding available resources and management targets. In particular, we defined and implemented a modular architecture including resource managers at different levels that take into account energy and QoS concerns. We also propose simulation tools to design and size the underlying infrastructure to cope with the explosion of usage. Functionalities of the resulting platform are validated and demonstrated through various utilization scenarios. The internal scheduler managing resource usage is experimentally evaluated and compared with classical methodologies, showing a significant reduction of energy consumption with almost no QoS degradation.
机译:通过云到达和开发可远程访问的服务已经改变了计算机技术。但是,它对个人计算的影响仍然仅限于基于云的应用程序。同时,电话和智能手机的接受度和使用量激增。他们的稀疏管理需求和普遍的用户友好性使所有人,无论技术水平如何,都可以访问,安装和使用各种应用程序。我们在本文中提出了一种模型和平台,以向个人计算提供类似于现代电话的简单透明的用法。在此模型中,用户机器被集成到经典云模型中,从而扩展了可用资源和管理目标。特别是,我们定义并实现了一个模块化体系结构,其中包括考虑能源和QoS问题的不同级别的资源管理器。我们还建议使用仿真工具来设计和调整基础结构的大小,以应对使用激增的情况。通过各种使用场景验证并演示了所得平台的功能。通过实验评估了管理资源使用情况的内部调度程序,并将其与经典方法进行了比较,显示出能耗的显着降低而几乎没有QoS下降。

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