通过使用云操作系统有效利用云资源实现绿色计算

N. Naik, K. Kanagala, J. P. Veigas
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引用次数: 7

摘要

云计算由不同元素和解决方案的融合组成,即运行在单一虚拟化计算环境上的操作系统、试图将来自多个操作系统的物理资源和虚拟资源组合在一起的中间件层,以及影响云服务提供商(例如Amazon)实质性利益的专门应用程序引擎。在这个平台中,大量的资源存在于云中,这些资源需要进行有效的管理。当这些资源被联合起来时,由于兼容性和一致性的限制,主要问题被纳入系统和应用程序中,因此不存在统一的处理环境来进行此操作。在本文中,我们展示了云操作系统(称为虚拟分布式操作系统)的重要性,它将这些云资源绑定在一个统一的处理环境中,有助于以灵活和可访问的方式管理云资源,从而提高系统性能。有几种云操作系统可用于弥合这些云资源之间的差距。实验正在几个现有的平台上进行,这些平台允许用户通过用户友好的GUI访问这些资源。通过使用云操作系统,可以成功地为特定的云用户减少运行机器处理云资源的开销,从而有效地利用系统资源并为绿色计算的特性做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Achieving green computing by effective utilization of cloud resources using a cloud OS
Cloud Computing is composed of amalgamation of different elements and solutions, namely operating systems running on a single virtualized computing environment, middleware layers that attempt to combine physical and virtualized resources from multiple operating systems, and specialized application engines that influence a substantial benefit of the cloud service provider (e.g. Amazon). In this platform, huge amount of resources are present in the cloud and this resources need to be managed effectively. When this resources are united, major problems are incorporated into the system as well as the application due to compatibility and consistency constraints, hence there does not exist a unified processing environment to carry out this operation. In this paper, we demonstrate the importance of cloud OS known as virtual distributed operating system that binds together this cloud resources in a single-unified processing environment that helps to manage the cloud resources in a flexible and accessible approach henceforth enhancing the systems performance. Several cloud OS are available to bridge the gap between this cloud resources. The experiment is being performed on several existing platforms that allows the user to access this resources with a user friendly GUI. By making use of a cloud OS the overhead in handling the cloud resources by the running machine can be successfully reduced for a particular cloud user hence directing towards efficient use of systems resources and contributing towards the features of green computing.
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