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Cluster as a Service: A Resource Sharing Approach for Private Cloud

机译:集群即服务:私有云的资源共享方法

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摘要

With the rapid development of cloud computing and big data processing,an increasing number of application frameworks are being considered to run in a "cloud way".This development brings about several challenges to the enterprise private cloud computing platform,e.g.,being able to run most existing heterogeneous applications,providing scalability and elasticity support for newly emerged frameworks,and most importantly,sharing cluster resources effectively.In this paper,we propose a new service model,namely,Cluster as a Service (ClaaS),which is suitable for medium-and small-sized data centers to solve these problems in a relatively easy and general way.The idea behind this model is virtualizing the cluster environment for distributed application frameworks.Most applications can directly run in the virtual cluster environment without any modification,which is a great advantage.Based on lightweight containers,we implement a real system of ClaaS named Docklet to prove the feasibility of this service model.Meanwhile,we preliminarily design the definition of applications to make them easy to deploy.Finally,we present several examples and evaluate the entire system.
机译:随着云计算和大数据处理的快速发展,越来越多的应用程序框架被认为以“云方式”运行。这种发展给企业私有云计算平台带来了一些挑战,例如,如何运行现有的大多数异构应用程序,为新兴的框架提供可伸缩性和弹性支持,最重要的是有效地共享集群资源。本文提出了一种新的服务模型,即集群即服务(ClaaS),适用于中等和小型数据中心以相对容易和通用的方式解决这些问题。此模型的思想是虚拟化分布式应用程序框架的集群环境。大多数应用程序无需更改即可直接在虚拟集群环境中运行,这是这是一个很大的优势。基于轻量级容器,我们实现了一个名为Docklet的ClaaS真实系统,以证明这种方法的可行性。同时,我们初步设计了应用程序的定义,以使其易于部署。最后,我们给出了几个示例并评估了整个系统。

著录项

  • 来源
    《清华大学学报(英文版)》 |2016年第6期|610-619|共10页
  • 作者单位

    Key Lab of High Confidence Software Technologies,Peking University, Beijing 100871, China;

    Key Lab of High Confidence Software Technologies,Peking University, Beijing 100871, China;

    EMC corporation, Beijing 100027, China;

    Key Lab of High Confidence Software Technologies,Peking University, Beijing 100871, China;

    Key Lab of High Confidence Software Technologies,Peking University, Beijing 100871, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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